Informačná stránka zamestnanca SAV

Publikačná činnosť

Ing. Štefan Dlugolinský, PhD.

Publikačná činnosť obsahuje údaje z on-line databázy Ústrednej Knižnice SAV.

• DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - ŠELENG, Martin. Vyhľadávanie informácií na webe podľa vzdialenosti. In 4th Workshop on Intelligent and Knowledge oriented Technologies : WIKT 2009 proceedings. Editor František Babič, Ján Paralič. - Košice : Centre for Information Technologies, FEEI TU Košice, 2009, p. 34-43. ISBN 978-80-89284-42-9. Typ: AED
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - JECKEL, Eugen - ŠELENG, Martin - HLUCHÝ, Ladislav. Experimentálne vyhodnotenie extrakcie informácií alebo čo sme sa naučili. In 4th Workshop on Intelligent and Knowledge oriented Technologies : WIKT 2009 proceedings. Editor František Babič, Ján Paralič. - Košice : Centre for Information Technologies, FEEI TU Košice, 2009, p. 59-64. ISBN 978-80-89284-42-9. Typ: AED
• DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - HLUCHÝ, Ladislav. Towards a search system for the Web exploiting spatial data of a web document. In DEXA 2010 : Database and Expert Systems Applications: proceedings. - Los Alamitos : IEEE Computer Society, 2010, p. 27-31. ISBN 978-0-7695-4174-7. ISSN 1529-4188. Dostupné na: https://doi.org/10.1109/DEXA.2010.27 Typ: ADMB
  Citácie:

  [2.1] KOLLAR, Jan - VAGAC, Michal. ASPECT-ORIENTED APPROACH TO METAMODEL ABSTRACTION. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2012, vol. 31, no. 5, pp. 983-1002., Registrované v: WOS
  [3] CRNIŠANIN, A.B. - RANČIĆ, D.D. - SPALEVIĆ, P.Ć. Architecture of integrated gis and GPS for vehicle monitoring. In 1st Logistics International Conference. 2013, pp. 67-71.
  [3] NAVRAT, P. Cognitive traveling in digital space: from keyword search through exploratory information seeking. In Open Computer Science. 2012, vol. 2, no. 3, pp. 170-182.
  [4] NÁVRAT, P. From keyword search towards exploratory information seeking, and beyond. In International Scientific Conference INFORMATICS 2011. 2011, pp. 9-15.
• DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal. Model extrakcie informácií pre platformu Java. In ZNALOSTI 2010 : Sborník příspěvků 9. ročníku konference. Editor Pavel Smrž. - Praha : Vysoká škola technická v Praze, 2010, p. 195-198. ISBN 978-80-245-1636-3. Typ: AEC
• KVASSAY, Marcel - LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan. Reconstructing social networks from emails. In DATESO 2010 : databases, text, specifications, objects. - Praha : MATFYZPRESS publishing house, 2010, p. 50-59. ISBN 978-80-7378-116-3. Typ: ADMB
  Citácie:

  [1.2] BURKHART, Thomas - WERTH, Dirk - LOOS, Peter. Context-sensitive business process support based on emails. In WWW'12 Proceedings of the 21st Annual Conference on World Wide Web Companion, 2012-05-21, pp. 851-855., Registrované v: SCOPUS
  [1.2] ZENG, Zhi - LIU, Ren Yi - ZHANG, Feng - LIU, Nan. A multi-core parallel fusion algorithm for remote-sensing image. In 2010 International Conference on Multimedia Technology, ICMT 2010, 2010-12-01, pp. Dostupné na: https://doi.org/10.1109/ICMULT.2010.5631063, Registrované v: SCOPUS
• KVASSAY, Marcel - LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav. Graph transformations for semantic email search. In 5th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2010 proceedings. Eds M. Laclavík, L. Hluchý. - Bratislava : Ústav informatiky SAV, 2010, p. 64-67. ISBN 978-80-970145-2-0. Typ: AED
• LACLAVÍK, Michal - ŠELENG, Martin - DLUGOLINSKÝ, Štefan - GATIAL, Emil - HLUCHÝ, Ladislav. Tools for email based recommendation in enterprise. In ENTERprise Information Systems : CENTERIS 2010. - Berlin : Springer, 2010, part I, p. 209-218. ISBN 978-3-642-16401-9. ISSN 1865-0929. Dostupné na: https://doi.org/10.1007/978-3-642-16402-6_23 Typ: ADMB
  Citácie:

  [1.1] VACEK, Milos. How To Survive Email. In 2014 IEEE 9TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), 2014, vol., no., pp. 49-54., Registrované v: WOS
  [1.1] VACEK, Milos. Latent Email Communication Patterns. In COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2016, PT I. ISSN 0302-9743, 2016, vol. 9875, no., pp. 580-589., Registrované v: WOS
  [3] VACEK, M. Email Overload: Causes, Consequences and the Future. In International Journal of Computer Theory and Engineering. 2014, vol. 6, no. 2, pp. 170-176.
• LACLAVÍK, Michal - ŠELENG, Martin - GATIAL, Emil - DLUGOLINSKÝ, Štefan - BALOGH, Zoltán - HLUCHÝ, Ladislav - JECKEL, Eugen - HORVÁTH, Pavol. AIIA: adaptívna platforma na podporu interoperability v súkromnom a verejnom sektore. In ZNALOSTI 2010 : Sborník příspěvků 9. ročníku konference. Editor Pavel Smrž. - Praha : Vysoká škola technická v Praze, 2010, p. 227-230. ISBN 978-80-245-1636-3. Typ: AEC
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - KVASSAY, Marcel - HLUCHÝ, Ladislav. Use of email social networks for enterprise benefit. In WI-IAT 2010 : the 2010 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. Eds X.J. Huang, I. King, V. Raghavan, S. Rueger. - Los Alamitos : IEEE Computer Society, 2010, p. 67-70. ISBN 978-0-7695-4191-4. Typ: AEC
  Citácie:

  [3.1] BIER, E.A. - BRDICZKA, O. Generating a relationship visualization for nonhomogeneous entities. United States Patent No. 9721039 B2. 2017.
  [3] NAVRAT, P. Cognitive traveling in digital space: from keyword search through exploratory information seeking. In Open Computer Science. 2012, vol. 2, no. 3, pp. 170-182.
  [3] SWACHA, J. An e-mail Exchange Analysis Framework for Project Management Support. In Informatyka Ekonomiczna Business Informatics. 2011, no. 202, pp. 88-96.
  [3] SWACHA, J. Analiza sieci społecznych jako źródło wiedzy o czynnikach ryzyka dla funkcjonowania organizacji. In Drogi dochodzenia do społeczeństwa informacyjnego. 2011, pp. 565-572.
  [4] NÁVRAT, P. From keyword search towards exploratory information seeking, and beyond. In International Scientific Conference INFORMATICS 2011. 2011, pp. 9-15.
• DLUGOLINSKÝ, Štefan - KVASSAY, Marcel - HLUCHÝ, Ladislav - WRZESZCZ, Michał - KRÓL, Dariusz - KITOWSKI, Jacek. Using parallelization for simulation of human behaviour. In GCCP 2011 : 7th International Workshop on Grid Computing for Complex Problems. - Bratislava : Institute of Informatics SAS, 2011, p. 258-265. ISBN 978-80-970145-5-1. Typ: AFDA
  Citácie:

  [1.1] RAUCH, Lukasz - GORECKI, Grzegorz - PIETRZYK, Maciej - MACIOL, Piotr. Metamodelling with Artificial Neural Networks by using High Performance Computing infrastructures. In PROCEEDINGS OF THE 19TH INTERNATIONAL ESAFORM CONFERENCE ON MATERIAL FORMING (ESAFORM 2016). ISSN 0094-243X, 2016, vol. 1769, no., pp., Registrované v: WOS
• HLUCHÝ, Ladislav - KVASSAY, Marcel - DLUGOLINSKÝ, Štefan - SCHNEIDER, Bernhard - BRACKER, Holger - KRYZA, Bartosz - KITOWSKI, Jacek. Handling internal complexity in highly realistic agent-based models of human behaviour. In 6th IEEE International Symposium on Applied Computational Intelligence and Informatics : SACI 2011. - IEEE, 2011, p. 11-16. ISBN 978-1-4244-9107-0. Dostupné na: https://doi.org/10.1109/SACI.2011.5873089 Typ: ADMB
  Citácie:

  [1.2] ALRIZQ, Mesfer - DE DONCKER, Elise - FONG, Alvis. Changing Energy Consumption Patterns Based on Multi-Agent Human Behavior Modeling for Analyzing the Effects of Feedback Techniques. In 2019 IEEE Power and Energy Conference at Illinois, PECI 2019, 2019-04-24, pp., Registrované v: SCOPUS
  [3.1] GASIOROWSKI, P. - VASSILEV, V. - OUAZZANE, K. Simulation-based visual analysis of individual and group dynamic behavior. In Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'16). 2016, pp. 303-309.
  [3] PATRIX, J. Détection de comportements à travers des modèles multi-agents collaboratifs, appliquée à l'évaluation de la situation, notamment en environnement asymétrique avec des données imprécises et incertaines. Thèse de doctorat. Université de Caen. 2013, 191 p.
• KVASSAY, Marcel - HLUCHÝ, Ladislav - KRYZA, Bartosz - KITOWSKI, Jacek - ŠELENG, Martin - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal. Combining object-oriented and ontology based approaches in human behaviour modelling. In SAMI 2011 : 9th IEEE International Symposium on Applied Machine Intelligence and Informatics. - Budapest : IEEE, 2011, p. 177-182. ISBN 978-1-4244-7428-8. Dostupné na: https://doi.org/10.1109/SAMI.2011.5738871 Typ: ADMB
  Citácie:

  [3] PATRIX, J. Détection de comportements à travers des modèles multi-agents collaboratifs, appliquée à l'évaluation de la situation, notamment en environnement asymétrique avec des données imprécises et incertaines. Thèse de doctorat. Université de Caen. 2013, 191 pp.
• KVASSAY, Marcel - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav. Comparing the spread of activation with the nearest neighbour method in semantic email search. In ZNALOSTI 2011 : sborník příspěvků 10. ročníku konference. - Ostrava : Fakulta elektroniky a informatiky, VŠB, 2011, p. 275-278. ISBN 978-80-248-2369-0. Typ: AEC
• KVASSAY, Marcel - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - ŠELENG, Martin - HLUCHÝ, Ladislav. Návrh systému pre simulácie správania sa davu v mestskom prostredí. In 6th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2011 proceedings. - Košice : Centre for Information Technologies, FEI TU Košice, 2011, p. 103-108. ISBN 978-80-89284-99-3. Typ: AED
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - ŠELENG, Martin - KVASSAY, Marcel - GATIAL, Emil - BALOGH, Zoltán - HLUCHÝ, Ladislav. Email analysis and information extraction for enterprise benefit. In Computing and informatics, 2011, vol. 30, no. 1, p. 57-87. (2010: 0.356 - IF, Q4 - JCR, 0.178 - SJR, Q3 - SJR, karentované - CCC). (2011 - Current Contents). ISSN 1335-9150. Typ: ADDA
  Citácie:

  [1.1] ALBERTS, Inge - FOREST, Dominic. Email pragmatics and automatic classification: A study in the organizational context. In JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY. ISSN 1532-2882, 2012, vol. 63, no. 5, pp. 904., Registrované v: WOS
  [1.1] CENTOBELLI, Piera - CERCHIONE, Roberto - ESPOSITO, Emilio - SHASHI. Evaluating environmental sustainability strategies in freight transport and logistics industry. In BUSINESS STRATEGY AND THE ENVIRONMENT. ISSN 0964-4733, 2020, vol. 29, no. 3, pp. 1563-1574., Registrované v: WOS
  [1.1] CENTOBELLI, Piera - CERCHIONE, Roberto - ESPOSITO, Emilio. Developing the WH2 framework for environmental sustainability in logistics service providers: A taxonomy of green initiatives. In JOURNAL OF CLEANER PRODUCTION. ISSN 0959-6526, 2017, vol. 165, no., pp. 1063-1077., Registrované v: WOS
  [1.1] GENTILE, Anna Lisa - LANFRANCHI, Vitaveska - MAZUMDAR, Suvodeep - CIRAVEGNA, Fabio. Extracting Semantic User Networks from Informal Communication Exchanges. In SEMANTIC WEB ISWC 2011, PT I. ISSN 0302-9743, 2011, vol. 7031, no., pp. 209-224., Registrované v: WOS
  [1.1] GRAETHER, Wolfgang - MATRANGA, Isabel - SAVARINO, Vincenzo - FURDIK, Karol - TOMASEK, Martin. Improving Collaboration Between Large and Small Enterprises Using Networked Services. In RISKS AND RESILIENCE OF COLLABORATIVE NETWORKS. ISSN 1868-4238, 2015, vol. 463, no., pp. 201-208., Registrované v: WOS
  [1.1] HADASCH, Frank - MAEDCHE, Alexander - GREGOR, Shirley. The influence of directive explanations on users' business process compliance performance. In BUSINESS PROCESS MANAGEMENT JOURNAL. ISSN 1463-7154, 2016, vol. 22, no. 3, pp. 458-483., Registrované v: WOS
  [1.1] LI, Binyang - WONG, Kam-fai - ZHOU, Lanjun - WEI, Zhongyu - XU, Jun. Pests Hidden in Your Fans: An Effective Approach for Opinion Leader Discovery. In CHINESE COMPUTATIONAL LINGUISTICS AND NATURAL LANGUAGE PROCESSING BASED ON NATURALLY ANNOTATED BIG DATA. ISSN 0302-9743, 2013, vol. 8208, no., pp. 227-237., Registrované v: WOS
  [1.1] LIU, Nana. Rapid Classification and Analysis for E-Commerce Goods Based on Multitask Learning. In SECURITY AND COMMUNICATION NETWORKS, 2021, vol. 2021, no., pp. ISSN 1939-0114. Dostupné na: https://doi.org/10.1155/2021/1725544, Registrované v: WOS
  [1.1] LUKAC, Gabriel - SABOL, Tomas - TOMASEK, Martin - FURDIK, Karol. A process-oriented service infrastructure for networked enterprises. In ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS. ISSN 1567-4223, 2017, vol. 21, no., pp. 1-16., Registrované v: WOS
  [1.1] MARIN, Cesar A. - LOPARDO, Gabriel - MEHANDJIEV, Nikolay. A Diversity Analysis of the Impact of an Interoperability Tool to a Business Ecosystem. In 2011 20TH IEEE INTERNATIONAL WORKSHOPS ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE). ISSN 1524-4547, 2011, vol., no., pp. 35., Registrované v: WOS
  [1.1] RANJAN, Kunal - DEY, Lipika. Email Analytics for Support Center Performance Analysis. In 2014 IEEE International Conference on Data Mining Workshop (ICDMW), 2014, vol., no., pp. 810-817., Registrované v: WOS
  [1.1] TAMME, Tonu. Simplifying Email Management. In HUMAN LANGUAGE TECHNOLOGIES: THE BALTIC PERSPECTIVE. ISSN 0922-6389, 2012, vol. 247, no., pp. 230., Registrované v: WOS
  [1.1] WAJID, Usman - DE LA HIDALGA, Abraham Nieva - CARPENTER, Martin - MARIN, Cesar A. Email-based Negotiation to Facilitate Collaboration in SME Networks. In 2011 20TH IEEE INTERNATIONAL WORKSHOPS ON ENABLING TECHNOLOGIES: INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE). ISSN 1524-4547, 2011, vol., no., pp. 19., Registrované v: WOS
  [1.1] WAJID, Usman - NAMOUN, Abdallah - MARIN, Cesar A. - MEHANDJIEV, Nikolay. Designing and evaluating a system of document recognition to support interoperability among collaborative enterprises. In COMPUTERS IN INDUSTRY. ISSN 0166-3615, 2013, vol. 64, no. 5, pp. 598., Registrované v: WOS
  [1.2] DORN, Christoph - DUSTDAR, Schahram. Supporting dynamic, people-driven processes through self-learning of message flows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2011-07-19, 6741 LNCS, pp. 657-671., Registrované v: SCOPUS
  [1.2] DORN, Christoph - MARÍN, César A. - MEHANDJIEV, Nikolay - DUSTDAR, Schahram. Self-learning predictor aggregation for the evolution of people-driven ad-hoc processes. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2011-09-20, 6896 LNCS, pp. 215-230., Registrované v: SCOPUS
  [1.2] GENTILE, A. L. - CANO, A. E. - DADZIE, A. S. - LANFRANCHI, V. - IRESON, N. Does size matter? when small is good enough. In CEUR Workshop Proceedings. ISSN 16130073, 2011-12-01, 718, pp. 45-56., Registrované v: SCOPUS
  [1.2] HASSANI, Hossein - BENEKI, Christina - UNGER, Stephan - MAZINANI, Maedeh Taj - YEGANEGI, Mohammad Reza. Text mining in big data analytics. In Big Data and Cognitive Computing, 2020-03-01, 4, 1, pp. 1-34., Registrované v: SCOPUS
  [1.2] MIRANDA HENRÍQUEZ, Carlos - GUZMÁN, Jaime. Information extraction from the web to identify actions of an automated planning domain model | Extracción de información desde la web para identificar acciones de un modelo de dominio en planificación automática. In Ingeniare. ISSN 07183291, 2015-01-01, 23, 3, pp. 439-448., Registrované v: SCOPUS
  [1.2] RAUSCHER, François - MATTA, Nada - ATIFI, Hassan. Context aware knowledge zoning: Traceability and business emails. In IFIP Advances in Information and Communication Technology. ISSN 18684238, 2016-01-01, 497, pp. 66-79., Registrované v: SCOPUS
  [1.2] RISS, Uwe V. Email between private use and organizational purpose. In WWW'12 Proceedings of the 21st Annual Conference on World Wide Web Companion, 2012-05-21, pp. 837-839., Registrované v: SCOPUS
  [2.1] MARIN, Cesar A. - CARPENTER, Martin - WAJID, Usman - MEHANDJIEV, Nikolay. DEVOLVED ONTOLOGY IN PRACTICE FOR A SEAMLESS SEMANTIC ALIGNMENT WITHIN DYNAMIC COLLABORATION NETWORKS OF SMES. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2011, vol. 30, no. 1, pp. 31., Registrované v: WOS
  [3.1] KHAN, M. - KHAN, S.S. - ALHARBI, Y. Text mining challenges and applications, a comprehensive review. In International Journal of Computer Science and Network Security (IJCSNS). ISSN1738-7906, 2020, vol. 20, no. 12, pp. 138-148.
  [3.1] NAIR, A.M. - JUSTUS, A.A. - RAMESH, A. - MR, B.R. Event extraction from emails. In International Journal of Computer Applications. ISBN 0975-8887, 2020, vol. 975, pp. 1-8.
  [3] HENRIQUEZ MIRANDA, C. - GUZMÁN LUNA, Jaime. Identificar entidades para un modelo de acción en Planificación Automática. In VI Congreso Internacional de Computación y Telecomunicaciobes. COMTEL 2014. 2014, pp. 145-150.
  [3] HENRIQUEZ MIRANDA, C. - GUZMÁN, J.A. Model information extraction from the web based on design patterns (Modelo de extracción de información desde recursos web para aplicaciones de la planificación automática). In Prospectiva. 2012, vol. 10, no. 2, pp. 74-80.
  [3] KACHARE, A. Analysis and visualization of e-mail communication using graph template language. In SAS Global Forum 2013, Reporting and Information Visualization. 2013, 14 p.
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - ŠELENG, Martin - KVASSAY, Marcel - SCHNEIDER, Bernhard - BRACKER, Holger - WRZESZCZ, Michał - KITOWSKI, Jacek - HLUCHÝ, Ladislav. Agent-based simulation platform evaluation in the context of human behavior modeling. In AAMAS 2011 : the tenth International Conference on Autonomous Agents and Multiagent Systems. - Berlin : Springer, 2011, lNAI 7068, p. 396-410. Dostupné na: https://doi.org/10.1007/978-3-642-27216-5_30 Typ: ADMA
  Citácie:

  [1.1] ARADEA - SUWARDI, Iping Supriana - SURENDRO, Kridanto. An Overview of Multi Agent System Approach in Knowledge Management Model. In 2014 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY SYSTEMS AND INNOVATION (ICITSI), 2014, vol., no., pp. 62-69., Registrované v: WOS
  [1.1] HU, Nan - DECRAENE, James - CAI, Wentong. EFFECTIVE CROWD CONTROL THROUGH ADAPTIVE EVOLUTION OF AGENT-BASED SIMULATION MODELS. In 2012 WINTER SIMULATION CONFERENCE (WSC). ISSN 0891-7736, 2012, vol., no., pp., Registrované v: WOS
  [1.1] LEE, Jae Woong - HELAL, Abdelsalam - SUNG, Yunsick - CHO, Kyungeun. Context-driven Control Algorithms for Scalable Simulation of Human Activities in Smart Homes. In 2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING, 2013, vol., no., pp. 285-292., Registrované v: WOS
  [1.1] MILLER, Matt L. - RINGELMAN, Kevin M. - SCHANK, Jeffrey C. - EADIE, John M. SWAMP: An agent-based model for wetland and waterfowl conservation management. In SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL. ISSN 0037-5497, 2014, vol. 90, no. 1, pp. 52-68., Registrované v: WOS
  [1.1] RODEMANN, Tobias - ECKHARDT, Tom - UNGER, Rene - SCHWAN, Torsten. Using Agent-Based Customer Modeling for the Evaluation of EV Charging Systems. In ENERGIES, 2019, vol. 12, no. 15, pp., Registrované v: WOS
  [1.2] BAJRACHARYA, Kishoj - DUBOZ, Raphael. Comparison of three agent-based platforms on the basis of a simple epidemiological model (WIP). In Simulation Series. ISSN 07359276, 2013-05-03, 45, 4, pp. 48-53., Registrované v: SCOPUS
  [1.2] BRUZZONE, Agostino - MASSEI, Marina - LONGO, Francesco - POGGI, Simonluca - AGRESTA, Matteo - BARTOLUCCI, Christian - NICOLETTI, Letizia. Human behavior simulation for complex scenarios based on intelligent agents. In Simulation Series. ISSN 07359276, 2014-01-01, 46, 2, pp. 71-80., Registrované v: SCOPUS
  [1.2] LEE, Jae Woong - HELAL, Abdelsalam - SUNG, Yunsick - CHO, Kyungeun. A context-driven approach to scalable human activity simulation. In SIGSIM-PADS 2013 Proceedings of the 2013 ACM SIGSIM Principles of Advanced Discrete Simulation, 2013-06-11, pp. 373-378., Registrované v: SCOPUS
  [1.2] LEE, Jae Woong - HELAL, Abdelsalam - SUNG, Yunsick - CHO, Kyungeun. Context activity selection and scheduling in context-driven simulation. In Simulation Series. ISSN 07359276, 2014-01-01, 46, 4, pp. 60-67., Registrované v: SCOPUS
  [3.1] ADAM, C. - TAILLANDIER, P. - DUGDALE, J. - GAUDOU, B. BDI vs FSM agents in social simulations for raising awareness in disasters: A case study in Melbourne bushfires. In International Journal of Information Systems for Crisis Response and Management (IJISCRAM). 2017, vol. 9, no.1, pp. 27-44. doi: 10.4018/IJISCRAM.2017010103.
  [3.1] ADAM, C. - TAILLANDIER, P. - DUGDALE, J. Comparing agent architectures in social simulation: BDI agents versus finite-state machines. In Proceedings of the 50th Hawaii International Conference on System Sciences. ISBN 978-0-9981331-0-2, 2017, pp. 267- 273.
  [3.1] HOZHABROSSADATIA, S.M. Simulating crowd behavior using artificial potential fields: An agent-based simulation approach. In Journal of Systems Thinking in Practice (JSTINP 2022). 2022, vol. 1, no. 1, pp. 50-71. doi: 10.22067/jstinp.2022.76299.1009.
  [3.1] METZ, T. Agent-based modeling (ABM). In Neue Trends in den Sozialwissenschaften. Springer Fachmedien Wiesbaden. ISBN 978-3-658-17188-9, 2017, pp. 11-50.
  [3] KITTAN, S. - KÄSTNER, W. Analyse des Potentials von Multi-Agenten-Simulation und Zellulären Automaten zur Nachbildung der Anlagerungsprozesse von Isolationsmaterial an Rückhaltevorrichtungen. In Proceedings 21. Workshop Computational Intelligence. 2011, pp. 257-268.
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - KVASSAY, Marcel - HLUCHÝ, Ladislav. Email social network extraction and search. In The 2011 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. - Los Alamitos : IEEE Computer Society, 2011, p. 373-376. ISBN 978-0-7695-4513-4. Dostupné na: https://doi.org/10.1109/WI-IAT.2011.30 Typ: ADMB
  Citácie:

  [1.1] ARVIND, Vivek B. - SWAMINATHAN, J. - VISWANATHAN, K. R. AN IMPROVISED FILTERING BASED INTELLIGENT RECOMMENDATION TECHNIQUE FOR WEB PERSONALIZATION. In 2012 ANNUAL IEEE INDIA CONFERENCE (INDICON). ISSN 2325-940X, 2012, vol., no., pp. 1194-1199., Registrované v: WOS
  [1.1] KWONG, Helen - YORKE-SMITH, Neil. Detection of imperative and declarative question-answer pairs in email conversations. In AI COMMUNICATIONS. ISSN 0921-7126, 2012, vol. 25, no. 4, pp. 271-283., Registrované v: WOS
  [1.1] YIN, Meijuan - LIU, Xiaonan - LUO, Junyong - LIU, Yan - TANG, Ziqi. Measuring Social Relations in the Web based on Search Engine and Text Analysis: A Model and Implementation. In JOURNAL OF INTERNET TECHNOLOGY. ISSN 1607-9264, 2018, vol. 19, no. 2, pp. 459-470., Registrované v: WOS
  [1.2] MERTENS, Christian - NÜRNBERGER, Andreas. DMISTA: Conceptual Data Model for Interactions in Support Ticket Administration. In International Conference on Enterprise Information Systems, ICEIS Proceedings, 2022-01-01, 1, pp. 112-119. Dostupné na: https://doi.org/10.5220/0010999100003179, Registrované v: SCOPUS
  [1.2] TSIPENYUK, Gregory - CROWCROFT, Jon. An email attachment is worth a thousand words, or is it? In ACM International Conference Proceeding Series, 2017-10-17, pp., Registrované v: SCOPUS
  [3.1] HRISTOSKI, I. - STOJANOV, J. - STOJANOV, Ž. Design considerations for a generic graph database in archival document management. In 13th International Conference on Applied Internet and Information Technologies (AIIT2023). eISBN 978-608-5003-03-7, 2023, pp. 360-367.
  [3.1] IQBAL, K. - KHAN, M.Y. - WASI, S. - MAHBOOB, S. - AHMED, T. On extraction of event information from social text streams: An unpretentious NLP solution. In International Journal of Computer Science and Network Security (IJCSNS). ISSN 1738-7906, 2019, vol. 19, no. 9, 10 p.
  [3] ABBOTT, M.J. - JALBERT, C.P. - KOEBLER, E.R. Server-side search of email attachments. 2013, United States Patent No 8600970 B2.
• LACLAVÍK, Michal - ŠELENG, Martin - CIGLAN, Marek - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav. gSemSearch: Objavovanie relácií v kolekciách textových a grafových dát. In 6th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2011 proceedings. - Košice : Centre for Information Technologies, FEI TU Košice, 2011, p. 1-5. ISBN 978-80-89284-99-3. Typ: AED
• ŠELENG, Martin - LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav. Dostupné škálovateľné riešenia pre spracovanie veľkého objemu dát a dátové sklady. In DATAKON 2011 : tutorials. - Brno : Brno Univerity of Technology, 2011, p. 1-22. ISBN 978-80-214-4330-3. Typ: AEC
• ŠELENG, Martin - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - HLUCHÝ, Ladislav. Vyhľadávanie v pracovných ponukách s podporou sémantiky. In 6th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2011 proceedings. - Košice : Centre for Information Technologies, FEI TU Košice, 2011, p. 65-70. ISBN 978-80-89284-99-3. Typ: AED
• ŠELENG, Martin - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav. Distributed crawling and semantic search in internet resources. In GCCP 2011 : 7th International Workshop on Grid Computing for Complex Problems. - Bratislava : Institute of Informatics SAS, 2011, p. 283-289. ISBN 978-80-970145-5-1. Typ: AFDA
• DLUGOLINSKÝ, Štefan - ŠELENG, Martin - LACLAVÍK, Michal - HLUCHÝ, Ladislav. Distributed web-scale infrastructure for crawling, indexing and search with semantic support. In Computer Science Journal, 2012, vol. 13, no. 4, p. 5-19. ISSN 1508-2806. Typ: ADMB
  Citácie:

  [1.1] BALDONI, Roberto - D'AMORE, Fabrizio - MECELLA, Massimo - UCCI, Daniele. A Software Architecture for Progressive Scanning of On-line Communities. In 2014 IEEE 34TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOPS (ICDCSW). ISSN 1545-0678, 2014, vol., no., pp. 207-212., Registrované v: WOS
• DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - ŠELENG, Martin - CIGLAN, Marek - TOMAŠEK, Martin - HLUCHÝ, Ladislav. Advanced email search in small enterprises. In 7th Workshop on Intelligent and Knowledge Oriented Technologies. - Bratislava : Nakladateľstvo STU, 2012, p. 23-26. ISBN 978-80-227-3812-5. Typ: AFDA
  Citácie:

  [1.1] LUKAC, Gabriel - SABOL, Tomas - TOMASEK, Martin - FURDIK, Karol. A process-oriented service infrastructure for networked enterprises. In ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS. ISSN 1567-4223, 2017, vol. 21, no., pp. 1-16., Registrované v: WOS
  [3.1] CHATTERJEE, S. - GUPTA, S. Information mining and e-marketing plan on real time data in cottage industries. In International Journal of Engineering and Applied Sciences (IJEAS). ISSN 2394-3661, 2017, vol. 4, no. 10, pp. 104-107.
• HLUCHÝ, Ladislav - KVASSAY, Marcel - DLUGOLINSKÝ, Štefan - SCHNEIDER, Bernhard - BRACKER, Holger - KRYZA, Bartosz - KITOWSKI, Jacek. Towards more realistic human bahaviour simulation: modelling concept, deriving ontology and semantic framework. In Applied computational intelligence in engineering and information technology : revised and selected papers from the 6th IEEE International Symposium on Applied Computational Intelligence and Informatics - SACI 2011. - Heidelberg : Springer, 2012, p. 1-17. ISBN 978-3-642-28304-8. ISSN 2193-9411. Typ: AEC
  Citácie:

  [1.1] LACKO, Peter - ORT, Miroslav - KYZNANSKY, Michal - KOLLAR, Adrian - PAKAN, Filip - OSVAT, Michal - BRANIGOVA, Jana. Riot Simulation in Urban Areas. In 14TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI), 2013, vol., no., pp. 489-492., Registrované v: WOS
• KVASSAY, Marcel - HLUCHÝ, Ladislav - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - TAVČAR, Aleš - GAMS, Matjaž - SCHNEIDER, Bernhard - BRACKER, Holger - KRÓL, Dariusz - WRZESZCZ, Michał - KITOWSKI, Jacek. An integrated approach to mission analysis and mission rehearsal. In Proceedings of the 2012 Winter Simulation Conference. - Berlin : IEEE, 2012, 2 p. ISBN 978-1-4673-4781-5. Typ: AEC
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - ŠELENG, Martin - CIGLAN, Marek - TOMAŠEK, Martin - KVASSAY, Marcel - HLUCHÝ, Ladislav. Lightweight semantic approach for enterprise search and interoperability. In CEUR Workshop Proceedings, 2012, vol. 915, p. 35-42. ISSN 1613-0073. Typ: ADMB
  Citácie:

  [1.1] PARALIC, Jan - BABIC, Frantisek - PARALIC, Marek. Process-driven Approaches to Knowledge Transformation. In ACTA POLYTECHNICA HUNGARICA. ISSN 1785-8860, 2013, vol. 10, no. 5, pp. 125-143., Registrované v: WOS
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - ŠELENG, Martin - CIGLAN, Marek - HLUCHÝ, Ladislav. Emails as graph: relation discovery in email archive. In WWW´12 Companion Proceedings of the 21st International Conference companion on World Wide Web. - New York : ACM, 2012, 841-846. ISBN 978-1-4503-1230-1. Dostupné na: https://doi.org/10.1145/2187980.2188210 Typ: ADMB
  Citácie:

  [1.1] ARCAGNI, Alberto - GRASSI, Rosanna - STEFANI, Silvana - TORRIERO, Anna. Higher order assortativity in complex networks. In EUROPEAN JOURNAL OF OPERATIONAL RESEARCH. ISSN 0377-2217, 2017, vol. 262, no. 2, pp. 708-719., Registrované v: WOS
  [1.1] DECKER, Stephanie - KIRSCH, David A. - VENKATA, Santhilata Kuppili - NIX, Adam. Finding light in dark archives: using AI to connect context and content in email. In AI & SOCIETY. ISSN 0951-5666, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1007/s00146-021-01369-9, Registrované v: WOS
  [1.1] GRAETHER, Wolfgang - MATRANGA, Isabel - SAVARINO, Vincenzo - FURDIK, Karol - TOMASEK, Martin. Improving Collaboration Between Large and Small Enterprises Using Networked Services. In RISKS AND RESILIENCE OF COLLABORATIVE NETWORKS. ISSN 1868-4238, 2015, vol. 463, no., pp. 201-208., Registrované v: WOS
  [1.1] HAILPERN, Joshua - HUBER, Mark - CALVO, Ronald. How Impactful Is Presentation in Email? The Effect of Avatars and Signatures. In ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS. ISSN 2160-6455, 2020, vol. 10, no. 3, pp., Registrované v: WOS
  [1.1] VENKATA, Santhilata Kuppili - DECKER, Stephanie - KIRSCH, David A. - NIX, Adam. EMCODIST: A Context-based Search Tool for Email Archives. In 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, vol., no., pp. 2281-2290. ISSN 2639-1589. Dostupné na: https://doi.org/10.1109/BigData52589.2021.9671832, Registrované v: WOS
  [1.1] XIE, Lili - LIU, Yanhua - CHEN, Guolong. A Forensic Analysis Solution of the Email Network Based on Email Contents. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, vol., no., pp. 1613-1619., Registrované v: WOS
  [1.2] LI, Quan Gang - SHI, Jin Qiao - QIN, Zhi Guang - LIU, Ting Wen. Mining user behavior patterns for event detection in email networks. In Jisuanji Xuebao/Chinese Journal of Computers. ISSN 02544164, 2014-01-01, 37, 5, pp. 1135-1146., Registrované v: SCOPUS
  [1.2] TSIPENYUK, Gregory - CROWCROFT, Jon. An email attachment is worth a thousand words, or is it? In ACM International Conference Proceeding Series, 2017-10-17, pp., Registrované v: SCOPUS
  [3.1] HRISTOSKI, I. - STOJANOV, J. - STOJANOV, Ž. Design considerations for a generic graph database in archival document management. In 13th International Conference on Applied Internet and Information Technologies (AIIT2023). eISBN 978-608-5003-03-7, 2023, pp. 360-367.
  [3.1] LIU, L. - WANG, M. - XIAO, K. - CHEN, H. A method for accelerating relations search over big data scenario. In Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI´22). 2022, no. 29, pp. 1-6. doi: 10.1145/3579654.3579686.
  [3] BLANCO, P.A. - SALINAS, S.O. Generador de Grafos Multi-relacionales a partir de redes sociales. In Ingeniería. 2014, vol. 19, no. 1, pp. 8-18.
  [3] BORDOLOI, S. - KALITA, B. Designing Graph Database Models from existing relational databases. In International Journal of Computer Applications. 2013, vol. 74, no. 1, pp. 25-31.
• DLUGOLINSKÝ, Štefan - KRAMMER, Peter - CIGLAN, Marek - LACLAVÍK, Michal. MSM2013 IE Challenge: Annotowatch. In CEUR Workshop Proceedings, 2013, vol. 1019, p. 21-26. (2013 - SCOPUS). ISSN 1613-0073. Dostupné na internete: http://ceur-ws.org/Vol-1019 Typ: ADMB
  Citácie:

  [1.1] GRAETHER, Wolfgang - MATRANGA, Isabel - SAVARINO, Vincenzo - FURDIK, Karol - TOMASEK, Martin. Improving Collaboration Between Large and Small Enterprises Using Networked Services. In RISKS AND RESILIENCE OF COLLABORATIVE NETWORKS. ISSN 1868-4238, 2015, vol. 463, no., pp. 201-208., Registrované v: WOS
  [1.1] RIZZO, Giuseppe - PEREIRA, Bianca - VARGA, Andrea - VAN ERP, Marieke - BASAVE, Amparo Elizabeth Cano. Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series. In SEMANTIC WEB. ISSN 1570-0844, 2017, vol. 8, no. 5, pp. 667-700., Registrované v: WOS
  [1.2] BANDYOPADHYAY, Ayan - ROY, Dwaipayan - MITRA, Mandar - SAHA, Sanjoy Kumar. Named entity recognition from tweets. In CEUR Workshop Proceedings. ISSN 16130073, 2014-01-01, 1226, pp. 218-225., Registrované v: SCOPUS
  [2.1] HLUCHY, Ladislav - GIANG NGUYEN - ASTALOS, Jan - VIET TRAN - SIPKOVA, Viera - BINH MINH NGUYEN. EFFECTIVE COMPUTATION RESILIENCE IN HIGH PERFORMANCE AND DISTRIBUTED ENVIRONMENTS. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2016, vol. 35, no. 6, pp. 1386-1415., Registrované v: WOS
• DLUGOLINSKÝ, Štefan - CIGLAN, Marek - LACLAVÍK, Michal. Evaluation of named entity recognition tools on microposts. In INES 2013 : 17th IEEE International Conference on Intelligent Engineering Systems 2013. - Budapest : IEEE Industrial Electronic Society, 2013, p. 197-202. ISBN 978-1-4799-0830-1. Dostupné na: https://doi.org/10.1109/INES.2013.6632810 Typ: ADMB
  Citácie:

  [1.1] WATANABE, Kohei. NEWSMAP A semi-supervised approach to geographical news classification. In DIGITAL JOURNALISM. ISSN 2167-0811, 2018, vol. 6, no. 3, pp. 294-309., Registrované v: WOS
  [1.2] BARATHI GANESH, H. B. - ABINAYA, N. - ANAND KUMAR, M. - VINAYAKUMAR, R. - SOMAN, K. P. AMRITA CEN@NEEL : Identification and linking of twitter entities. In CEUR Workshop Proceedings. ISSN 16130073, 2015-01-01, 1395, pp. 64-65., Registrované v: SCOPUS
  [1.2] CHABCHOUB, Mohamed - GAGNON, Michel - ZOUAQ, Amal. Collective disambiguation and semantic annotation for entity linking and typing. In Communications in Computer and Information Science. ISSN 18650929, 2016-01-01, 641, pp. 33-47., Registrované v: SCOPUS
  [1.2] COSTA, Carlos M. - VEIGA, Germano - SOUSA, Armando - NUNES, Sergio. Evaluation of Stanford NER for extraction of assembly information from instruction manuals. In 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2017, 2017-06-29, pp. 302-309., Registrované v: SCOPUS
  [1.2] ESPINASSE, Bernard - LIMA, Rinaldo - FREITAS, Fred. Automatic extraction of entities and relations by ontology and inductive logic programming. In Revue d'Intelligence Artificielle. ISSN 0992499X, 2016-01-01, 30, 6, pp. 637-674., Registrované v: SCOPUS
  [1.2] SHELAR, Hemlata - KAUR, Gagandeep - HEDA, Neha - AGRAWAL, Poorva. Named Entity Recognition Approaches and Their Comparison for Custom NER Model. In Science and Technology Libraries. ISSN 0194262X, 2020-01-01, pp., Registrované v: SCOPUS
  [3.1] CHABCHOUB, M. - GAGNON, M. - ZOUAQ, A. FICLONE: Improving DBpedia spotlight using named entity recognition and collective disambiguation. In Open Journal of Semantic Web (OJSW). ISSN 2199-336X, 2018, vol. 5, no. 1, pp. 12-28.
  [3.1] VISHNYAKOVA, D. - RODRIGUEZ-ESTEBAN, R. - OZOL, K. - RINALDI, F. Author name disambiguation in MEDLINE based on journal descriptors and semantic types. In Fifth Workshop on Building and Evaluating Resources for Biomedical Text Mining (BioTxtM 2016). ISBN 978-4-87974-719-8, 2016, pp. 134-142.
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - BLANÁRIK, M. Experimenting with Slovak Wikipedia as a source for language technologies. In Natural language processing, corpus linguistics, E-learning : proceedings. Eds. Gajdošová, K., Žáková, A. - Lüdenscheid : RAM-Verlag, 2013, p. 160-165. ISBN 978-3-942303-18-7. Typ: AFDA
• NGUYEN, Giang - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - ŠELENG, Martin. Token gazetteer and character gazetteer for named entity recognition. In 8th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2013 proceedings. Eds. Babič, F., Paralič, J. - Košice : Centre for Information Technologies, Technical University in Košice, 2013, p. 1-6. ISBN 978-80-8143-128-9. Typ: AED
• DLUGOLINSKÝ, Štefan - NGUYEN, Giang - LACLAVÍK, Michal - ŠELENG, Martin. Character gazetteer for named entity recognition with linear matching complexity. In Proceedings of the 2013 World Congress on Information and Communication Technologies : WICT 2013. - IEEE Systems Man and Cybernetics Society, Spain Chapter, 2013, p. 364-368. ISBN 978-1-4799-3230-6. Dostupné na: https://doi.org/10.1109/WICT.2013.7113096 Typ: ADMB
  Citácie:

  [1.1] KADIR, Rabiah A. - YAURI, Rufai Aliyu - AZMAN, Azreen. SEMANTIC AMBIGUOUS QUERY FORMULATION USING STATISTICAL LINGUISTICS TECHNIQUE. In MALAYSIAN JOURNAL OF COMPUTER SCIENCE. ISSN 0127-9084, 2018, vol. 31, no. 5, pp. 48-56., Registrované v: WOS
  [1.2] JILEK, Christian - SCHRÖDER, Markus - NOVIK, Rudolf - SCHWARZ, Sven - MAUS, Heiko - DENGEL, Andreas. Inflection-tolerant ontology-based named entity recognition for real-time applications. In OpenAccess Series in Informatics. ISSN 21906807, 2019-05-01, 70, pp., Registrované v: SCOPUS
• DLUGOLINSKÝ, Štefan - KRAMMER, Peter - CIGLAN, Marek - LACLAVÍK, Michal - HLUCHÝ, Ladislav. Combining named entity recognition methods for concept extraction in microposts. In CEUR Workshop Proceedings : #Microposts2014: Making sense of microposts: big thing come in small packages, 2014, vol. 1141, p. 34-41. (2013: 0.193 - SJR). ISSN 1613-0073. Typ: ADMB
  Citácie:

  [1.1] PALLAS, Frank - STAUFER, Dimitri - KUHLENKAMP, Jorn. Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments. In 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2020, vol., no., pp. 341-350. ISSN 2639-1589. Dostupné na: https://doi.org/10.1109/BigData50022.2020.9378188, Registrované v: WOS
  [1.2] FARZINDAR, Atefeh - INKPEN, Diana. Natural Language Processing for Social Media. In Synthesis Lectures on Human Language Technologies, 2015-01-01, 8, 2, pp. 1-168., Registrované v: SCOPUS
  [1.2] JOĂO, Renato Stoffalette - FAFALIOS, Pavlos - DIETZE, Stefan. Better together: An ensemble learner for combining the results of ready-made entity linking systems. In Proceedings of the ACM Symposium on Applied Computing, 2020-03-30, pp. 851-858., Registrované v: SCOPUS
  [1.2] TAO, Ke - HAUFF, Claudia - HOUBEN, Geert Jan - ABEL, Fabian - WACHSMUTH, Guido. Facilitating Twitter data analytics: Platform, language and functionality. In Proceedings 2014 IEEE International Conference on Big Data, IEEE Big Data 2014, 2015-01-07, pp. 421-430., Registrované v: SCOPUS
  [1.2] VASAVI, S. - PRABHAKAR BENNY, S. Hadoop framework for entity recognition within high velocity streams using deep learning. In Advances in Intelligent Systems and Computing. ISSN 21945357, 2018-01-01, 542, pp. 247-257., Registrované v: SCOPUS
• LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - CIGLAN, Marek. Discovering relations by entity search in lightweight semantic text graphs. In Computing and informatics, 2014, vol. 33, no. 4, pp. 877-906. (2013: 0.319 - IF, Q4 - JCR, 0.277 - SJR, Q3 - SJR, karentované - CCC). (2014 - Current Contents). ISSN 1335-9150. Typ: ADDA
  Citácie:

  [1.2] LOCH, Lukas - NAVRAT, Pavol - KOVAROVA, Alena. Answering questions based on gradually learned knowledge from the web using lightweight semantics. In ACM International Conference Proceeding Series, 2015-06-25, 1008, pp. 192-198., Registrované v: SCOPUS
  [3.1] DARADMARE, U. - BHAKRE, S. Extraction of entities from web with knowledge mining. In International Journal of Engineering Development and Research (IJEDR). ISSN 2321-9939, 2016, vol. 4, no. 3, pp. 972-980.
  [3.1] DARADMARE, U. - UGALE, B. Extract entities with iknoweb framework. In International Journal of Science and Research (IJSR). ISSN 2319-7064, 2016, vol. 5, no. 4, pp. 1506-1508.
  [3.1] FANTOZZI, P. - LAURA, L. - NANNI, U. Weighted-distance sliding windows and cooccurrence graphs for supporting entity-relationship discovery in unstructured text. In International Journal of Cognitive and Language Sciences. 2018, vol. 12, no. 8, pp. 663-669. doi: 10.5281/zenodo.1474421.
• LACLAVÍK, Michal - CIGLAN, Marek - DORMAN, Alex - DLUGOLINSKÝ, Štefan - STEINGOLD, Sam - ŠELENG, Martin. A search based approach to entity recognition: Magnetic and IISAS team at ERD challenge. In Proceedings of the first international workshop on entity recognition & disambiguation : ERD '14. - New York : ACM, 2014, p. 63-68. ISBN 978-1-45033023-7. Dostupné na: https://doi.org/10.1145/2633211.2634352 (The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval : SIGIR 2014) Typ: ADMB
  Citácie:

  [1.1] DOMKE, Eric M. - LEIDIG, Jonathan P. - SCHYMIK, Gregory - WOLFFE, Greg. Query Expansion in Enterprise Search. In PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING (DOCENG 2018), 2018, vol., no., pp., Registrované v: WOS
  [1.1] HLADEK, Daniel - STAS, Jan - PLEVA, Matus - ONDAS, Stanislav - KOVACS, Laszlo. Survey of the Word Sense Disambiguation and Challenges for the Slovak Language. In 2016 17TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI 2016). ISSN 2380-8586, 2016, vol., no., pp. 225-229., Registrované v: WOS
  [3.1] TAN, C. - WEI, F. - REN, P. - LV, W. - ZHOU, M. Entity linking for queries by searching wikipedia sentences. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing. 2017, pp. 68-77. https://aclanthology.org/D17-1007.pdf.
  [3] CARMEL, D. - CHANG, M.W. - GABRILOVICH, E. - HSU, B.J.P. - WANG, K. ERD'14: Entity recognition and disambiguation challenge. In ACM SIGIR Forum. 2014, vol. 48, no. 2, pp. 63-77.
• LACLAVÍK, Michal - CIGLAN, Marek - DLUGOLINSKÝ, Štefan - STEINGOLD, Sam - DORMAN, Alex. Towards understanding multilingual search query intent. In WIKT 2014 : 9th Workshop on Intelligent and Knowledge Oriented Technologies. Eds. Hluchý, L., Bieliková, M., Paralič, J. - Bratislava : Nakladateľstvo STU, 2014, p. 18-21. ISBN 978-80-227-4267-2. Typ: AED
• NGUYEN, Giang - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - ŠELENG, Martin - TRAN, Viet. Next improvement towards linear named entity recognition using character gazetteers. In Advances in Intelligent Systems and Computing : Advanced Computational Methods for Knowledge Engineering, 2014, vol. 282, p. 255-265. ISBN 978-3-319-06568-7. ISSN 2194-5357. Dostupné na: https://doi.org/10.1007/978-3-319-06569-4_19 Typ: ADMB
  Citácie:

  [1.2] JILEK, Christian - SCHRÖDER, Markus - NOVIK, Rudolf - SCHWARZ, Sven - MAUS, Heiko - DENGEL, Andreas. Inflection-tolerant ontology-based named entity recognition for real-time applications. In OpenAccess Series in Informatics. ISSN 21906807, 2019-05-01, 70, pp., Registrované v: SCOPUS
• NGUYEN, Giang - DLUGOLINSKÝ, Štefan - LACLAVÍK, Michal - HLUCHÝ, Ladislav. Recognizing significant entities in streaming inputs. In KC-INTELINSYS konferencia. - Bratislava : Kompetenčné centrum inteligentných technológií pre elektronizáciu a informatizáciu systémov a služieb, 2014. Typ: AFDB
• ŠELENG, Martin - LACLAVÍK, Michal - DLUGOLINSKÝ, Štefan - CIGLAN, Marek - TOMAŠEK, Martin - HLUCHÝ, Ladislav. Approach for enterprise search and interoperability using lightweight semantic. In IEEE 18th International Conference on Intelligent Engineering Systems : INES 2014. - Budapest : IEEE, 2014, p. 15-20. ISBN 978-1-4799-4616-7. Dostupné na: https://doi.org/10.1109/INES.2014.6909373 Typ: ADMB
  Citácie:

  [1.1] ALHABASHNEH, Obada - IQBAL, Rahat - DOCTOR, Faiyaz - JAMES, Anne. Fuzzy rule based profiling approach for enterprise information seeking and retrieval. In INFORMATION SCIENCES. ISSN 0020-0255, 2017, vol. 394, no., pp. 18-37., Registrované v: WOS
  [1.1] GRAETHER, Wolfgang - MATRANGA, Isabel - SAVARINO, Vincenzo - FURDIK, Karol - TOMASEK, Martin. Improving Collaboration Between Large and Small Enterprises Using Networked Services. In RISKS AND RESILIENCE OF COLLABORATIVE NETWORKS. ISSN 1868-4238, 2015, vol. 463, no., pp. 201-208., Registrované v: WOS
• KVASSAY, Marcel - HLUCHÝ, Ladislav - DLUGOLINSKÝ, Štefan - SCHNEIDER, Bernhard - BRACKER, Holger - TAVČAR, Aleš - GAMS, Matjaž - CONTAT, Marc - DUTKA, Łukasz - KRÓL, Dariusz - WRZESZCZ, Michał - KITOWSKI, Jacek. A novel way of using simulations to support urban security operations. In Computing and informatics, 2015, vol. 34, no. 6, p. 1201-1233. (2014: 0.504 - IF, Q4 - JCR, 0.259 - SJR, Q3 - SJR, karentované - CCC). (2015 - Current Contents). ISSN 1335-9150. Typ: ADDA
  Citácie:

  [1.2] KUMAR, Rahul - BUDINSKA, Ivana - BALOGH, Zoltan - GATIAL, Emil - MATEJKA, Tomas. Discrete event simulation approach for evaluation and estimation of various production parameters. In 20th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2020 Proceedings, 2020-11-05, pp. 91-98., Registrované v: SCOPUS
• LACLAVÍK, Michal - CIGLAN, Marek - STEINGOLD, Sam - ŠELENG, Martin - DORMAN, Alex - DLUGOLINSKÝ, Štefan. Search query categorization at scale. In Proceedings of the 24th International Conference on World Wide Web : WWW '15 Companion. - New York : ACM, 2015, p. 1281-1286. ISBN 978-1-4503-3473-0. Dostupné na: https://doi.org/10.1145/2740908.2741995 (International World Wide Web Conference : WWW '15) Typ: ADMB
  Citácie:

  [1.1] KAUR, Manpreet - SALIM, Flora D. - REN, Yongli - CHAN, Jeffrey - TOMKO, Martin - SANDERSON, Mark. Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors. In ACM TRANSACTIONS ON SENSOR NETWORKS. ISSN 1550-4859, 2020, vol. 16, no. 3, pp., Registrované v: WOS
  [1.1] KAUR, Manpreet - SALIM, Flora D. - REN, Yongli - CHAN, Jeffrey - TOMKO, Martin - SANDERSON, Mark. Shopping Intent Recognition and Location Prediction from Cyber-Physical Activities via Wi-Fi Logs. In BUILDSYS'18: PROCEEDINGS OF THE 5TH CONFERENCE ON SYSTEMS FOR BUILT ENVIRONMENTS, 2018, vol., no., pp. 130-139., Registrované v: WOS
  [1.1] SHALABY, Walid - AL JADDA, Khalifeh - KORAYEM, Mohammed - GRAINGER, Trey. Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding. In PROCEEDINGS 2016 IEEE 40TH ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE WORKSHOPS, VOL 1. ISSN 0730-3157, 2016, vol., no., pp. 631-636., Registrované v: WOS
  [1.1] SINGH, Sherry - MADHWAL, Shailja - DATTA, Goutam - SINGH, Latika. Modelling Search Habits on E-commerce Websites using Supervised Learning. In PROCEEDINGS OF THE 2018 IEEE 8TH INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC 2018). ISSN 2164-8263, 2018, vol., no., pp. 53-58., Registrované v: WOS
  [1.1] ZHANG, Xiaoyan - MENG, Xiangfu - TANG, Yanhuan - BI, Chongchun. Adaptive Query Relaxation and Result Categorization Based on Data Distribution and Query Context. In JOURNAL OF INFORMATION SCIENCE AND ENGINEERING. ISSN 1016-2364, 2017, vol. 33, no. 5, pp. 1375-1396., Registrované v: WOS
  [3.1] HOSSAIN, G. - HAARBAUER, J. - ABDO, J. - KING, B. Causal analysis of user search query intent. In Journal of Computer and Communications. ISSN 2327-5219, 2016, vol. 4, no. 14, pp. 108-131.
• ŠELENG, Martin - DLUGOLINSKÝ, Štefan - TOMAŠEK, Martin - FURDÍK, Karol - HLUCHÝ, Ladislav. Lightweight semantic approach for enterprise interoperability issues. In INES 2015 : 19th IEEE International Conference on Intelligent Engineering Systems. - Bratislava : Slovak University of Technology in Bratislava, 2015, p. 395-400. ISBN 978-1-4673-7938-0. Dostupné na: https://doi.org/10.1109/INES.2015.7329741 Typ: ADNB
• DLUGOLINSKÝ, Štefan - NGUYEN, Giang - HLUCHÝ, Ladislav. Detekcia nebezpečných aktivít v záznamoch udalostí mobilných zariadení. In WIKT-DaZ 2016 : Workshop on Intelligent Knowledge Technologies and Data a Znalosti. - Smolenice, 2016, p. 69-74. ISBN 978-80-227-4619-9. (Workshop on Intelligent Knowledge Technologies and Data a Znalosti : WIKT-DaZ 2016) Typ: AFD
• DLUGOLINSKÝ, Štefan - ŠELENG, Martin - HLUCHÝ, Ladislav. Content-based filtering recommendation using text categorization and temporal decay. In CGW Workshop '16 : Proceedings. - Kraków, Poland : Cyfronet AGH, 2016, p. 25-26. ISBN 978-83-61433-20-0. Typ: AFG
• ŠELENG, Martin - DLUGOLINSKÝ, Štefan - GRÄTHER, Wolfgang - MATRANGA, Isabel - SAVARINO, Vincenzo - TOMAŠEK, Martin - FURDÍK, Karol - HLUCHÝ, Ladislav. Improving collaboration between large and small enterprises using semantic search and recommendation. In CGW Workshop '16 : Proceedings. - Kraków, Poland : Cyfronet AGH, 2016, p. 31-32. ISBN 978-83-61433-20-0. Typ: AFG
• DLUGOLINSKÝ, Štefan. Combining named entity recognition methods for concept extraction. In Information sciences and technologies : bulletin of the ACM Slovakia, 2016, vol. 8, no. 2, p. 26-36. ISSN 1338-1237. Dostupné na internete: http://acmbulletin.fiit.stuba.sk/vol8num2/dlugolinsky2016.pdf Typ: ADFB
  Citácie:

  [1.1] PALLAS, Frank - STAUFER, Dimitri - KUHLENKAMP, Jorn. Evaluating the Accuracy of Cloud NLP Services Using Ground-Truth Experiments. In 2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA). ISSN 2639-1589, 2020, vol., no., pp. 341-350. Dostupné na: https://doi.org/10.1109/BigData50022.2020.9378188, Registrované v: WOS
• DLUGOLINSKÝ, Štefan. Combining named entity recognition methods for concept extraction : dizertačná práca (PhD.). Bratislava : Ústav informatiky SAV, 2016. 108 s. Typ: DAI
• DLUGOLINSKÝ, Štefan - NGUYEN, Giang - ŠELENG, Martin - HLUCHÝ, Ladislav. Decision influence and proactive sale support in a chain of convenience stores. In INES 2017 - IEEE 21st international conference on intelligent engineering systems. - Larnaka, Cyprus : IEEE, 2017, 2017, vol. 2017-January, p. 277-284. ISBN 978-1-4799-7677-5. ISSN 1562-5850. Dostupné na: https://doi.org/10.1109/INES.2017.8118570 (INES 2017 : 21st international conference on intelligent engineering systems) Typ: ADMB
  Citácie:

  [1.1] COLOMBO-MENDOZA, L.O. - PAREDES-VALVERDE, M.A. - SALAS-ZáRATE, M.D. - BUSTOS-LóPEZ, M. - SáNCHEZ-CERVANTES, J.L. - ALOR-HERNáNDEZ, G. Recommender Systems in the Offline Retailing Domain: A Systematic Literature Review. In TECHNIQUES, TOOLS AND METHODOLOGIES APPLIED TO GLOBAL SUPPLY CHAIN ECOSYSTEMS. ISSN 1868-4394, 2020, vol. 166, p. 383-409. Dostupné na: https://doi.org/10.1007/978-3-030-26488-8_17, Registrované v: WOS
  [1.2] SHIN, Jongkyung - LEE, Changhun - LIM, Chiehyeon - SHIN, Yunmo - LIM, Junseok. Recommendation in Offline Stores: A Gamification Approach for Learning the Spatiotemporal Representation of Indoor Shopping. In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2022-08-14, pp. 3878-3888. Dostupné na: https://doi.org/10.1145/3534678.3539199, Registrované v: SCOPUS
• HLUCHÝ, Ladislav - BOBÁK, Martin - DLUGOLINSKÝ, Štefan - HABALA, Ondrej - NGUYEN, Giang - ŠELENG, Martin - TRAN, Viet - PANCAKE-STEEG, Jörg - SPAHR, Stefan - VOR DEM GENTSCHEN FELDE, Nils Otto - HEIKKURINEN, Matti - HÖB, Maximilian - SCHMIDT, Jan - GRAZIANI, Mara - MÜLLER, Henning - MAASSEN, Jason - SPREEUW, Hanno - BELLOUM, Adam S.Z. - CUSHING, Reginald - RAHMANIAN, A. - BUBAK, Marian - MEIZNER, Jan - NOWAKOWSKI, Piotr - RYCERZ, Katarzyna - WILK, Bartosz. Initial state of the art and requirement analysis, initial PROCESS architecture : Deliverable D4.1. 2018. 163 p. Dostupné na internete: http://www.process-project.eu/wp-content/uploads/2020/02/PUBLIC_PROCESS_D4.1_Initial_-state_of_the_art_and_requirement_analysis_initial_PROCESS_architecture_v1-1.pdf Typ: GHG
• ALIC, Andy S. - ANTONACCI, Marica - CABALLER, Miguel - CAMPOS, Isabel - COSTANTINI, Alessandro - DAVID, Mario - DLUGOLINSKÝ, Štefan - DONVITO, Giacinto - DUMA, Cristina - GOMES, Jorge - HARDT, Marcus - HEREDIA, Ignacio - HLUCHÝ, Ladislav - ITO, Keiichi - KOZLOV, Valentin - LLORET, Lara - LÓPEZ GARCÍA, Álvaro - MARCO DE LUCAS, Jesús - MATYSKA, Ludek - MOLTÓ, Germán - NGUYEN, Giang - ORVIZ, Pablo - PLOCIENNIK, Marcin - ŠUSTR, Zdeněk - TRAN, Viet - WOLNIEWICZ, Pawel - ZU CASTELL, Wolfgang. DEEP: hybrid approach for deep learning. In ISC High Performance. - Frankfurt, Germany, 2019, poster na konferencii. Typ: GII
• NGUYEN, Giang** - DLUGOLINSKÝ, Štefan - BOBÁK, Martin - TRAN, Viet - LÓPEZ GARCÍA, Álvaro - HEREDIA, Ignacio - MALÍK, Peter - HLUCHÝ, Ladislav. Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey. In Artificial Intelligence Review, 2019, vol. 52, no. 1, p. 77-124. (2018: 5.095 - IF, Q1 - JCR, 1.055 - SJR, Q1 - SJR, karentované - CCC). (2019 - Current Contents). ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-018-09679-z Typ: ADCA
  Citácie:

  [1.1] ABDELHAMID, Abdelaziz A. - ALOTAIBI, Sultan R. Deep Investigation of Machine Learning Techniques for Optimizing the Parameters of Microstrip Antennas. In INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES, 2021, vol. 12, no. 13, pp. ISSN 2228-9860. Dostupné na: https://doi.org/10.14456/ITJEMAST.2021.266, Registrované v: WOS
  [1.1] AHMADI, Kourosh Dadashtabar - RASHIDI, Ali Jabar - MOGHRI, Ali Massomi. Design and simulation of autonomous military vehicle control system based on machine vision and ensemble movement approach. In JOURNAL OF SUPERCOMPUTING, 2022, vol. 78, no. 15, pp. 17309-17347. ISSN 0920-8542. Dostupné na: https://doi.org/10.1007/s11227-022-04565-6, Registrované v: WOS
  [1.1] AHMED, U. - LIN, J.C.W. - FOURNIER-VIGER, P. Federated deep active learning for attention-based transaction classification. In APPLIED INTELLIGENCE. ISSN 0924-669X, APR 2023, vol. 53, no. 8, SI, p. 8631-8643. Dostupné na: https://doi.org/10.1007/s10489-022-04388-1, Registrované v: WOS
  [1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. In ACM TRANSACTIONS ON SENSOR NETWORKS. ISSN 1550-4859, AUG 2023, vol. 19, no. 3. Dostupné na: https://doi.org/10.1145/3519304, Registrované v: WOS
  [1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Fuzzy Contrast Set Based Deep Attention Network for Lexical Analysis and Mental Health Treatment. In ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING. ISSN 2375-4699, SEP 2022, vol. 21, no. 5. Dostupné na: https://doi.org/10.1145/3506701, Registrované v: WOS
  [1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G. Multi-Aspect Deep Active Attention Network for Healthcare Explainable Adoption. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, APR 2023, vol. 27, no. 4, p. 1709-1717. Dostupné na: https://doi.org/10.1109/JBHI.2022.3204633, Registrované v: WOS
  [1.1] AHMED, U. - LIN, J.C.W. - SRIVASTAVA, G.S. Hyper-Graph Attention Based Federated Learning Methods for Use in Mental Health Detection. In IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. ISSN 2168-2194, FEB 2023, vol. 27, no. 2, p. 768-777. Dostupné na: https://doi.org/10.1109/JBHI.2022.3172269, Registrované v: WOS
  [1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Deep-Attention Model to Analyze Reliable Customers via Federated Learning. In 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN). ISSN 2161-4393, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1109/IJCNN52387.2021.9533486, Registrované v: WOS
  [1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Hyper-graph-based attention curriculum learning using a lexical algorithm for mental health. In PATTERN RECOGNITION LETTERS, 2022, vol. 157, no., pp. 135-143. ISSN 0167-8655. Dostupné na: https://doi.org/10.1016/j.patrec.2022.03.018, Registrované v: WOS
  [1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Multi-aspect deep active attention network for healthcare explainable adoption. In IEEE Journal of Biomedical and Health Informatics. ISSN 2168-2194, 2022, vol. 27, no. 4, pp. 1709-1717. Dostupné na: https://doi.org/10.1109/JBHI.2022.3204633, Registrované v: WOS
  [1.1] AHMED, Usman - LIN, Jerry Chun-Wei - SRIVASTAVA, Gautam. Social Media Multiaspect Detection by Using Unsupervised Deep Active Attention. In IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, vol., no., pp. ISSN 2329-924X. Dostupné na: https://doi.org/10.1109/TCSS.2022.3183283, Registrované v: WOS
  [1.1] AHMED, Usman - MUKHIYA, Suresh Kumar - SRIVASTAVA, Gautam - LAMO, Yngve - LIN, Jerry Chun-Wei. Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, 2021, vol. 12, no., pp., Registrované v: WOS
  [1.1] AHMED, Usman - SRIVASTAVA, Gautam - LIN, Jerry Chun-Wei. A Federated Learning Approach to Frequent Itemset Mining in Cyber-Physical Systems. In JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT. ISSN 1064-7570, 2021, vol. 29, no. 4, pp., Registrované v: WOS
  [1.1] AHMED, Usman - SRIVASTAVA, Gautam - LIN, Jerry Chun-Wei. Reliable customer analysis using federated learning and exploring deep-attention edge intelligence. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. ISSN 0167-739X, 2022, vol. 127, no., pp. 70-79. Dostupné na: https://doi.org/10.1016/j.future.2021.08.028
  [1.1] AHMED, Usman - SRIVASTAVA, Gautam - YUN, Unil - LIN, Jerry Chun-Wei. EANDC: An explainable attention network based deep adaptive clustering model for mental health treatment. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2022, vol. 130, no., pp. 106-113. ISSN 0167-739X. Dostupné na: https://doi.org/10.1016/j.future.2021.12.008, Registrované v: WOS
  [1.1] AKHMETSHIN, Elvir Munirovich - VASILEV, Vladimir Lvovich - KOZACHEK, Artemiy Vladimirovich - MESHKOVA, Galina Vladimirovna - ALEXANDROVA, Tatyana Nikolaevna. Analysis of Peculiarities of Using Digital Technologies in the University Professional Training Content. In INTERNATIONAL JOURNAL OF EMERGING TECHNOLOGIES IN LEARNING, 2021, vol. 16, no. 20, pp. 101-118. Dostupné na: https://doi.org/10.3991/ijet.v16i20.24245, Registrované v: WOS
  [1.1] ALHARBI, A. - PETRUNIN, I. - PANAGIOTAKOPOULOS, D. Deep Learning Architecture for UAV Traffic-Density Prediction. In DRONES. FEB 2023, vol. 7, no. 2. Dostupné na: https://doi.org/10.3390/drones7020078, Registrované v: WOS
  [1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - ASSUNCAO, Eduardo - ALIREZAZADEH, Saeid - LIMA, Tania M. - SOARES, Vasco N. G. J. - CALDEIRA, Joao M. L. P. Comparison of On-Policy Deep Reinforcement Learning A2C with Off-Policy DQN in Irrigation Optimization: A Case Study at a Site in Portugal. In COMPUTERS, 2022, vol. 11, no. 7, pp. ISSN 2073-431X. Dostupné na: https://doi.org/10.3390/computers11070104, Registrované v: WOS
  [1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - ASSUNCAO, Eduardo - ALIREZAZADEH, Saeid - LIMA, Tania M. Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal. In AGRICULTURAL WATER MANAGEMENT, 2022, vol. 263, no., pp. ISSN 0378-3774. Dostupné na: https://doi.org/10.1016/j.agwat.2022.107480, Registrované v: WOS
  [1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - LIMA, Tania M. - CAMPOS, Rebeca M. - GIRAO, Ines - MONTEIRO, Jorge - LOPES, Carlos M. A Review of the Challenges of Using Deep Learning Algorithms to Support Decision-Making in Agricultural Activities. In REMOTE SENSING, 2022, vol. 14, no. 3, pp. Dostupné na: https://doi.org/10.3390/rs14030638, Registrované v: WOS
  [1.1] ALIBABAEI, Khadijeh - GASPAR, Pedro D. - LIMA, Tania M. Crop Yield Estimation Using Deep Learning Based on Climate Big Data and Irrigation Scheduling. In ENERGIES, 2021, vol. 14, no. 11, pp., Registrované v: WOS
  [1.1] ALIZAMIR, Meysam - KIM, Sungwon - ZOUNEMAT-KERMANI, Mohammad - HEDDAM, Salim - SHAHRABADI, Amin Hasanalipour - GHARABAGHI, Bahram. Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
  [1.1] ALMUTAIRI, M.S. - ALMUTAIRI, K. - CHIROMA, H. Hybrid of deep recurrent network and long short term memory for rear-end collision detection in fog based internet of vehicles. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, MAR 1 2023, vol. 213, C. Dostupné na: https://doi.org/10.1016/j.eswa.2022.119033, Registrované v: WOS
  [1.1] ALODAT, Mohammad. Using Deep Learning Model for Adapting and Managing COVID-19 Pandemic Crisis. In 12TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 4TH INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPS. ISSN 1877-0509, 2021, vol. 184, no., pp. 558-564., Registrované v: WOS
  [1.1] ALSHEHRI, Abdulelah S. - YOU, Fengqi. Deep learning to catalyze inverse molecular design. In CHEMICAL ENGINEERING JOURNAL, 2022, vol. 444, no., pp. ISSN 1385-8947. Dostupné na: https://doi.org/10.1016/j.cej.2022.136669, Registrované v: WOS
  [1.1] ALSTETE, Jeffrey W. - MEYER, John P. Intelligent agent-assisted organizational memory in knowledge management systems. In VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS. ISSN 2059-5891, 2020, vol., no., pp., Registrované v: WOS
  [1.1] ALVES, Tiago A. O. - FRANCA, Felipe M. G. - KUNDU, Sandip. MLPrivacyGuard: Defeating Confidence Information based Model Inversion Attacks on Machine Learning Systems. In GLSVLSI '19 PROCEEDINGS OF THE 2019 ON GREAT LAKES SYMPOSIUM ON VLSI. ISSN 1066-1395, 2019, vol., no., pp. 411-415., Registrované v: WOS
  [1.1] AMIN, Javaria - SHARIF, Muhammad - GUL, Nadia - KADRY, Seifedine - CHAKRABORTY, Chinmay. Quantum Machine Learning Architecture for COVID-19 Classification Based on Synthetic Data Generation Using Conditional Adversarial Neural Network. In COGNITIVE COMPUTATION. ISSN 1866-9956, 2021, vol., no., pp., Registrované v: WOS
  [1.1] AMINUDDIN, Zaim Zakwan - HAMZAH, Irni Hamiza - ABD SAMAT, Ahmad Asri - IDRIS, Mohaiyedin - ABD RAHIM, Alhan Farhanah - CHE SOH, Zainal Hisham. An FPGA application of home security code using verilog. In International Journal of Reconfigurable and Embedded Systems, 2022-11-01, 11, 3, pp. 205-214. ISSN 20894864. Dostupné na: https://doi.org/10.11591/ijres.v11.i3.pp205-214, Registrované v: WOS
  [1.1] ARGESANU, A.L. - ANDREESCU, G.D. FROM DATA TO DECISIONS: THE IMPORTANCE OF MONITORING ML SYSTEMS IN INDUSTRIAL SETTINGS. In ACTA TECHNICA NAPOCENSIS SERIES-APPLIED MATHEMATICS MECHANICS AND ENGINEERING. ISSN 1221-5872, SEP 2023, vol. 66, no. 3, p. 381-388., Registrované v: WOS
  [1.1] ATTRI, I. - AWASTHI, L.K. - SHARMA, T.P. - RATHEE, P. A review of deep learning techniques used in agriculture. In ECOLOGICAL INFORMATICS. ISSN 1574-9541, NOV 2023, vol. 77. Dostupné na: https://doi.org/10.1016/j.ecoinf.2023.102217, Registrované v: WOS
  [1.1] AWASTHI, P. - MISHRA, S. - GUPTA, N. Performance Assessment of Machine Learning Techniques for Corn Yield Prediction. In ADVANCED NETWORK TECHNOLOGIES AND INTELLIGENT COMPUTING, ANTIC 2022, PT II. ISSN 1865-0929, 2023, vol. 1798, p. 320-335. Dostupné na: https://doi.org/10.1007/978-3-031-28183-9_23, Registrované v: WOS
  [1.1] AZNAN, A. - VIEJO, C.G. - PANG, A. - FUENTES, S. Review of technology advances to assess rice quality traits and consumer perception. In FOOD RESEARCH INTERNATIONAL. ISSN 0963-9969, OCT 2023, vol. 172. Dostupné na: https://doi.org/10.1016/j.foodres.2023.113105, Registrované v: WOS
  [1.1] BAI, Chengchao - YAN, Peng - YU, Xiaoqiang - GUO, Jifeng. Learning-based resilience guarantee for multi-UAV collaborative QoS management. In PATTERN RECOGNITION. ISSN 0031-3203, 2022, vol. 122, no., pp. Dostupné na: https://doi.org/10.1016/j.patcog.2021.108166, Registrované v: WOS
  [1.1] BALWANT, M. K. A Review on Convolutional Neural Networks for Brain Tumor Segmentation: Methods, Datasets, Libraries, and Future Directions. In IRBM, 2022-12-01, 43, 6, pp. 521-537. ISSN 19590318. Dostupné na: https://doi.org/10.1016/j.irbm.2022.05.002, Registrované v: WOS
  [1.1] BANG, R.S. - BERGMAN, M. - LI, T.Y. - MUKHERJEE, F. - ALSHEHRI, A.S. - ABBOTT, N.L. - CROOK, N.C. - VELEV, O.D. - HALL, C.K. - YOU, F.Q. An integrated chemical engineering approach to understanding microplastics. In AICHE JOURNAL. ISSN 0001-1541, APR 2023, vol. 69, no. 4. Dostupné na: https://doi.org/10.1002/aic.18020, Registrované v: WOS
  [1.1] BANIECKI, H. - PARZYCH, D. - BIECEK, P. The grammar of interactive explanatory model analysis. In DATA MINING AND KNOWLEDGE DISCOVERY. ISSN 1384-5810, 2023 FEB 14 2023. Dostupné na: https://doi.org/10.1007/s10618-023-00924-w, Registrované v: WOS
  [1.1] BARJOUEI, Hossein Shojaei - GHORBANI, Hamzeh - MOHAMADIAN, Nima - WOOD, David A. - DAVOODI, Shadfar - MOGHADASI, Jamshid - SABERI, Hossein. Prediction performance advantages of deep machine learning algorithms for two-phase flow rates through wellhead chokes. In JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION. ISSN 2190-0558, 2021, vol., no., pp., Registrované v: WOS
  [1.1] BARRERA-PATIñO, C.P. - SOARES, J.M. - BRANCO, K.C. - INADA, N.M. - BAGNATO, V.S. Spectroscopic Identification of Bacteria Resistance to Antibiotics by Means of Absorption of Specific Biochemical Groups and Special Machine Learning Algorithm. In ANTIBIOTICS-BASEL. ISSN 2079-6382, OCT 2023, vol. 12, no. 10. Dostupné na: https://doi.org/10.3390/antibiotics12101502, Registrované v: WOS
  [1.1] BASNET, Ram B. - JOHNSON, Clayton - DOLECK, Tenzin. Dropout prediction in Moocs using deep learning and machine learning. In EDUCATION AND INFORMATION TECHNOLOGIES, 2022, vol. 27, no. 8, pp. 11499-11513. ISSN 1360-2357. Dostupné na: https://doi.org/10.1007/s10639-022-11068-7, Registrované v: WOS
  [1.1] BASU, Sautami - AGARWAL, Ravinder - SRIVASTAVA, Vishal. Deep discriminative learning model with calibrated attention map for the automated diagnosis of diffuse large B-cell lymphoma. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2022, vol. 76, no., pp. ISSN 1746-8094. Dostupné na: https://doi.org/10.1016/j.bspc.2022.103728, Registrované v: WOS
  [1.1] BECKER, Nikolas - WALTL, Bernhard. Auditing and Testing AI A Holistic Framework. In DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT: HEALTH, OPERATIONS MANAGEMENT, AND DESIGN, PT II, 2022, vol. 13320, no., pp. 283-292. ISSN 0302-9743. Dostupné na: https://doi.org/10.1007/978-3-031-06018-2_20, Registrované v: WOS
  [1.1] BEN ATITALLAH, Safa - DRISS, Maha - BOULILA, Wadii - BEN GHEZALA, Henda. Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions. In COMPUTER SCIENCE REVIEW. ISSN 1574-0137, 2020, vol. 38, no., pp., Registrované v: WOS
  [1.1] BENNI, Benjamin - BLAY-FORNARINO, Mireille - MOSSER, Sebastien - PRECIOSO, Frederic - JUNGBLUTH, Guenther. When DevOps meets Meta-Learning: A portfolio to rule them all. In 2019 ACM/IEEE 22ND INTERNATIONAL CONFERENCE ON MODEL DRIVEN ENGINEERING LANGUAGES AND SYSTEMS COMPANION (MODELS-C 2019), 2019, vol., no., pp. 605-612., Registrované v: WOS
  [1.1] BHANDARI, Hum Nath - RIMAL, Binod - POKHREL, Nawa Raj - RIMAL, Ramchandra - DAHAL, Keshab R. LSTM-SDM: An integrated framework of LSTM implementation for sequential data modeling. In SOFTWARE IMPACTS, 2022, vol. 14, no., pp. ISSN 2665-9638. Dostupné na: https://doi.org/10.1016/j.simpa.2022.100396, Registrované v: WOS
  [1.1] BISWAS, Sumon - WARDAT, Mohammad - RAJAN, Hridesh. The Art and Practice of Data Science Pipelines. In 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022), 2022, vol., no., pp. 2091-2103. ISSN 0270-5257. Dostupné na: https://doi.org/10.1145/3510003.3510057, Registrované v: WOS
  [1.1] BOGUSLAWSKI, Pawel - ZLATANOVA, Sisi - GOTLIB, Dariusz - WYSZOMIRSKI, Michał - GNAT, Miłosz - GRZEMPOWSKI, Piotr. 3D building interior modelling for navigation in emergency response applications. In International Journal of Applied Earth Observation and Geoinformation, 2022-11-01, 114, pp. ISSN 15698432. Dostupné na: https://doi.org/10.1016/j.jag.2022.103066, Registrované v: WOS
  [1.1] CAI, Wang - WANG, JianZhuang - JIANG, Ping - CAO, LongChao - MI, GaoYang - ZHOU, Qi. Application of sensing techniques and artificial intelligence-based methods to laser welding real-time monitoring: A critical review of recent literature. In JOURNAL OF MANUFACTURING SYSTEMS. ISSN 0278-6125, 2020, vol. 57, no., pp. 1-18., Registrované v: WOS
  [1.1] CAO, B. - WANG, Z. - ZHANG, L. - FENG, D. - PENG, M. - ZHANG, L. Blockchain systems, technologies and applications: A methodology perspective. In IEEE Communications Surveys & Tutorials. eISSN 1553-877X, 2022, pp. 353-385. Dostupné na: https://doi.org/10.1109/COMST.2022.3204702, Registrované v: WOS
  [1.1] CAO, B. - WANG, Z.X. - ZHANG, L. - FENG, D.Q. - PENG, M.G. - ZHANG, L. - HAN, Z. Blockchain Systems, Technologies, and Applications: A Methodology Perspective. In IEEE COMMUNICATIONS SURVEYS AND TUTORIALS. 2023, vol. 25, no. 1, p. 353-385. Dostupné na: https://doi.org/10.1109/COMST.2022.3204702, Registrované v: WOS
  [1.1] CARNERO, Alejandro - MARTIN, Cristian - TORRES, Daniel R. - GARRIDO, Daniel - DIAZ, Manuel - RUBIO, Bartolome. Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 125478-125495., Registrované v: WOS
  [1.1] CHATTERJEE, Joyjit - DETHLEFS, Nina. Scientometric review of artificial intelligence for operations & maintenance of wind turbines: The past, present and future. In RENEWABLE & SUSTAINABLE ENERGY REVIEWS. ISSN 1364-0321, 2021, vol. 144, no., pp., Registrované v: WOS
  [1.1] CHAVDA, V.P. - VALU, D.D. - PARIKH, P.K. - TIWARI, N. - CHHIPA, A. - SHUKLA, S. - PATEL, S.S. - BALAR, P.C. - PAIVA-SANTOS, A.C. - PATRAVALE, V. Conventional and Novel Diagnostic Tools for the Diagnosis of Emerging SARS-CoV-2 Variants. In VACCINES. FEB 2023, vol. 11, no. 2. Dostupné na: https://doi.org/10.3390/vaccines11020374, Registrované v: WOS
  [1.1] CHEN, Z.S. - ZHANG, L.K. - LI, K. - XUE, X.Y. - ZHANG, X.L. - KIM, B. - LI, C.Y. Machine-learning prediction of aerodynamic damping for buildings and structures undergoing flow-induced vibrations. In JOURNAL OF BUILDING ENGINEERING. JAN 1 2023, vol. 63, A. Dostupné na: https://doi.org/10.1016/j.jobe.2022.105374, Registrované v: WOS
  [1.1] CHOI, Hyun-Sik. Drowsy driving detection using neural network with backpropagation algorithm implemented by FPGA. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2019, vol., no., pp., Registrované v: WOS
  [1.1] CHUI, Kwok Tai - GUPTA, Brij B. - ZHAO, Mingbo - MALIBARI, Areej - ARYA, Varsha - ALHALABI, Wadee - RUIZ, Miguel Torres. Enhancing Electrocardiogram Classification with Multiple Datasets and Distant Transfer Learning. In BIOENGINEERING-BASEL, 2022, vol. 9, no. 11, pp. Dostupné na: https://doi.org/10.3390/bioengineering9110683, Registrované v: WOS
  [1.1] CIRRINCIONE, Giansalvo - KUMAR, Rahul Ranjeev - MOHAMMADI, Ali - KIA, Shahin Hedayati - BARBIERO, Pietro - FERRETTI, Jacopo. Shallow Versus Deep Neural Networks in Gear Fault Diagnosis. In IEEE TRANSACTIONS ON ENERGY CONVERSION. ISSN 0885-8969, 2020, vol. 35, no. 3, pp. 1338-1347., Registrované v: WOS
  [1.1] COGUMBREIRO, T. - LANGE, J. - LIEW, D. - ZICARELLI, H. Memory access protocols: certified data-race freedom for GPU kernels. In FORMAL METHODS IN SYSTEM DESIGN. ISSN 0925-9856, 2023 MAY 26 2023. Dostupné na: https://doi.org/10.1007/s10703-023-00415-0, Registrované v: WOS
  [1.1] CORNETTA, Gianluca - TOUHAFI, Abdellah. Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices. In ELECTRONICS, 2021, vol. 10, no. 5, pp., Registrované v: WOS
  [1.1] DA SILVA, Fabiano G. - RAMOS, Lucas P. - PALM, Bruna G. - MACHADO, Renato. Assessment of Machine Learning Techniques for Oil Rig Classification in C-Band SAR Images. In REMOTE SENSING, 2022, vol. 14, no. 13, pp. Dostupné na: https://doi.org/10.3390/rs14132966, Registrované v: WOS
  [1.1] DEHURY, Chinmaya Kumar - SRIRAMA, Satish Narayana. An efficient service dispersal mechanism for fog and cloud computing using deep reinforcement learning. In 2020 20TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING (CCGRID 2020), 2020, vol., no., pp. 589-598., Registrované v: WOS
  [1.1] DESSUREAULT, J.S. - MASSICOTTE, D. <em>AI</em><SUP>2</SUP>: the next leap toward native language-based and explainable machine learning framework. In AUTOMATED SOFTWARE ENGINEERING. ISSN 0928-8910, NOV 2023, vol. 30, no. 2. Dostupné na: https://doi.org/10.1007/s10515-023-00399-5, Registrované v: WOS
  [1.1] DESSUREAULT, J.S. - MASSICOTTE, D. AI2: a novel explainable machine learning framework using an NLP interface. In PROCEEDINGS OF 2023 8TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING TECHNOLOGIES, ICMLT 2023. 2023, p. 1-7. Dostupné na: https://doi.org/10.1145/3589883.3589884, Registrované v: WOS
  [1.1] DEY, R. - PIRI, J. - BEHERA, D.K. - KHAN, A.U. A time efficient offline handwritten character recognition using convolutional extreme learning machine. In IMAGING SCIENCE JOURNAL. ISSN 1368-2199, 2023 JUN 27 2023. Dostupné na: https://doi.org/10.1080/13682199.2023.2223011, Registrované v: WOS
  [1.1] DHANKAR, S. - SHARMA, D. - MOHANTA, H.K. - SANDE, P.C. Machine Learning Applied to Predict Key Petroleum Crude Oil Constituents. In CHEMICAL ENGINEERING & TECHNOLOGY. ISSN 0930-7516, FEB 2024, vol. 47, no. 2, p. 365-374. Dostupné na: https://doi.org/10.1002/ceat.202300192, Registrované v: WOS
  [1.1] DHAYA, R. - KANTHAVEL, R. - VENUSAMY, K. AI Based Learning Model Management Framework for Private Cloud Computing. In JOURNAL OF INTERNET TECHNOLOGY. ISSN 1607-9264, 2022, vol. 23, no. 7, p. 1633-1642. Dostupné na: https://doi.org/10.53106/160792642022122307017, Registrované v: WOS
  [1.1] DI BERNARDO, I. - GRECO, F. Startups and Artificial Intelligence Insights from Italy. In IMPACT OF ARTIFICIAL INTELLIGENCE IN BUSINESS AND SOCIETY: Opportunities and Challenges. 2023, p. 134-152. Dostupné na: https://doi.org/10.4324/9781003304616-9, Registrované v: WOS
  [1.1] DIAMANTIS, Dimitrios E. - IAKOVIDIS, Dimitris K. ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 51970-51982., Registrované v: WOS
  [1.1] DINDORF, C. - BARTAGUIZ, E. - GASSMANN, F. - FROEHLICH, M. Conceptual Structure and Current Trends in Artificial Intelligence, Machine Learning, and Deep Learning Research in Sports: A Bibliometric Review. In INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. JAN 2023, vol. 20, no. 1. Dostupné na: https://doi.org/10.3390/ijerph20010173, Registrované v: WOS
  [1.1] DING, Yuzhe - HUANG, Shaofei - PENG, Roubo. Data Augmentation and Deep Learning Modeling Methods on Edge-Device-Based Sign Language Recognition. In 2020 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE, COMPUTER TECHNOLOGY AND TRANSPORTATION (ISCTT 2020), 2020, vol., no., pp. 490-497., Registrované v: WOS
  [1.1] DJENOURI, Youcef - BELHADI, Asma - LIN, Jerry Chun-Wei. Recurrent neural network with density-based clustering for group pattern detection in energy systems. In SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2022, vol. 52, no., pp. ISSN 2213-1388. Dostupné na: https://doi.org/10.1016/j.seta.2022.102308, Registrované v: WOS
  [1.1] DLI, M. - PUCHKOV, A. Yu - LOBANEVA, E. - CHERNOVALOVA, M. Evaluating the State of a Phosphorus Production System in the Service Life Prediction Problem. In MECHANICS, RESOURCE AND DIAGNOSTICS OF MATERIALS AND STRUCTURES (MRDMS-2020). ISSN 0094-243X, 2020, vol. 2315, no., pp., Registrované v: WOS
  [1.1] DOHMEN, Roel - CATAL, Cagatay - LIU, Qingzhi. Image-based body mass prediction of heifers using deep neural networks. In BIOSYSTEMS ENGINEERING. ISSN 1537-5110, 2021, vol. 204, no., pp. 283-293., Registrované v: WOS
  [1.1] DOLECK, Tenzin - LEMAY, David John - BASNET, Ram B. - BAZELAIS, Paul. Predictive analytics in education: a comparison of deep learning frameworks. In EDUCATION AND INFORMATION TECHNOLOGIES. ISSN 1360-2357, 2019, vol., no., pp., Registrované v: WOS
  [1.1] ECKARDT, Jan-Niklas - BORNHAEUSER, Martin - WENDT, Karsten - MIDDEKE, Jan Moritz. Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects. In BLOOD ADVANCES. ISSN 2473-9529, 2020, vol. 4, no. 23, pp. 6077-6085., Registrované v: WOS
  [1.1] EGIEYEH, Samuel - MALAN, Sarel F. - CHRISTOFFELS, Alan. Cheminformatics techniques in antimalarial drug discovery and development from natural products 2: Molecular scaffold and machine learning approaches. In PHYSICAL SCIENCES REVIEWS. ISSN 2365-6581, 2021, vol. 6, no. 3, pp., Registrované v: WOS
  [1.1] EL MIR, Haroun - PERINPANAYAGAM, Suresh. Certification of machine learning algorithms for safe-life assessment of landing gear. In FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 2022, vol. 9, no., pp. ISSN 2296-987X. Dostupné na: https://doi.org/10.3389/fspas.2022.896877, Registrované v: WOS
  [1.1] ELFATIH, Nada M. - HASAN, Mohammad Kamrul - KAMAL, Zeinab - GUPTA, Deepa - SAEED, Rashid A. - ALI, Elmustafa Sayed - HOSAIN, Md. Sarwar. Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends. In IET COMMUNICATIONS. ISSN 1751-8628, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1049/cmu2.12315, Registrované v: WOS
  [1.1] ELMDOOST-GASHTI, M. - SHAFIEE, M. - BOZORGI-AMIRI, A. Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities. In JOURNAL OF MARINE ENGINEERING AND TECHNOLOGY. ISSN 2046-4177, JAN 2 2024, vol. 23, no. 1, SI, p. 18-32. Dostupné na: https://doi.org/10.1080/20464177.2023.2243748, Registrované v: WOS
  [1.1] ENGEL, Ekaterina - ENGEL, Nikita. A Review on Machine Learning Applications for Solar Plants. In SENSORS, 2022, vol. 22, no. 23, pp. Dostupné na: https://doi.org/10.3390/s22239060, Registrované v: WOS
  [1.1] ERKINAY OZDEMIR, Merve - ALI, Zaara - SUBESHAN, Balakrishnan - ASMATULU, Eylem. Applying machine learning approach in recycling. In JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT. ISSN 1438-4957, 2021, vol., no., pp., Registrované v: WOS
  [1.1] FAN, Mingjing - XIAO, Keyan - SUN, Li - ZHANG, Shuai - XU, Yang. Automated Hyperparameter Optimization of Gradient Boosting Decision Tree Approach for Gold Mineral Prospectivity Mapping in the Xiong'ershan Area. In MINERALS, 2022, vol. 12, no. 12, pp. Dostupné na: https://doi.org/10.3390/min12121621, Registrované v: WOS
  [1.1] FERNOAGA, Vlad - CURPEN, Radu - NUTIU, Cosmin - SANDU, Florin. Multichannel Software Defined Radio with Spectral Decision via Centralized Artificial Intelligence. In 2019 18TH ROEDUNET CONFERENCE NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET). ISSN 2068-1038, 2019, vol., no., pp., Registrované v: WOS
  [1.1] FIROUZI, Farshad - FARAHANI, Bahar - MARINSEK, Alexander. The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT). In INFORMATION SYSTEMS, 2022, vol. 107, no., pp. ISSN 0306-4379. Dostupné na: https://doi.org/10.1016/j.is.2021.101840, Registrované v: WOS
  [1.1] FU, Rong - LIU, Yimin - HUANG, Tianyao - ELDAR, Yonina C. Structured LISTA for Multidimensional Harmonic Retrieval. In IEEE TRANSACTIONS ON SIGNAL PROCESSING. ISSN 1053-587X, 2021, vol. 69, no., pp. 3459-3472. Dostupné na: https://doi.org/10.1109/TSP.2021.3086593, Registrované v: WOS
  [1.1] FU, Yabo - ZHANG, Hao - MORRIS, Eric D. - GLIDE-HURST, Carri K. - PAI, Suraj - TRAVERSO, Alberto - WEE, Leonard - HADZIC, Ibrahim - LONNE, Per-Ivar - SHEN, Chenyang - LIU, Tian - YANG, Xiaofeng. Artificial Intelligence in Radiation Therapy. In IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES. ISSN 2469-7311, 2022, vol. 6, no. 2, pp. 158-181. Dostupné na: https://doi.org/10.1109/TRPMS.2021.3107454
  [1.1] GANIE, Shahid Mohammad - MALIK, Majid Bashir - ARIF, Tasleem. Performance analysis and prediction of type 2 diabetes mellitus based on lifestyle data using machine learning approaches. In JOURNAL OF DIABETES AND METABOLIC DISORDERS, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s40200-022-00981-w, Registrované v: WOS
  [1.1] GAO, Peng - WU, Weifei - LI, Jingmei. Multi-source fast transfer learning algorithm based on support vector machine. In APPLIED INTELLIGENCE. ISSN 0924-669X, 2021, vol., no., pp., Registrované v: WOS
  [1.1] GAWDE, S. - PATIL, S. - KUMAR, S. - KAMAT, P. - KOTECHA, K. - ABRAHAM, A. Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research. In ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. ISSN 0952-1976, AUG 2023, vol. 123, A. Dostupné na: https://doi.org/10.1016/j.engappai.2023.106139, Registrované v: WOS
  [1.1] GHANBARI, Hamid - MAHDIANPARI, Masoud - HOMAYOUNI, Saeid - MOHAMMADIMANESH, Fariba. A Meta-Analysis of Convolutional Neural Networks for Remote Sensing Applications. In IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. ISSN 1939-1404, 2021, vol. 14, no., pp. 3602-3613., Registrované v: WOS
  [1.1] GIDADO, Usman Manzo - CHIROMA, Haruna - ALJOJO, Nahla - ABUBAKAR, Saidu - POPOOLA, Segun I. - AL-GARADI, Mohammed Ali. A Survey on Deep Learning for Steering Angle Prediction in Autonomous Vehicles. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, no., pp. 163797-163817., Registrované v: WOS
  [1.1] GONZALEZ-ABAD, Jose - LOPEZ GARCIA, Alvaro - KOZLOV, Valentin Y. A container-based workflow for distributed training of deep learning algorithms in HPC clusters. In CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2022, vol., no., pp. ISSN 1386-7857. Dostupné na: https://doi.org/10.1007/s10586-022-03798-7, Registrované v: WOS
  [1.1] GUNDEWAR, Swapnil K. - KANE, Prasad. Rolling element bearing fault diagnosis using supervised learning methods- artificial neural network and discriminant classifier. In INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2022, vol., no., pp. ISSN 0975-6809. Dostupné na: https://doi.org/10.1007/s13198-022-01757-4, Registrované v: WOS
  [1.1] GUO, W.Y. - QURESHI, N.M.F. - JARWAR, M.A. - KIM, J. - SHIN, D.R. AI-oriented Smart Power System Transient Stability: The Rationality, Applications, Challenges and Future Opportunities. In SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS. ISSN 2213-1388, MAR 2023, vol. 56. Dostupné na: https://doi.org/10.1016/j.seta.2022.102990, Registrované v: WOS
  [1.1] GUO, Zixi - ZHAO, Jinzhou - YOU, Zhenjiang - LI, Yongming - ZHANG, Shu - CHEN, Yiyu. Prediction of coalbed methane production based on deep learning. In ENERGY. ISSN 0360-5442, 2021, vol. 230, no., pp., Registrované v: WOS
  [1.1] HAMAD, Faten - AL-FADEL, Maha - FAKHOURI, Hussam. The provision of smart service at academic libraries and associated challenges. In JOURNAL OF LIBRARIANSHIP AND INFORMATION SCIENCE, 2022, vol., no., pp. ISSN 0961-0006. Dostupné na: https://doi.org/10.1177/09610006221114173, Registrované v: WOS
  [1.1] HAN, Weijie - XUE, Jingfeng - WANG, Yong - ZHU, Shibing - KONG, Zixiao. Review: Build a Roadmap for Stepping Into the Field of Anti-Malware Research Smoothly. In IEEE ACCESS. ISSN 2169-3536, 2019, vol. 7, no., pp. 143573-143596., Registrované v: WOS
  [1.1] HARJOSEPUTRO, Yulius. A Classification Javanese Letters Model using a Convolutional Neural Network with KERAS Framework. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, 2020, vol. 11, no. 10, pp. 106-111., Registrované v: WOS
  [1.1] HASSAN, A.F. - BARAKAT, S. - REZK, A. Towards a deep learning-based outlier detection approach in the context of streaming data. In JOURNAL OF BIG DATA. DEC 16 2022, vol. 9, no. 1. Dostupné na: https://doi.org/10.1186/s40537-022-00670-8, Registrované v: WOS
  [1.1] HASSAN, Asmaa F. F. - BARAKAT, Sherif - REZK, Amira. Towards a deep learning-based outlier detection approach in the context of streaming data. In JOURNAL OF BIG DATA, 2022, vol. 9, no. 1, pp. Dostupné na: https://doi.org/10.1186/s40537-022-00670-8, Registrované v: WOS
  [1.1] HIJAZI, Neveen Mohammed - FARIS, Hossam - ALJARAH, Ibrahim. A parallel metaheuristic approach for ensemble feature selection based on multi-core architectures. In EXPERT SYSTEMS WITH APPLICATIONS. ISSN 0957-4174, 2021, vol. 182, no., pp., Registrované v: WOS
  [1.1] HO, Long - GOETHALS, Peter. Machine learning applications in river research: Trends, opportunities and challenges. In METHODS IN ECOLOGY AND EVOLUTION, 2022, vol. 13, no. 11, pp. 2603-2621. ISSN 2041-210X. Dostupné na: https://doi.org/10.1111/2041-210X.13992, Registrované v: WOS
  [1.1] HOESER, Thorsten - KUENZER, Claudia. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends. In REMOTE SENSING, 2020, vol. 12, no. 10, pp., Registrované v: WOS
  [1.1] HOORALI, F. - KHOSRAVI, H. - MORADI, B. An automatic method for microscopic diagnosis of diseases based on URCNN. In BIOMEDICAL SIGNAL PROCESSING AND CONTROL. ISSN 1746-8094, FEB 2023, vol. 80, 1. Dostupné na: https://doi.org/10.1016/j.bspc.2022.104240, Registrované v: WOS
  [1.1] HUANG, B.B. - WANG, C.Y. Research on Data Analysis of Efficient Innovation and Entrepreneurship Practice Teaching Based on LightGBM Classification Algorithm. In INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS. ISSN 1875-6891, SEP 7 2023, vol. 16, no. 1. Dostupné na: https://doi.org/10.1007/s44196-023-00324-4, Registrované v: WOS
  [1.1] HUANG, Wei - WEI, Ziming - TAN, Benying - YIN, Shan - ZHANG, Wentao. Inverse engineering of electromagnetically induced transparency in terahertz metamaterial via deep learning. In JOURNAL OF PHYSICS D-APPLIED PHYSICS. ISSN 0022-3727, 2021, vol. 54, no. 13, pp., Registrované v: WOS
  [1.1] HURVITZ, N. - ILAN, Y. The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from "Nice to Have" to Mandatory Systems. In CLINICS AND PRACTICE. ISSN 2039-7275, AUG 2023, vol. 13, no. 4, p. 994-1014. Dostupné na: https://doi.org/10.3390/clinpract13040089, Registrované v: WOS
  [1.1] IBRAHIM, Khaled Z. - OLIKER, Leonid. Preprocessing Pipeline Optimization for Scientific Deep Learning Workloads. In 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), 2022, vol., no., pp. 1118-1128. ISSN 1530-2075. Dostupné na: https://doi.org/10.1109/IPDPS53621.2022.00112, Registrované v: WOS
  [1.1] ILIAS, L. - TSAPELAS, G. - KAPSALIS, P. - MICHALAKOPOULOS, V. - KORMPAKIS, G. - MOUZAKITIS, S. - ASKOUNIS, D. Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. In FRONTIERS IN BIG DATA. JUL 27 2023, vol. 6. Dostupné na: https://doi.org/10.3389/fdata.2023.1220348, Registrované v: WOS
  [1.1] JAISWAL, Deepak - KUMAR, Praveen. A survey on parallel computing for traditional computer vision. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1002/cpe.6638, Registrované v: WOS
  [1.1] JANGA, B. - ASAMANI, G.P. - SUN, Z.H. - CRISTEA, N. A Review of Practical AI for Remote Sensing in Earth Sciences. In REMOTE SENSING. AUG 2023, vol. 15, no. 16. Dostupné na: https://doi.org/10.3390/rs15164112, Registrované v: WOS
  [1.1] JAURO, Fatsuma - CHIROMA, Haruna - GITAL, Abdulsalam Y. - ALMUTAIRI, Mubarak - ABDULHAMID, Shafi'i M. - ABAWAJY, Jemal H. Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend. In APPLIED SOFT COMPUTING. ISSN 1568-4946, 2020, vol. 96, no., pp., Registrované v: WOS
  [1.1] JI, Daan - WANG, Chuang - LI, Jiahui - DONG, Hongli. A review: data driven-based fault diagnosis and RUL prediction of petroleum machinery and equipment. In SYSTEMS SCIENCE & CONTROL ENGINEERING, 2021, vol. 9, no. 1, pp. 724-747. Dostupné na: https://doi.org/10.1080/21642583.2021.1992684, Registrované v: WOS
  [1.1] JOSEPH, Diana Susan - PAWAR, Pranav M. - PRAMANIK, Rahul. Intelligent plant disease diagnosis using convolutional neural network: a review. In MULTIMEDIA TOOLS AND APPLICATIONS, 2022, vol., no., pp. ISSN 1380-7501. Dostupné na: https://doi.org/10.1007/s11042-022-14004-6, Registrované v: WOS
  [1.1] KAHVECI, Sinan - ALKAN, Bugra - AHMAD, Mus'ab H. - AHMAD, Bilal - HARRISON, Robert. An end-to-end big data analytics platform for IoT-enabled smart factories: A case study of battery module assembly system for electric vehicles. In JOURNAL OF MANUFACTURING SYSTEMS, 2022, vol. 63, no., pp. 214-223. ISSN 0278-6125. Dostupné na: https://doi.org/10.1016/j.jmsy.2022.03.010, Registrované v: WOS
  [1.1] KAMATH, V. - RENUKA, A. Deep learning based object detection for resource constrained devices: Systematic review, future trends and challenges ahead. In NEUROCOMPUTING. ISSN 0925-2312, APR 28 2023, vol. 531, p. 34-60. Dostupné na: https://doi.org/10.1016/j.neucom.2023.02.006, Registrované v: WOS
  [1.1] KAMBLE, Arvind - MALEMATH, Virendra S. Adam Improved Rider Optimization-Based Deep Recurrent Neural Network for the Intrusion Detection in Cyber Physical Systems. In International Journal of Swarm Intelligence Research (IJSIR). 2022, vol. 13, no. 3, pp. 1-22. doi: 10.4018/IJSIR.304402., Registrované v: WOS
  [1.1] KAMRAN, Sayed Suhaib - HALEEM, Abid - BAHL, Shashi - JAVAID, Mohd - PRAKASH, Chander - BUDHHI, Dharam. Artificial intelligence and advanced materials in automotive industry: Potential applications and perspectives. In MATERIALS TODAY-PROCEEDINGS, 2022, vol. 62, no., pp. 4207-4214. ISSN 2214-7853. Dostupné na: https://doi.org/10.1016/j.matpr.2022.04.727, Registrované v: WOS
  [1.1] KANG, M. - KIM, S. - RYU, D. - CHO, J. Which Exceptions Do We Have to Catch in the Python Code for AI Projects?. In INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING. ISSN 0218-1940, MAR 2023, vol. 33, no. 03, p. 375-394. Dostupné na: https://doi.org/10.1142/S0218194022500814, Registrované v: WOS
  [1.1] KANG, Z.W. - MIN, Z.R. - ZHOU, S. - BARVE, Y.D. - GOKHALE, A. Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads. In 2023 IEEE 26TH INTERNATIONAL SYMPOSIUM ON REAL-TIME DISTRIBUTED COMPUTING, ISORC. ISSN 2770-1611, 2023, p. 107-116. Dostupné na: https://doi.org/10.1109/ISORC58943.2023.00023, Registrované v: WOS
  [1.1] KAPSECKER, M. - NUGRAHA, D.N. - WEINHUBER, C. - LANE, N. - JONAS, S.M. Federated Learning with Swift: An Extension of Flower and Performance Evaluation. In SOFTWAREX. ISSN 2352-7110, DEC 2023, vol. 24. Dostupné na: https://doi.org/10.1016/j.softx.2023.101533, Registrované v: WOS
  [1.1] KATTENBORN, Teja - LEITLOFF, Jens - SCHIEFER, Felix - HINZ, Stefan. Review on Convolutional Neural Networks (CNN) in vegetation remote sensing. In ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. ISSN 0924-2716, 2021, vol. 173, no., pp. 24-49., Registrované v: WOS
  [1.1] KETOVA, K. - RUSYAK, I. G. - VAVILOVA, D. D. MATHEMATICAL MODELING AND NEURAL NETWORK PREDICTION OF THE STRUCTURE AND DYNAMICS OF HUMAN CAPITAL OF THE RUSSIAN FEDERATION. In VESTNIK TOMSKOGO GOSUDARSTVENNOGO UNIVERSITETA-UPRAVLENIE VYCHISLITELNAJA TEHNIKA I INFORMATIKA-TOMSK STATE UNIVERSITY JOURNAL OF CONTROL AND COMPUTER SCIENCE. ISSN 1998-8605, 2020, vol., no. 53, pp. 13-24., Registrované v: WOS
  [1.1] KETOVA, K. - VAVILOVA, D. D. Neural Network Forecasting Algorithm as a Tool for Assessing Human Capital Trends of the Socio-Economic System. In ECONOMIC AND SOCIAL CHANGES-FACTS TRENDS FORECAST. ISSN 2307-0331, 2020, vol. 13, no. 6, pp. 117-133., Registrované v: WOS
  [1.1] KHAN, Asifullah - SOHAIL, Anabia - ZAHOORA, Umme - QURESHI, Aqsa Saeed. A survey of the recent architectures of deep convolutional neural networks. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
  [1.1] KIM, Misoo - KIM, Youngkyoung - LEE, Eunseok. An Empirical Study of IR-based Bug Localization for Deep Learning-based Software. In 2022 IEEE 15TH INTERNATIONAL CONFERENCE ON SOFTWARE TESTING, VERIFICATION AND VALIDATION (ICST 2022), 2022, vol., no., pp. 128-139. ISSN 2381-2834. Dostupné na: https://doi.org/10.1109/ICST53961.2022.00024, Registrované v: WOS
  [1.1] KIM, Misoo - KIM, Youngkyoung - LEE, Eunseok. Denchmark: A Bug Benchmark of Deep Learning-related Software. In 2021 IEEE/ACM 18TH INTERNATIONAL CONFERENCE ON MINING SOFTWARE REPOSITORIES (MSR 2021). ISSN 2160-1852, 2021, vol., no., pp. 540-544. Dostupné na: https://doi.org/10.1109/MSR52588.2021.00070, Registrované v: WOS
  [1.1] KINAHAN, S.P. - LISS, J.M. - BERISHA, V. TorchDIVA: An extensible computational model of speech production built on an open-source machine learning library. In PLOS ONE. ISSN 1932-6203, FEB 17 2023, vol. 18, no. 2. Dostupné na: https://doi.org/10.1371/journal.pone.0281306, Registrované v: WOS
  [1.1] KOMORNICZAK, J. - KSIENIEWICZ, P. problexity-An open-source Python library for supervised learning problem complexity assessment. In NEUROCOMPUTING. ISSN 0925-2312, FEB 7 2023, vol. 521, p. 126-136. Dostupné na: https://doi.org/10.1016/j.neucom.2022.11.056, Registrované v: WOS
  [1.1] KORBEL, Jakob J. - SIDDIQ, Umar H. - ZARNEKOW, Ruediger. Towards Virtual 3D Asset Price Prediction Based on Machine Learning. In JOURNAL OF THEORETICAL AND APPLIED ELECTRONIC COMMERCE RESEARCH, 2022, vol. 17, no. 3, pp. 924-948. ISSN 0718-1876. Dostupné na: https://doi.org/10.3390/jtaer17030048, Registrované v: WOS
  [1.1] KOZIC, Antoni - LUCUN, Andzej - VINGELIS, Mindaugas - MACERAUSKAS, Eugenijus - NARMONTAS, Andrius. APPLICATION OF MACHINE LEARNING FOR REMOTE ELECTRONICS EXPERIMENTS AS THE MEAN OF INDENTIFICATION. In SOCIETY, INTEGRATION, EDUCATION 2021, VOL V, 2021, vol., no., pp. 371-378. ISSN 1691-5887. Dostupné na: https://doi.org/10.17770/sie2021vol5.6371, Registrované v: WOS
  [1.1] KRAMAR, V. - ALCHAKOV, V. Time-Series Forecasting of Seasonal Data Using Machine Learning Methods. In ALGORITHMS. MAY 10 2023, vol. 16, no. 5. Dostupné na: https://doi.org/10.3390/a16050248, Registrované v: WOS
  [1.1] KUCHIN, Yan - MUKHAMEDIEV, Ravil - YAKUNIN, Kirill - GRUNDSPENKIS, Janis - SYMAGULOV, Adilkhan. Assessing the Impact of Expert Labelling of Training Data on the Quality of Automatic Classification of Lithological Groups Using Artificial Neural Networks. In APPLIED COMPUTER SYSTEMS. ISSN 2255-8683, 2020, vol. 25, no. 2, pp. 145-152., Registrované v: WOS
  [1.1] KWOFIE, S.K. - ADAMS, J. - BRONI, E. - ENNINFUL, K.S. - AGONI, C. - SOLIMAN, M.E.S. - WILSON, M.D. Artificial Intelligence, Machine Learning, and Big Data for Ebola Virus Drug Discovery. In PHARMACEUTICALS. MAR 2023, vol. 16, no. 3. Dostupné na: https://doi.org/10.3390/ph16030332, Registrované v: WOS
  [1.1] KWOFIE, Samuel K. - AGYENKWA-MAWULI, Kwasi - BRONI, Emmanuel - MILLER III, Whelton A. - WILSON, Michael D. Prediction of antischistosomal small molecules using machine learning in the era of big data. In MOLECULAR DIVERSITY. ISSN 1381-1991, 2021, vol., no., pp., Registrované v: WOS
  [1.1] LAI, Jianqi - YU, Hang - TIAN, Zhengyu - LI, Hua. Hybrid MPI and CUDA Parallelization for CFD Applications on Multi-GPU HPC Clusters. In SCIENTIFIC PROGRAMMING. ISSN 1058-9244, 2020, vol. 2020, no., pp., Registrované v: WOS
  [1.1] LANA, Ibai - SANCHEZ-MEDINA, Javier J. - VLAHOGIANNI, Eleni I. - DEL SER, Javier. From Data to Actions in Intelligent Transportation Systems: A Prescription of Functional Requirements for Model Actionability. In SENSORS, 2021, vol. 21, no. 4, pp., Registrované v: WOS
  [1.1] LAOULA, E.B. - ELFAHIM, O. - EL MIDAOUI, M. - YOUSSFI, M. - BOUATTANE, O. Traffic violations analysis: Identifying risky areas and common violations. In HELIYON. SEP 2023, vol. 9, no. 9. Dostupné na: https://doi.org/10.1016/j.heliyon.2023.e19058, Registrované v: WOS
  [1.1] LATIF, Shahid - DRISS, Maha - BOULILA, Wadii - HUMA, Zil E. - JAMAL, Sajjad Shaukat - IDREES, Zeba - AHMAD, Jawad. Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions. In SENSORS, 2021, vol. 21, no. 22, pp. Dostupné na: https://doi.org/10.3390/s21227518, Registrované v: WOS
  [1.1] LEE, Junhee - CHO, Hyeonseong - PYUN, Yun Jang - KANG, Suk-Ju - NAM, Hyoungsik. Heatmap Assisted Accuracy Score Evaluation Method for Machine-Centric Expandable Deep Neural Networks. In IEEE ACCESS, 2022, vol. 10, no., pp. 64832-64849. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3184453, Registrované v: WOS
  [1.1] LEE, Y.K. - PARK, S.H. - LIM, M.Y. - LEE, S.H. - JEONG, J. Towards Ensuring Software Interoperability Between Deep Learning Frameworks. In JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH. ISSN 2083-2567, OCT 1 2023, vol. 13, no. 4, p. 215-228. Dostupné na: https://doi.org/10.2478/jaiscr-2023-0016, Registrované v: WOS
  [1.1] LI, Hong-An - ZHENG, Qiaoxue - QI, Xin - YAN, Wenjing - WEN, Zheng - LI, Na - TANG, Chu. Neural Network-Based Mapping Mining of Image Style Transfer in Big Data Systems. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2021, vol. 2021, no., pp. ISSN 1687-5265. Dostupné na: https://doi.org/10.1155/2021/8387382, Registrované v: WOS
  [1.1] LI, Ruihua - FENG, Zhidong - GUO, Hongbo. Data Mining and Analysis Algorithm of Smart City Network Information Resource Description Framework Based on Fuzzy Association Rules. In JOURNAL OF TESTING AND EVALUATION, 2022, vol., no., pp. ISSN 0090-3973. Dostupné na: https://doi.org/10.1520/JTE20220098, Registrované v: WOS
  [1.1] LI, Xiaofeng - LI, Dong - DENG, Yuanbei - XING, Jinming. Intelligent mining algorithm for complex medical data based on deep learning. In JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING. ISSN 1868-5137, 2020, vol., no., pp., Registrované v: WOS
  [1.1] LIAN, Jian - ZHOU, Yanan - HAN, Lina - YU, Zhiguo. Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, vol. 2022, no., pp. ISSN 1687-5265. Dostupné na: https://doi.org/10.1155/2022/3316886, Registrované v: WOS
  [1.1] LIM, Jane S. - HONG, Merrelynn - LAM, Walter S. T. - ZHANG, Zheting - TEO, Zhen Ling - LIU, Yong - NG, Wei Yan - FOO, Li Lian - TING, Daniel S. W. Novel technical and privacy-preserving technology for artificial intelligence in ophthalmology. In CURRENT OPINION IN OPHTHALMOLOGY, 2022, vol. 33, no. 3, pp. 174-187. ISSN 1040-8738. Dostupné na: https://doi.org/10.1097/ICU.0000000000000846, Registrované v: WOS
  [1.1] LIM, Seung-Ho - KANG, Shin-Hyeok - KO, Byeong-Hyun - ROH, Jaewon - LIM, Chaemin - CHO, Sang-Young. An Integrated Analysis Framework of Convolutional Neural Network for Embedded Edge Devices. In ELECTRONICS, 2022, vol. 11, no. 7, pp. Dostupné na: https://doi.org/10.3390/electronics11071041, Registrované v: WOS
  [1.1] LINVILLE, Lisa M. Event-Based Training in Label-Limited Regimes. In JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH. ISSN 2169-9313, 2022, vol. 127, no. 1, pp. Dostupné na: https://doi.org/10.1029/2021JB022820, Registrované v: WOS
  [1.1] LIU, Ying - WANG, Yifei - CHEN, Long - ZHAO, Jun - WANG, Wei - LIU, Quanli. Incremental Bayesian broad learning system and its industrial application. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
  [1.1] LU, Shibo - CHAI, Hua - SAHOO, Animesh - PHUNG, B. T. Condition Monitoring Based on Partial Discharge Diagnostics Using Machine Learning Methods: A Comprehensive State-of-the-Art Review. In IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION. ISSN 1070-9878, 2020, vol. 27, no. 6, pp. 1861-1888., Registrované v: WOS
  [1.1] LUTZ, Clemens - BRESS, Sebastian - ZEUCH, Steffen - RABL, Tilmann - MARKL, Volker. Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects. In SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, 2020, vol., no., pp. 1633-1649., Registrované v: WOS
  [1.1] LWAKATARE, Lucy Ellen - RAJ, Aiswarya - CRNKOVIC, Ivica - BOSCH, Jan - OLSSON, Helena Holmstrom. Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions. In INFORMATION AND SOFTWARE TECHNOLOGY. ISSN 0950-5849, 2020, vol. 127, no., pp., Registrované v: WOS
  [1.1] MAHAPATRA, Tanmaya - BANOO, Syeeda Nilofer. Flow-based programming for machine learning. In Future Internet, 2022-02-01, 14, 2, pp. Dostupné na: https://doi.org/10.3390/fi14020058, Registrované v: WOS
  [1.1] MAIER-HEIN, Lena - EISENMANN, Matthias - SARIKAYA, Duygu - MAERZ, Keno - COLLINS, Toby - MALPANI, Anand - FALLERT, Johannes - FEUSSNER, Hubertus - GIANNAROU, Stamatia - MASCAGNI, Pietro - NAKAWALA, Hirenkumar - PARK, Adrian - PUGH, Carla - STOYANOV, Danail - VEDULA, Swaroop S. - CLEARY, Kevin - FICHTINGER, Gabor - FORESTIER, Germain - GIBAUD, Bernard - GRANTCHAROV, Teodor - HASHIZUME, Makoto - HECKMANN-NOETZEL, Doreen - KENNGOTT, Hannes G. - KIKINIS, Ron - MUENDERMANN, Lars - NAVAB, Nassir - ONOGUR, Sinan - ROSS, Tobias - SZNITMAN, Raphael - TAYLOR, Russell H. - TIZABI, Minu D. - WAGNER, Martin - HAGER, Gregory D. - NEUMUTH, Thomas - PADOY, Nicolas - COLLINS, Justin - GOCKEL, Ines - GOEDEKE, Jan - HASHIMOTO, Daniel A. - JOYEUX, Luc - LAM, Kyle - LEFF, Daniel R. - MADANI, Amin - MARCUS, Hani J. - MEIRELES, Ozanan - SEITEL, Alexander - TEBER, Dogu - UECKERT, Frank - MUELLER-STICH, Beat P. - JANNIN, Pierre - SPEIDEL, Stefanie. Surgical data science-from concepts toward clinical translation. In MEDICAL IMAGE ANALYSIS, 2022, vol. 76, no., pp. ISSN 1361-8415. Dostupné na: https://doi.org/10.1016/j.media.2021.102306, Registrované v: WOS
  [1.1] MALASOWE, B.O. - AKAZUE, M.I. - OKPAKO, E.A. - AGHWARE, F.O. - OJUGO, A.A. - OJIE, D.V. Adaptive Learner-CBT with Secured Fault-Tolerant and Resumption Capability for Nigerian Universities. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, AUG 2023, vol. 14, no. 8, p. 135-142., Registrované v: WOS
  [1.1] MALLIK, A.K. The future of the technology-based manufacturing in the European Union. In RESULTS IN ENGINEERING. ISSN 2590-1230, SEP 2023, vol. 19. Dostupné na: https://doi.org/10.1016/j.rineng.2023.101356, Registrované v: WOS
  [1.1] MARTIN, Cristian - LANGENDOERFER, Peter - ZARRIN, Pouya Soltani - DIAZ, Manuel - RUBIO, Bartolome. Kafka-ML: Connecting the data stream with ML/AI frameworks. In FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE. ISSN 0167-739X, 2022, vol. 126, no., pp. 15-33. Dostupné na: https://doi.org/10.1016/j.future.2021.07.037
  [1.1] MASOOD, Zaki - GANTASSI, Rahma - ARDIANSYAH - CHOI, Yonghoon. A Multi-Step Time-Series Clustering-Based Seq2Seq LSTM Learning for a Single Household Electricity Load Forecasting. In ENERGIES, 2022, vol. 15, no. 7, pp. Dostupné na: https://doi.org/10.3390/en15072623, Registrované v: WOS
  [1.1] MATHIS, Mackenzie Weygandt - MATHIS, Alexander. Deep learning tools for the measurement of animal behavior in neuroscience. In CURRENT OPINION IN NEUROBIOLOGY. ISSN 0959-4388, 2020, vol. 60, no., pp. 1-11., Registrované v: WOS
  [1.1] MATTOO, F.A. - NAWAZ, T. - SALEEM, M.M. - KHAN, U.S. - HAMZA, A. Deep Learning Based Multiresponse Optimization Methodology for Dual-Axis MEMS Accelerometer. In MICROMACHINES. APR 2023, vol. 14, no. 4. Dostupné na: https://doi.org/10.3390/mi14040817, Registrované v: WOS
  [1.1] MAYET, A.M. - SHUKLA, N.K. - RAJA, M.R. - AHMAD, I. - QAISI, R.M.A. - AL-QAHTANI, A.A. - TAPARWAL, A. - TIRTH, V. - AL-DOSSARY, R. Experimental Analysis to Detect Corona COVID-19 Virus Symptoms in Male Patients through Breath Pattern Using Machine Learning Algorithms. In ELECTRONICS. JAN 2023, vol. 12, no. 1. Dostupné na: https://doi.org/10.3390/electronics12010010, Registrované v: WOS
  [1.1] MEHDIZADEH, Saeid - AHMADI, Farshad - KOUZEHKALANI SALES, Ali. Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and tau-Kendall pre-processing techniques. In STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT, 2022, vol., no., pp. ISSN 1436-3240. Dostupné na: https://doi.org/10.1007/s00477-022-02268-1, Registrované v: WOS
  [1.1] MEIJERING, Erik. A bird's-eye view of deep learning in bioimage analysis. In COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL. ISSN 2001-0370, 2020, vol. 18, no., pp. 2312-2325., Registrované v: WOS
  [1.1] MENEGHIN, Massimiliano - MAHMOUD, Ahmed H. - JAYARAMAN, Pradeep Kumar - MORRIS, Nigel J. W. Neon: A Multi-GPU Programming Model for Grid-based Computations. In 2022 IEEE 36TH INTERNATIONAL PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM (IPDPS 2022), 2022, vol., no., pp. 817-827. ISSN 1530-2075. Dostupné na: https://doi.org/10.1109/IPDPS53621.2022.00084, Registrované v: WOS
  [1.1] MIENYE, I.D. - SUN, Y.X. A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 30628-30638. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3262020, Registrované v: WOS
  [1.1] MIKKILI, Indira - KARLAPUDI, Abraham Peele - VENKATESWARULU, T. C. - KODALI, Vidya Prabhakar - MACAMDAS, Deepika Sri Singh - SREERAMA, Krupanidhi. Potential of artificial intelligence to accelerate diagnosis and drug discovery for COVID-19. In PEERJ. ISSN 2167-8359, 2021, vol. 9, no., pp. Dostupné na: https://doi.org/10.7717/peerj.12073, Registrované v: WOS
  [1.1] MON, K.Y. - KONDO, M. - CHOI, E. - MIZUNO, O. Commit-Based Class-Level Defect Prediction for Python Projects. In IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS. ISSN 0916-8532, FEB 2023, vol. E106D, no. 2, p. 157-165. Dostupné na: https://doi.org/10.1587/transinf.2022MPP0003, Registrované v: WOS
  [1.1] MORO, Sergio - ESMERADO, Joaquim - RAMOS, Pedro - ALTURAS, Braulio. Evaluating a guest satisfaction model through data mining. In INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT. ISSN 0959-6119, 2019, vol. 32, no. 4, pp. 1523-1538., Registrované v: WOS
  [1.1] MUHAMMAD, Amina N. - ASEERE, Ali M. - CHIROMA, Haruna - SHAH, Habib - GITAL, Abdulsalam Y. - HASHEM, Ibrahim Abaker Targio. Deep learning application in smart cities: recent development, taxonomy, challenges and research prospects. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, 2020, vol., no., pp., Registrované v: WOS
  [1.1] MUKHAMEDIEV, Ravil - KUCHIN, Yan - AMIRGALIYEV, Yedilkhan - YUNICHEVA, Nadiya - MUHAMEDIJEVA, Elena. Estimation of Filtration Properties of Host Rocks in Sandstone-Type Uranium Deposits Using Machine Learning Methods. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, no., pp. 18855-18872. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3149625, Registrované v: WOS
  [1.1] MUKHAMEDIEV, Ravil - POPOVA, Yelena - KUCHIN, Yan - ZAITSEVA, Elena - KALIMOLDAYEV, Almas - SYMAGULOV, Adilkhan - LEVASHENKO, Vitaly - ABDOLDINA, Farida - GOPEJENKO, Viktors - YAKUNIN, Kirill - MUHAMEDIJEVA, Elena - YELIS, Marina. Review of Artificial Intelligence and Machine Learning Technologies: Classification, Restrictions, Opportunities and Challenges. In MATHEMATICS, 2022, vol. 10, no. 15, pp. Dostupné na: https://doi.org/10.3390/math10152552, Registrované v: WOS
  [1.1] MUKHAMEDIEV, Ravil - SYMAGULOV, Adilkhan - KUCHIN, Yan - YAKUNIN, Kirill - YELIS, Marina. From Classical Machine Learning to Deep Neural Networks: A Simplified Scientometric Review. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 12, pp., Registrované v: WOS
  [1.1] MéNDEZ-GURROLA, I.I. - RAMíREZ-REYES, A. - BARRANCO-GUTIéRREZ, A.I. A Review and Perspective on the Main Machine Learning Methods Applied to Physical Sciences. In ACTA POLYTECHNICA HUNGARICA. ISSN 1785-8860, 2022, vol. 19, no. 10, p. 205-220., Registrované v: WOS
  [1.1] NADI, S. - SAKR, N. Selecting third-party libraries: the data scientist's perspective. In EMPIRICAL SOFTWARE ENGINEERING. ISSN 1382-3256, JAN 2023, vol. 28, no. 1. Dostupné na: https://doi.org/10.1007/s10664-022-10241-3, Registrované v: WOS
  [1.1] NAGY, Eniko - LOVAS, Robert - PINTYE, Istvan - HAJNAL, Akos - KACSUK, Peter. Cloud-agnostic architectures for machine learning based on Apache Spark. In ADVANCES IN ENGINEERING SOFTWARE. ISSN 0965-9978, 2021, vol. 159, no., pp., Registrované v: WOS
  [1.1] NAJAFI, B. - NAJAFI, A. - FARAHMANDIAN, A. The Impact of Artificial Intelligence and Blockchain on Six Sigma: A Systematic Literature Review of the Evidence and Implications. In IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. ISSN 0018-9391, 2023 NOV 3 2023. Dostupné na: https://doi.org/10.1109/TEM.2023.3324542, Registrované v: WOS
  [1.1] NARAYANANKUTTY, Hrishikesh. Self-Adapting Model-Based SDSec For IoT Networks Using Machine Learning. In 2021 IEEE 18TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C), 2021, vol., no., pp. 92-93., Registrované v: WOS
  [1.1] NARIMATSU, Hiromi - KASAI, Hiroyuki. OVERLAPPED STATE HIDDEN SEMI-MARKOV MODEL FOR GROUPED MULTIPLE SEQUENCES. In 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. ISSN 1520-6149, 2020, vol., no., pp. 3397-3401., Registrované v: WOS
  [1.1] NARKHEDE, Meenal V. - BARTAKKE, Prashant P. - SUTAONE, Mukul S. A review on weight initialization strategies for neural networks. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2021, vol., no., pp., Registrované v: WOS
  [1.1] NAYAK, Swarajya Laxmi - SETHI, Shruti - SAHOO, Rabi Narayan - DUBEY, Anil Kumar - GOEL, Swati. Potential of X-ray imaging to detect citrus granulation in different cultivars with progress in harvesting time. In INDIAN JOURNAL OF EXPERIMENTAL BIOLOGY. ISSN 0019-5189, 2022, vol. 60, no. 4, pp. 263-268., Registrované v: WOS
  [1.1] NAZLIEL, K. - KAYABAY, K. - GÖKALP, M.O. - GÖKALP, E. - EREN, E. Data science technology selection: development of a decision-making approach. In 2022 IEEE Technology and Engineering Management Conference (TEMSCON EUROPE). ISBN 978-1-6654-8314-8, 2022, pp. 172-178. Dostupné na: https://doi.org/ 10.1109/TEMSCONEUROPE54743.2022.9802054, Registrované v: WOS
  [1.1] NEJAD, S.M.M. - ABBASI-MOGHADAM, D. - SHARIFI, A. - FARMONOV, N. - AMANKULOVA, K. - LASZLZ, M. Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches. In IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. ISSN 1939-1404, 2023, vol. 16, p. 254-266. Dostupné na: https://doi.org/10.1109/JSTARS.2022.3223423, Registrované v: WOS
  [1.1] NOOR, F. - ASIF, M. - ASHFAQ, U.A. - QASIM, M. - UL QAMAR, M.T. Machine learning for synergistic network pharmacology: a comprehensive overview. In BRIEFINGS IN BIOINFORMATICS. ISSN 1467-5463, MAY 19 2023, vol. 24, no. 3. Dostupné na: https://doi.org/10.1093/bib/bbad120, Registrované v: WOS
  [1.1] PAN, Qianqian - WU, Jun - BASHIR, Ali Kashif - LI, Jianhua - WU, Jie. Side-Channel Fuzzy Analysis-Based AI Model Extraction Attack With Information-Theoretic Perspective in Intelligent IoT. In IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, vol. 30, no. 11, pp. 4642-4656. ISSN 1063-6706. Dostupné na: https://doi.org/10.1109/TFUZZ.2022.3172991, Registrované v: WOS
  [1.1] PANWAR, Harsh - GUPTA, P. K. - SIDDIQUI, Mohammad Khubeb - MORALES-MENENDEZ, Ruben - BHARDWAJ, Prakhar - SINGH, Vaishnavi. A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images. In CHAOS SOLITONS & FRACTALS. ISSN 0960-0779, 2020, vol. 140, no., pp., Registrované v: WOS
  [1.1] PARHIZKAR, Mahboub - AMIRFAKHRIAN, Majid. Car detection and damage segmentation in the real scene using a deep learning approach. In INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS. ISSN 2366-5971, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s41315-022-00231-5, Registrované v: WOS
  [1.1] PASRIJA, Purvashi - JHA, Prakash - UPADHYAYA, Pruthvi - KHAN, Mohd. Shoaib - CHOPRA, Madhu. Machine Learning and Artificial Intelligence: A Paradigm Shift in Big Data-Driven Drug Design and Discovery. In CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2022, vol. 22, no. 20, pp. 1692-1727. ISSN 1568-0266. Dostupné na: https://doi.org/10.2174/1568026622666220701091339, Registrované v: WOS
  [1.1] PHU PHAM - LOAN T T NGUYEN - PEDRYCZ, Witold - VO, Bay. Deep learning, graph-based text representation and classification: a survey, perspectives and challenges. In ARTIFICIAL INTELLIGENCE REVIEW, 2022, vol., no., pp. ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-022-10265-7, Registrované v: WOS
  [1.1] PINTYE, Istvan - KAIL, Eszter - KACSUK, Peter - LOVAS, Robert. Big data and machine learning framework for clouds and its usage for text classification. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. ISSN 1532-0626, 2020, vol., no., pp., Registrované v: WOS
  [1.1] PIO, P.B. - RIVOLLI, A. - DE CARVALHO, A.C.P.L.F. - GARCIA, L.P.F. A review on preprocessing algorithm selection with meta-learning. In KNOWLEDGE AND INFORMATION SYSTEMS. ISSN 0219-1377, 2023 AUG 28 2023. Dostupné na: https://doi.org/10.1007/s10115-023-01970-y, Registrované v: WOS
  [1.1] PLOU, Javier - VALERA, Pablo S. - GARCIA, Isabel - DE ALBUQUERQUE, Carlos D. L. - CARRACEDO, Arkaitz - LIZ-MARZAN, Luis M. Prospects of Surface-Enhanced Raman Spectroscopy for Biomarker Monitoring toward Precision Medicine. In ACS PHOTONICS. ISSN 2330-4022, 2022, vol. 9, no. 2, pp. 333-350. Dostupné na: https://doi.org/10.1021/acsphotonics.1c01934, Registrované v: WOS
  [1.1] PRIYANKARA, Prabath - RANAGALAGE, Manjula - DISSANAYAKE, D. M. S. L. B. - MORIMOTO, Takehiro - MURAYAMA, Yuji. Spatial Process of Surface Urban Heat Island in Rapidly Growing Seoul Metropolitan Area for Sustainable Urban Planning Using Landsat Data (1996-2017). In CLIMATE, 2019, vol. 7, no. 9, pp., Registrované v: WOS
  [1.1] PUDARUTH, Sameerchand - SOYJAUDAH, Sunjiv - GUNPUTH, Rajendra. Classification of Legislations using Deep Learning. In INTERNATIONAL ARAB JOURNAL OF INFORMATION TECHNOLOGY. ISSN 1683-3198, 2021, vol. 18, no. 5, pp. 651-662. Dostupné na: https://doi.org/10.34028/iajit/18/5/4, Registrované v: WOS
  [1.1] QIU, W.W. - YU, H.T. - TSAI, C.H. - ZHU, D. - CHEN, M.H. - KIM, H.J. Understanding the value of host-guest intimacy behind online reviews of Airbnb. In INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT. ISSN 0278-4319, OCT 2023, vol. 115. Dostupné na: https://doi.org/10.1016/j.ijhm.2023.103599, Registrované v: WOS
  [1.1] RAHAL, J.R. - SCHWARZ, A. - SAHELICES, B. - WEIS, R. - ANTóN, S.D. The asset administration shell as enabler for predictive maintenance: a review. In JOURNAL OF INTELLIGENT MANUFACTURING. ISSN 0956-5515, 2023 NOV 8 2023. Dostupné na: https://doi.org/10.1007/s10845-023-02236-8, Registrované v: WOS
  [1.1] RAJABIZADEH, Mahdi - REZGHI, Mansoor. A comparative study on image-based snake identification using machine learning. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2021, vol. 11, no. 1, pp. Dostupné na: https://doi.org/10.1038/s41598-021-96031-1, Registrované v: WOS
  [1.1] RANAGALAGE, Manjula - GUNARATHNA, M. H. J. P. - SURASINGHE, Thilina D. - DISSANAYAKE, Dmslb - SIMWANDA, Matamyo - MURAYAMA, Yuji - MORIMOTO, Takehiro - PHIRI, Darius - NYIRENDA, Vincent R. - PREMAKANTHA, K. T. - SATHURUSINGHE, Anura. Multi-Decadal Forest-Cover Dynamics in the Tropical Realm: Past Trends and Policy Insights for Forest Conservation in Dry Zone of Sri Lanka. In FORESTS, 2020, vol. 11, no. 8, pp., Registrované v: WOS
  [1.1] RANAGALAGE, Manjula - WANG, Ruci - GUNARATHNA, M. H. J. P. - DISSANAYAKE, D. M. S. L. B. - MURAYAMA, Yuji - SIMWANDA, Matamyo. Spatial Forecasting of the Landscape in Rapidly Urbanizing Hill Stations of South Asia: A Case Study of Nuwara Eliya, Sri Lanka (1996-2037). In REMOTE SENSING, 2019, vol. 11, no. 15, pp., Registrované v: WOS
  [1.1] RATHORE, Narendra Pal Singh - PRASAD, Lalji. A comprehensive review of deep learning models for plant disease identification and prediction. In INTERNATIONAL JOURNAL OF ENGINEERING SYSTEMS MODELLING AND SIMULATION. ISSN 1755-9758, 2021, vol. 12, no. 2-3, pp. 165-179., Registrované v: WOS
  [1.1] REIER FORRADELLAS, Ricardo Francisco - GARAY GALLASTEGUI, Luis Miguel. Digital Transformation and Artificial Intelligence Applied to Business: Legal Regulations, Economic Impact and Perspective. In LAWS, 2021, vol. 10, no. 3, pp. Dostupné na: https://doi.org/10.3390/laws10030070, Registrované v: WOS
  [1.1] REIMANN, L. - KNIESEL-WüNSCHE, G. Safe-DS: A Domain Specific Language to Make Data Science Safe. In 2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING-NEW IDEAS AND EMERGING RESULTS, ICSE-NIER. ISSN 2832-7624, 2023, p. 72-77. Dostupné na: https://doi.org/10.1109/ICSE-NIER58687.2023.00019, Registrované v: WOS
  [1.1] REN, Shao-Fei - ZHAO, Peng-Fei - WANG, Shi-Ping - LIU, Yong-Ze. Damage prediction of stiffened plates subjected to underwater contact explosion using the machine learning-based method. In OCEAN ENGINEERING, 2022, vol. 266, no., pp. ISSN 0029-8018. Dostupné na: https://doi.org/10.1016/j.oceaneng.2022.112839, Registrované v: WOS
  [1.1] REZAEE, Reza. Synthesizing Nuclear Magnetic Resonance (NMR) Outputs for Clastic Rocks Using Machine Learning Methods, Examples from North West Shelf and Perth Basin, Western Australia. In ENERGIES, 2022, vol. 15, no. 2, pp. Dostupné na: https://doi.org/10.3390/en15020518, Registrované v: WOS
  [1.1] RIGON, Riccardo - FORMETTA, Giuseppe - BANCHERI, Marialaura - TUBINI, Niccolo - D'AMATO, Concetta - DAVID, Olaf - MASSARI, Christian. HESS Opinions: Participatory Digital eARth Twin Hydrology systems (DARTHs) for everyone a blueprint for hydrologists. In HYDROLOGY AND EARTH SYSTEM SCIENCES, 2022, vol. 26, no. 18, pp. 4773-4800. ISSN 1027-5606. Dostupné na: https://doi.org/10.5194/hess-26-4773-2022, Registrované v: WOS
  [1.1] RITHANI, M. - KUMAR, R.P. - DOSS, S. A review on big data based on deep neural network approaches. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, DEC 2023, vol. 56, no. 12, p. 14765-14801. Dostupné na: https://doi.org/10.1007/s10462-023-10512-5, Registrované v: WOS
  [1.1] RIVAS-BLANCO, Irene - PEREZ-DEL-PULGAR, Carlos J. - GARCIA-MORALES, Isabel - MUNOZ, Victor F. A Review on Deep Learning in Minimally Invasive Surgery. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 48658-48678., Registrované v: WOS
  [1.1] RODIC, Lea Dujic - ZUPANOVIC, Tomislav - PERKOVIC, Toni - SOLIC, Petar - RODRIGUES, Joel J. P. C. Machine Learning and Soil Humidity Sensing: Signal Strength Approach. In ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2022, vol. 22, no. 2, pp. ISSN 1533-5399. Dostupné na: https://doi.org/10.1145/3418207, Registrované v: WOS
  [1.1] ROHRMANSTORFER, Stefan - KOMAROV, Mikhail - MOEDRITSCHER, Felix. Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data. In MATHEMATICS, 2021, vol. 9, no. 6, pp., Registrované v: WOS
  [1.1] ROSENDO, Daniel - COSTAN, Alexandru - VALDURIEZ, Patrick - ANTONIU, Gabriel. Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review. In JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2022, vol. 166, no., pp. 71-94. ISSN 0743-7315. Dostupné na: https://doi.org/10.1016/j.jpdc.2022.04.004, Registrované v: WOS
  [1.1] SABRY, Farida - ELTARAS, Tamer - LABDA, Wadha - ALZOUBI, Khawla - MALLUHI, Qutaibah. Machine Learning for Healthcare Wearable Devices: The Big Picture. In JOURNAL OF HEALTHCARE ENGINEERING, 2022, vol. 2022, no., pp. ISSN 2040-2295. Dostupné na: https://doi.org/10.1155/2022/4653923, Registrované v: WOS
  [1.1] SAHA, Ashirbani - TSO, Samantha - RABSKI, Jessica - SADEGHIAN, Alireza - CUSIMANO, Michael D. Machine learning applications in imaging analysis for patients with pituitary tumors: a review of the current literature and future directions. In PITUITARY. ISSN 1386-341X, 2020, vol. 23, no. 3, pp. 273-293., Registrované v: WOS
  [1.1] SEDGHI, Leila - IJAZ, Zohaib - NOOR-A-RAHIM, Md - WITHEEPHANICH, Kritchai - PESCH, Dirk. Machine Learning in Event-Triggered Control: Recent Advances and Open Issues. In IEEE ACCESS, 2022, vol. 10, no., pp. 74671-74690. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3191343, Registrované v: WOS
  [1.1] SHI, Qiongfeng - DONG, Bowei - HE, Tianyiyi - SUN, Zhongda - ZHU, Jianxiong - ZHANG, Zixuan - LEE, Chengkuo. Progress in wearable electronics/photonics-Moving toward the era of artificial intelligence and internet of things. In INFOMAT, 2020, vol., no., pp., Registrované v: WOS
  [1.1] SHI, Yong - LI, Bo - LONG, Wen - DAI, Wei. Method for Improving the Performance of Technical Analysis Indicators By Neural Network Models. In COMPUTATIONAL ECONOMICS. ISSN 0927-7099, 2021, vol., no., pp., Registrované v: WOS
  [1.1] SIENKIEWICZ-MALYJUREK, K. Whether AI adoption challenges matter for public managers? The case of Polish cities. In GOVERNMENT INFORMATION QUARTERLY. ISSN 0740-624X, JUN 2023, vol. 40, no. 3. Dostupné na: https://doi.org/10.1016/j.giq.2023.101828, Registrované v: WOS
  [1.1] SINGH, Neelam - SINGH, Devesh Pratap - PANT, Bhasker. Big Data Knowledge Discovery as a Service: Recent Trends and Challenges. In WIRELESS PERSONAL COMMUNICATIONS. ISSN 0929-6212, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1007/s11277-021-09213-5, Registrované v: WOS
  [1.1] SINGH, Nehul - CHOUHAN, Satyendra Singh. Role of Artificial Intelligence for Development of Intelligent Business Systems. In 2021 IEEE INTERNATIONAL SYMPOSIUM ON SMART ELECTRONIC SYSTEMS (ISES 2021), 2021, vol., no., pp. 373-377. Dostupné na: https://doi.org/10.1109/iSES52644.2021.00092, Registrované v: WOS
  [1.1] SINGH, Nitu - MALIK, Sunny - GUPTA, Anvita - SRIVASTAVA, Kinshuk Raj. Revolutionizing enzyme engineering through artificial intelligence and machine learning. In EMERGING TOPICS IN LIFE SCIENCES. ISSN 2397-8554, 2021, vol. 5, no. 1, pp. 113-125., Registrované v: WOS
  [1.1] SOHAIL, Muhammad Umer - HAMDANI, Hossein Raza - ISLAM, Asad - PARVEZ, Khalid - KHAN, Abdul Munem - ALLAUDDIN, Usman - KHURRAM, Muhammad - ELAHI, Hassan. Prediction of Non-Uniform Distorted Flows, Effects on Transonic Compressor Using CFD, Regression Analysis and Artificial Neural Networks. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 8, pp., Registrované v: WOS
  [1.1] SONG, Hwanjun - KIM, Minseok - PARK, Dongmin - SHIN, Yooju - LEE, Jae-Gil. Learning From Noisy Labels With Deep Neural Networks: A Survey. In IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. ISSN 2162-237X, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1109/TNNLS.2022.3152527, Registrované v: WOS
  [1.1] SOULA, Madalena - KARANIKA, Anna - KOLOMVATSOS, Kostas - ANAGNOSTOPOULOS, Christos - STAMOULIS, George. Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms. In EVOLVING SYSTEMS. ISSN 1868-6478, 2021, vol., no., pp., Registrované v: WOS
  [1.1] SUN, Xiaoyong - SU, Shaojing - WEI, Junyu - GUO, Xiaojun - TAN, Xiaopeng. Monitoring of OSNR Using an Improved Binary Particle Swarm Optimization and Deep Neural Network in Coherent Optical Systems. In PHOTONICS, 2019, vol. 6, no. 4, pp., Registrované v: WOS
  [1.1] SUNDAR, Harshavardhan - WANG, Weiran - SUN, Ming - WANG, Chao. RAW WAVEFORM BASED END-TO-END DEEP CONVOLUTIONAL NETWORK FOR SPATIAL LOCALIZATION OF MULTIPLE ACOUSTIC SOURCES. In 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING. ISSN 1520-6149, 2020, vol., no., pp. 4642-4646., Registrované v: WOS
  [1.1] TALEBKHAH, M. - SALI, A. - GORDAN, M. - HASHIM, S.J. - ROKHANI, F.Z. Comprehensive Review on Development of Smart Cities Using Industry 4.0 Technologies. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 91981-92030. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3302262, Registrované v: WOS
  [1.1] TARIQ, Muhammad Usman - POULIN, Marc - ABONAMAH, Abdullah A. Achieving Operational Excellence Through Artificial Intelligence: Driving Forces and Barriers. In FRONTIERS IN PSYCHOLOGY. ISSN 1664-1078, 2021, vol. 12, no., pp., Registrované v: WOS
  [1.1] TAWIAH, Thomas Andzi-Quainoo. A review of algorithms and techniques for image-based recognition and inference in mobile robotic systems. In INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS. ISSN 1729-8814, 2020, vol. 17, no. 6, pp., Registrované v: WOS
  [1.1] TIAN, W.D. - QU, J. - LIU, B. - CUI, Z. - HU, M.G. Parameter prediction of oilfield gathering station reservoir based on feature selection and long short-term memory network. In MEASUREMENT. ISSN 0263-2241, JAN 2023, vol. 206. Dostupné na: https://doi.org/10.1016/j.measurement.2022.112317, Registrované v: WOS
  [1.1] TOGACAR, Mesut - COMERT, Zafer - ERGEN, Burhan. Enhancing of dataset using DeepDream, fuzzy color image enhancement and hypercolumn techniques to detection of the Alzheimer's disease stages by deep learning model. In NEURAL COMPUTING & APPLICATIONS. ISSN 0941-0643, 2021, vol., no., pp., Registrované v: WOS
  [1.1] TORRES, Jose F. - HADJOUT, Dalil - SEBAA, Abderrazak - MARTINEZ-ALVAREZ, Francisco - TRONCOSO, Alicia. Deep Learning for Time Series Forecasting: A Survey. In BIG DATA. ISSN 2167-6461, 2020, vol., no., pp., Registrované v: WOS
  [1.1] TRIPATHI, Manish Kumar - NATH, Abhigyan - SINGH, Tej P. - ETHAYATHULLA, A. S. - KAUR, Punit. Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery. In MOLECULAR DIVERSITY. ISSN 1381-1991, 2021, vol. 25, no. 3, pp. 1439-1460., Registrované v: WOS
  [1.1] TRUONG, Hong-Linh - NGUYEN, Tri-Minh. QoA4ML-A Framework for Supporting Contracts in Machine Learning Services. In 2021 IEEE INTERNATIONAL CONFERENCE ON WEB SERVICES, ICWS 2021, 2021, vol., no., pp. 465-475. Dostupné na: https://doi.org/10.1109/ICWS53863.2021.00066, Registrované v: WOS
  [1.1] TULBURE, Mirela G. - HOSTERT, Patrick - KUEMMERLE, Tobias - BROICH, Mark. Regional matters: On the usefulness of regional land-cover datasets in times of global change. In REMOTE SENSING IN ECOLOGY AND CONSERVATION, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1002/rse2.248, Registrované v: WOS
  [1.1] UL ALAM, Mahbub - RAHMANI, Rahim. Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application. In SENSORS, 2021, vol. 21, no. 15, pp., Registrované v: WOS
  [1.1] VANOEFFELEN, Margo - NGUYEN, Marcus - AYTAN-AKTUG, Derya - BRETTIN, Thomas - DIETRICH, Emily M. - KENYON, Ronald W. - MACHI, Dustin - MAO, Chunhong - OLSON, Robert - PUSCH, Gordon D. - SHUKLA, Maulik - STEVENS, Rick - VONSTEIN, Veronika - WARREN, Andrew S. - WATTAM, Alice R. - YOO, Hyunseung - DAVIS, James J. A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes. In BRIEFINGS IN BIOINFORMATICS, 2021, vol. 22, no. 6, pp. ISSN 1467-5463. Dostupné na: https://doi.org/10.1093/bib/bbab313, Registrované v: WOS
  [1.1] VINOD, B. Artificial Intelligence in travel. In JOURNAL OF REVENUE AND PRICING MANAGEMENT. ISSN 1476-6930, 2021, vol., no., pp., Registrované v: WOS
  [1.1] WANG, Bo - MA, Sheng - LIU, Zhong - HUANG, Libo - YUAN, Yuan - DAI, Yi. SADD: A Novel Systolic Array Accelerator with Dynamic Dataflow for Sparse GEMM in Deep Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022-01-01, 13615 LNCS, pp. 42-53. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-21395-3_4, Registrované v: WOS
  [1.1] WANG, Hanxiang - LI, Yanfen - DANG, L. Minh - KO, Jaesung - HAN, Dongil - MOON, Hyeonjoon. Smartphone-based bulky waste classification using convolutional neural networks. In MULTIMEDIA TOOLS AND APPLICATIONS. ISSN 1380-7501, 2020, vol., no., pp., Registrované v: WOS
  [1.1] WANG, Hei-Chia - HSIAO, Wei-Ching - CHANG, Sheng-Han. Automatic paper writing based on a RNN and the TextRank algorithm. In APPLIED SOFT COMPUTING. ISSN 1568-4946, 2020, vol. 97, no., pp., Registrované v: WOS
  [1.1] WANG, Min - LV, Zhihan. Construction of personalized learning and knowledge system of chemistry specialty via the internet of things and clustering algorithm. In JOURNAL OF SUPERCOMPUTING. ISSN 0920-8542, 2022, vol., no., pp. Dostupné na: https://doi.org/10.1007/s11227-022-04315-8, Registrované v: WOS
  [1.1] WANG, Qiang - CHEN, Long - ZHAO, Jun - WANG, Wei. A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2020, vol., no., pp., Registrované v: WOS
  [1.1] WANG, Tinghua - ZHANG, Lin - HU, Wenyu. Bridging deep and multiple kernel learning: A review. In INFORMATION FUSION. ISSN 1566-2535, 2021, vol. 67, no., pp. 3-13., Registrované v: WOS
  [1.1] WANG, Wenle - CHEN, Jinquan - ZHU, Yujie - FENG, Feng. Activity prediction of aminoquinoline drugs based on deep learning. In BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY. ISSN 0885-4513, 2020, vol., no., pp., Registrované v: WOS
  [1.1] WANG, Yao. Financial Early Warning Model for Listed Companies Based on the Smart Sensor Data Network. In JOURNAL OF SENSORS, 2022, vol. 2022, no., pp. ISSN 1687-725X. Dostupné na: https://doi.org/10.1155/2022/7666354, Registrované v: WOS
  [1.1] WEI, Zheng - HE, Qiu - ZHAO, Yan. Machine learning for battery research. In JOURNAL OF POWER SOURCES, 2022, vol. 549, no., pp. ISSN 0378-7753. Dostupné na: https://doi.org/10.1016/j.jpowsour.2022.232125, Registrované v: WOS
  [1.1] WOO, M. - JORDAN, T. - NANDI, T. - DIETIKER, J.F. - GUENTHER, C. - VAN ESSENDELFT, D. Development of an equation-based parallelization method for multiphase particle-in-cell simulations. In ENGINEERING WITH COMPUTERS. ISSN 0177-0667, MAR 2023, vol. 39, no. 5, p. 3577-3591. Dostupné na: https://doi.org/10.1007/s00366-022-01768-6, Registrované v: WOS
  [1.1] WU, Xiongfei - YANG, Jinqiu - MA, Lei - XUE, Yinxing - ZHAO, Jianjun. On the usage and development of deep learning compilers: an empirical study on TVM. In EMPIRICAL SOFTWARE ENGINEERING, 2022, vol. 27, no. 7, pp. ISSN 1382-3256. Dostupné na: https://doi.org/10.1007/s10664-022-10221-7, Registrované v: WOS
  [1.1] WU, Yingli - TONG, Guangji. The evaluation of agricultural enterprise's innovative borrowing capacity based on deep learning and BP neural network. In INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT. ISSN 0975-6809, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1007/s13198-021-01462-8, Registrované v: WOS
  [1.1] XIE, Ming - ZHANG, Zhenduo - ZHENG, Wenbo - LI, Ying - CAO, Kai. Multi-Frame Star Image Denoising Algorithm Based on Deep Reinforcement Learning and Mixed Poisson-Gaussian Likelihood. In SENSORS, 2020, vol. 20, no. 21, pp., Registrované v: WOS
  [1.1] XU, Chunbo. Random Matrix-Based Multivariate Statistical Analysis of Enterprises in a Distributed Environment Human Resource Management. In MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, vol. 2022, no., pp. ISSN 1024-123X. Dostupné na: https://doi.org/10.1155/2022/7020190, Registrované v: WOS
  [1.1] XU, H.H. - LI, W. - CAI, Z.P. Analysis on methods to effectively improve transfer learning performance. In THEORETICAL COMPUTER SCIENCE. ISSN 0304-3975, JAN 9 2023, vol. 940, B, p. 90-107. Dostupné na: https://doi.org/10.1016/j.tcs.2022.09.023, Registrované v: WOS
  [1.1] YANG, Hang - HU, Xin-Rong - SUN, Ling - HONG, Dian - ZHENG, Ying-Yi - XIN, Ying - LIU, Hui - LIN, Min-Yin - WEN, Long - LIANG, Dong-Po - WANG, Shu-Shui. Automated Facial Recognition for Noonan Syndrome Using Novel Deep Convolutional Neural Network With Additive Angular Margin Loss. In FRONTIERS IN GENETICS, 2021, vol. 12, no., pp., Registrované v: WOS
  [1.1] YOUSAF, Adnan - ASIF, Rao Muhammad - SHAKIR, Mustafa - REHMAN, Ateeq Ur - S. ADREES, Mohmmed. An Improved Residential Electricity Load Forecasting Using a Machine-Learning-Based Feature Selection Approach and a Proposed Integration Strategy. In SUSTAINABILITY, 2021, vol. 13, no. 11, pp., Registrované v: WOS
  [1.1] ZALEHA, S. H. - ITHNIN, Nora - WAHAB, Nur Haliza Abdul - SUNAR, Noorhazirah. Intelligent Locking System using Deep Learning for Autonomous Vehicle in Internet of Things. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, vol. 12, no. 10, pp. 565-578. ISSN 2158-107X., Registrované v: WOS
  [1.1] ZEINALPOUR, Alireza - AHMED, Hassan A. Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method. In ELECTRONICS, 2022, vol. 11, no. 17, pp. Dostupné na: https://doi.org/10.3390/electronics11172736, Registrované v: WOS
  [1.1] ZENG, L.X. - LIU, L. - CHEN, D.X. - LU, H.H. - XUE, Y. - BI, H.J. - YANG, W.W. The innovative model based on artificial intelligence algorithms to predict recurrence risk of patients with postoperative breast cancer. In FRONTIERS IN ONCOLOGY. ISSN 2234-943X, MAR 7 2023, vol. 13. Dostupné na: https://doi.org/10.3389/fonc.2023.1117420, Registrované v: WOS
  [1.1] ZEYDAN, Engin - MANGUES-BAFALLUY, Josep. Recent Advances in Data Engineering for Networking. In IEEE ACCESS. ISSN 2169-3536, 2022, vol. 10, no., pp. 34449-34496. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3162863, Registrované v: WOS
  [1.1] ZHANG, B.Q. - LIU, T.Y. - LIANG, P. - WANG, C. - SHAHIN, M. - YU, J.X. Architecture Decisions in AI -based Systems Development: An Empirical Study. In 2023 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ANALYSIS, EVOLUTION AND REENGINEERING, SANER. ISSN 1534-5351, 2023, p. 616-626. Dostupné na: https://doi.org/10.1109/SANER56733.2023.00063, Registrované v: WOS
  [1.1] ZHANG, C.S. - DIAO, C.Y. A Phenology-guided Bayesian-CNN (PB-CNN) framework for soybean yield estimation and uncertainty analysis. In ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING. ISSN 0924-2716, NOV 2023, vol. 205, p. 50-73. Dostupné na: https://doi.org/10.1016/j.isprsjprs.2023.09.025, Registrované v: WOS
  [1.1] ZHANG, W. - LI, R. - ZHAO, J.P. - WANG, J.W. - MENG, X.Y. - LI, Q. Miss-gradient boosting regression tree: a novel approach to imputing water treatment data. In APPLIED INTELLIGENCE. ISSN 0924-669X, OCT 2023, vol. 53, no. 19, p. 22917-22937. Dostupné na: https://doi.org/10.1007/s10489-023-04828-6, Registrované v: WOS
  [1.1] ZHANG, Wengang - LI, Hongrui - LI, Yongqin - LIU, Hanlong - CHEN, Yumin - DING, Xuanming. Application of deep learning algorithms in geotechnical engineering: a short critical review. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2021, vol., no., pp., Registrované v: WOS
  [1.1] ZHANG, X.L. - DONG, X.L. - SARIPAN, M.I.B. - DU, D.Y. - WU, Y.J. - WANG, Z.X. - CAO, Z.D. - WEN, D. - LIU, Y.L. - MARHABAN, M.H. Deep learning PET/CT-based radiomics integrates clinical data: A feasibility study to distinguish between tuberculosis nodules and lung cancer. In THORACIC CANCER. ISSN 1759-7706, JUL 2023, vol. 14, no. 19, p. 1802-1811. Dostupné na: https://doi.org/10.1111/1759-7714.14924, Registrované v: WOS
  [1.1] ZHANG, Y.F. Large Data Oriented to Image Information Fusion Spark and Improved Fruit Fly Optimization Based on the Density Clustering Algorithm. In ADVANCES IN MULTIMEDIA. ISSN 1687-5680, MAR 27 2023, vol. 2023. Dostupné na: https://doi.org/10.1155/2023/5596605, Registrované v: WOS
  [1.1] ZHANG, Zejun - YANG, Yanming - XIA, Xin - LO, David - REN, Xiaoxue - GRUNDY, John. Unveiling the Mystery of API Evolution in Deep Learning Frameworks A Case Study of Tensorflow 2. In 2021 IEEE/ACM 43RD INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING IN PRACTICE (ICSE-SEIP 2021), 2021, vol., no., pp. 238-247. Dostupné na: https://doi.org/10.1109/ICSE-SEIP52600.2021.00033, Registrované v: WOS
  [1.1] ZHIQIANG, Liu - MOHI-UD-DIN, Ghulam - JIANGBIN, Zheng - SIFEI, Wang - ASIM, Muhammad. A novel deep learning based security assessment framework for enhanced security in swarm network environment. In INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2022, vol. 38, no., pp. ISSN 1874-5482. Dostupné na: https://doi.org/10.1016/j.ijcip.2022.100540, Registrované v: WOS
  [1.1] ZHU, Y.M. - WANG, M. - YIN, X.F. - ZHANG, J. - MEIJERING, E. - HU, J.K. Deep Learning in Diverse Intelligent Sensor Based Systems. In SENSORS. JAN 2023, vol. 23, no. 1. Dostupné na: https://doi.org/10.3390/s23010062, Registrované v: WOS
  [1.1] ZHU, Yu. The prediction model of personality in social networks by using data mining deep learning algorithm and random walk model. In INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING EDUCATION. ISSN 0020-7209, 2020, vol., no., pp., Registrované v: WOS
  [1.1] ZHUANG, Haoming - LIU, Xiaoping - LIANG, Xun - YAN, Yuchao - HE, Jinqiang - CAI, Yiling - WU, Changjiang - ZHANG, Xinchang - ZHANG, Honghui. Tensor-CA: A high-performance cellular automata model for land use simulation based on vectorization and GPU. In TRANSACTIONS IN GIS. ISSN 1361-1682, 2022, vol. 26, no. 2, pp. 755-778. Dostupné na: https://doi.org/10.1111/tgis.12881, Registrované v: WOS
  [1.1] ZHUANG, Haoming - LIU, Xiaoping - YAN, Yuchao - OU, Jinpei - HE, Jialyu - WU, Changjiang. Mapping Multi-Temporal Population Distribution in China from 1985 to 2010 Using Landsat Images via Deep Learning. In REMOTE SENSING, 2021, vol. 13, no. 17, pp., Registrované v: WOS
  [1.1] ZILBOVICIUS, Mauro - PIQUEIRA, JosE Roberto C. - SZNELVAR, Laerte. Complexity engineering: New ideas for engineering design and engineering education. In ANAIS DA ACADEMIA BRASILEIRA DE CIENCIAS. ISSN 0001-3765, 2020, vol. 92, no. 3, pp., Registrované v: WOS
  [1.2] ABDIKERIMOVA, Gulzira - YESSENOVA, Moldir - YERZHANOVA, Akbota - MANBETOVA, Zhanat - MURZABEKOVA, Gulden - KAIBASSOVA, Dinara - BEKBAYEVA, Roza - ALDASHOVA, Madina. Applying textural Law’s masks to images using machine learning. In International Journal of Electrical and Computer Engineering, 2023-10-01, 13, 5, pp. 5569-5575. ISSN 20888708. Dostupné na: https://doi.org/10.11591/ijece.v13i5.pp5569-5575, Registrované v: SCOPUS
  [1.2] ABDULBAQI, Azmi Shawkat - AL NAFFAKH, Hussein Ali Hussein - AL-JUBOORI, Sura Abdulmunem Mohammed - RADHI, Ahmed Dheyaa - TAWFEQ, Jamal Fadhil - JOSEPHNG, Poh Soon. Exploring the potential of offline cryptography techniques for securing ECG signals in healthcare. In Periodicals of Engineering and Natural Sciences, 2023-05-01, 11, 3, pp. 148-154. Dostupné na: https://doi.org/10.21533/pen.v11i3.3604.g1298, Registrované v: SCOPUS
  [1.2] ADEBIYI, Marion O. - FATINIKUN-OLANIYAN, Deborah - OSANG, Francis - ADEBIYI, Abayomi A. Quantum Theory Approach to Performance Enhancement in Machine Learning. In 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals, SEB-SDG 2023, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/SEB-SDG57117.2023.10124582, Registrované v: SCOPUS
  [1.2] ADEDOJA, A. O. - OWOLAWI, P. A. - MAPAYI, T. - TU, Chunling. Intelligent Mobile Plant Disease Diagnostic System Using NASNet-Mobile Deep Learning. In IAENG International Journal of Computer Science. ISSN 1819656X, 2022-01-01, 49, 1, pp. 216-231., Registrované v: SCOPUS
  [1.2] ADEDOJA, Adedamola O. - OWOLAWI, Pius A. - MAPAYI, Temitope - TU, Chunling. Progress on Deep Learning Models for Plant Disease Detection: A Survey. In icABCD 2021 4th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, Proceedings, 2021-08-05, pp. Dostupné na: https://doi.org/10.1109/icABCD51485.2021.9519323, Registrované v: SCOPUS
  [1.2] AHMADI, Sadra - GHORBANLOO, Sanaz. Review and Prioritization of the Risks Affecting the Use of Organizational Big Data. In Iranian Journal of Information Processing and Management, 2022-06-01, 37, 4, pp. 1183-1216. ISSN 22518223. Dostupné na: https://doi.org/10.35050/JIPM010.2022.007, Registrované v: SCOPUS
  [1.2] AHMADI, Sadra - GHORBANLOO, Sanaz. Review and Prioritization of the Risks Affecting the Use of Organizational Big Data. In Iranian Journal of Information Processing and Management, 2022-06-01, 37, 4, pp. 1183-1216. ISSN 22518223. Dostupné na: https://doi.org/10.35050/JIPM010.2022.007, Registrované v: SCOPUS
  [1.2] AHMED, Rania Salih - AHMED, Elmustafa Sayed Ali - SAEED, Rashid A. Machine learning in cyber-physical systems in industry 4.0. In Artificial Intelligence Paradigms for Smart Cyber-Physical Systems, 2020-11-13, pp. 20-41. Dostupné na: https://doi.org/10.4018/978-1-7998-5101-1.ch002, Registrované v: SCOPUS
  [1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam - FOURNIER-VIGER, Philippe. A Transaction Classification Model of Federated Learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2021-01-01, 12798 LNAI, pp. 509-518., Registrované v: SCOPUS
  [1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam. Deep Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. In ACM Transactions on Sensor Networks, 2023-03-01, 19, 3, pp. ISSN 15504859. Dostupné na: https://doi.org/10.1145/3519304, Registrované v: SCOPUS
  [1.2] AHMED, Usman - LIN, Jerry Chun Wei - SRIVASTAVA, Gautam. Hyper-Graph Attention Based Federated Learning Method For Mental Health Detection. In IEEE Journal of Biomedical and Health Informatics, 2022-01-01, pp. ISSN 21682194. Dostupné na: https://doi.org/10.1109/JBHI.2022.3172269, Registrované v: SCOPUS
  [1.2] AJEL, Salwa - RIBEIRO, Francisco - EJBALI, Ridha - SARAIVA, João. Energy Efficiency of Python Machine Learning Frameworks. In Lecture Notes in Networks and Systems, 2023-01-01, 715 LNNS, pp. 586-595. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-3-031-35507-3_57, Registrované v: SCOPUS
  [1.2] AJHARI, Abdul Azzam - NEGARA, I. Gede Putra Kusuma. Aircraft Flight Movement Anomaly Detection using Automatic Dependent Surveillance-Broadcast. In International Journal on Informatics Visualization, 2022-01-01, 6, 4, pp. 821-828. Dostupné na: https://doi.org/10.30630/joiv.6.4.948, Registrované v: SCOPUS
  [1.2] ALHO, Riku - RAATIKAINEN, Mikko - NURMINEN, Jukka K. - MYLLYAHO, Lalli - LWAKATARE, Lucy Ellen. Systematic Mapping Study on Use of Pre-Trained Open Machine Learning Models. In CEUR Workshop Proceedings, 2023-01-01, 3506, pp. 36-47. ISSN 16130073., Registrované v: SCOPUS
  [1.2] ALJANABI, Mohammad - HAYDER, Russul - TALIB, Shatha - ALI, Ahmed Hussein - MOHAMMED, Mostafa Abdulghafoor - SUTIKNO, Tole. Distributed denial of service attack defense system-based auto machine learning algorithm. In Bulletin of Electrical Engineering and Informatics, 2023-02-01, 12, 1, pp. 544-551. ISSN 20893191. Dostupné na: https://doi.org/10.11591/eei.v12i1.4537, Registrované v: SCOPUS
  [1.2] ALODAT, Mohammad. Analyzing CT Scan Images Using Deep Transfer Learning for Patients with Covid-19 Disease. In Lecture Notes in Electrical Engineering. ISSN 18761100, 2022-01-01, 784 LNEE, pp. 71-78., Registrované v: SCOPUS
  [1.2] ALODAT, Mohammad. Deep Transfer Learning and Intelligent Item Packing in Retail Management. In Lecture Notes in Electrical Engineering, 2023-01-01, 946, pp. 41-52. ISSN 18761100. Dostupné na: https://doi.org/10.1007/978-981-19-5868-7_4, Registrované v: SCOPUS
  [1.2] ALSHAMARY, Haider Ali Jasim - ABDULLAH, Ahmad Sulaiman - HBEEB, Sadeq Adnan. Nearest-neighbor field algorithm based on patchMatch for myocardial perfusion motion estimation/correction. In Bulletin of Electrical Engineering and Informatics, 2023-04-01, 12, 2, pp. 843-850. ISSN 20893191. Dostupné na: https://doi.org/10.11591/eei.v12i2.4216, Registrované v: SCOPUS
  [1.2] AMIRUDDIN, Brilian Putra - ISKANDAR, Eka - FATONI, Ali - SANTOSO, Ari. Deep Learning based System Identification of Quadcopter Unmanned Aerial Vehicle. In 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 2020-11-24, pp. 165-169., Registrované v: SCOPUS
  [1.2] ANDONO, Pulung Nurtantio - SUPRIYANTO, Catur. Keypoints class distribution based entropy for weighting scheme on image classification. In Journal of King Saud University Computer and Information Sciences, 2022-11-01, 34, 10, pp. 9028-9038. ISSN 13191578. Dostupné na: https://doi.org/10.1016/j.jksuci.2022.08.027, Registrované v: SCOPUS
  [1.2] ANH, Truong Tran Mai - VI, Tran Duc. Hybrid Genetic-Bees Algorithm in Multi-layer Perceptron Optimization. In Lecture Notes in Networks and Systems, 2023-01-01, 552, pp. 145-157. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-19-6634-7_11, Registrované v: SCOPUS
  [1.2] ANISUZZAMAN, B. M. - SIDDIQUE, Ashfaquer Rahat - AL MAMUN, Tareq - JALAL JAMIL, Md Shah - HOSSAIN MUKTA, Md Saddam. Deep Learning in Mining Business Intelligence. In 2022 IEEE Region 10 Symposium, TENSYMP 2022, 2022-01-01, pp. Dostupné na: https://doi.org/10.1109/TENSYMP54529.2022.9864444, Registrované v: SCOPUS
  [1.2] ANURADHA JAYAKODY, J. A.D.C. - KARUNANAYAKE, S. A.H.M. - EKANAYAKE, E. M.C.S. - DIKKUBURA, H. K.T.M. - BANDARA, L. A.I.M. 'iParking' Smart way to automate the management of the parking system for a smart city. In ICAC 2020 2nd International Conference on Advancements in Computing, Proceedings, 2020-12-10, pp. 49-54., Registrované v: SCOPUS
  [1.2] AWE, O. Olawale - OLADEJI, Tolulope Adedoyin - ADEYEMO, Barnabas Timilehin - OLOWOOKERE, Oluwaseyifunmi Paul - AMINU, Folashade Folake - ABIONA, Oluwafemi Samson - AKINTOLA, Kunle Adediran - AYENI, Emmanuel Ola. Exploring Practical Applications and Python Code Snippets for Supervised Machine Learning Classification Algorithms. In STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics and Health, 2023-01-01, part F2078, pp. 213-246. ISSN 2520193X. Dostupné na: https://doi.org/10.1007/978-3-031-41352-0_12, Registrované v: SCOPUS
  [1.2] AWOTUNDE, Joseph Bamdele - CHAKRABORTY, Chinmay - ABDULRAHEEM, Muyideen - JIMOH, Rasheed Gbenga - OLADIPO, Idowu Dauda - BHOI, Akash Kumar. Internet of medical things for enhanced smart healthcare systems. In Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain, 2022-01-01, pp. 1-28. Dostupné na: https://doi.org/10.1016/B978-0-323-91916-6.00009-6, Registrované v: SCOPUS
  [1.2] AWUJOOLA, Olalekan J. - OGWUELEKA, Francisca N. - IRHEBHUDE, Martins E. - MISRA, Sanjay. Wrapper Based Approach for Network Intrusion Detection Model with Combination of Dual Filtering Technique of Resample and SMOTE. In Studies in Computational Intelligence. ISSN 1860949X, 2021-01-01, 972, pp. 139-167., Registrované v: SCOPUS
  [1.2] AZEROUAL, Otmane - SCHÖPFEL, Joachim - PÖLÖNEN, Janne - NIKIFOROVA, Anastasija. Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. In International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K Proceedings, 2022-01-01, 3, pp. 63-71., Registrované v: SCOPUS
  [1.2] BHUIYAN, Md Roman - ABDULLAH, Junaidi - HASHIM, Noramiza - FARID, Fahmid Al - SAMSUDIN, Mohd Ali - ABDULLAH, Norra - UDDIN, Jia. Hajj pilgrimage video analytics using cnn. In Bulletin of Electrical Engineering and Informatics. ISSN 20893191, 2021-10-01, 10, 5, pp. 2598-2606. Dostupné na: https://doi.org/10.11591/eei.v10i5.2361, Registrované v: SCOPUS
  [1.2] BLAKE, Scott. GENERATING GOOD DATA FOR AI-BASED AUTOMATIC INSPECTION AND REMEDIATION OF LARGE-SCALE COMPOSITE COMPONENTS. In International SAMPE Technical Conference, 2023-01-01, 2023-April, pp. Dostupné na: https://doi.org/10.33599/nasampe/s.23.0149, Registrované v: SCOPUS
  [1.2] BOUBERTAKH, Oumeima - MAAMRI, Ramdane - SAHNOUN, Ali. An overview of machine and deep learning-based intrusion detection systems in the Internet of Things. In CEUR Workshop Proceedings, 2023-01-01, 3616, pp. 47-58. ISSN 16130073., Registrované v: SCOPUS
  [1.2] BRACKMANN, Clemens - HÜTSCH, Marek - WULFERT, Tobias. Identifying Application Areas for Machine Learning in the Retail Sector: A Literature Review and Interview Study. In SN Computer Science, 2023-09-01, 4, 5, pp. ISSN 2662995X. Dostupné na: https://doi.org/10.1007/s42979-023-01888-w, Registrované v: SCOPUS
  [1.2] CAO, Guoyuan - ZENG, Keming. Design of Digital Museum Narrative Space Based on Perceptual Experience Data Mining and Computer Vision. In Proceedings International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021, 2021-03-25, pp. 444-448., Registrované v: SCOPUS
  [1.2] CARDOSO SILVA, Lucas - REZENDE ZAGATTI, Fernando - SILVA SETTE, Bruno - NILDAIMON DOS SANTOS SILVA, Lucas - LUCREDIO, Daniel - FURTADO SILVA, Diego - DE MEDEIROS CASELI, Helena. Benchmarking Machine Learning Solutions in Production. In Proceedings 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, 2020-12-01, pp. 626-633., Registrované v: SCOPUS
  [1.2] CARLSON, Caleb - WARUSHAVITHANA, Menuka - MITRA, Saptashwa - BARRAM, Kassidy - GHOSH, Sudipto - BREIDT, Jay - PALLICKARA, Sangmi Lee - PALLICKARA, Shrideep. Resource Efficient Profiling of Spatial Variability in Performance of Regression Models. In Proceedings 2022 IEEE International Conference on Big Data, Big Data 2022, 2022-01-01, pp. 437-444. Dostupné na: https://doi.org/10.1109/BigData55660.2022.10020602, Registrované v: SCOPUS
  [1.2] CASTRILLO, María - GARCÍA, Álvaro López. Estimation of high frequency nutrient concentrations from water quality surrogates using machine learning methods. In Water Research, 2020-04-01, 172, pp. ISSN 00431354. Dostupné na: https://doi.org/10.1016/j.watres.2020.115490, Registrované v: SCOPUS
  [1.2] CHANDRA, Abel - SHARMA, Alok - DEHZANGI, Iman - TSUNODA, Tatsuhiko - SATTAR, Abdul. PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features. In Scientific Reports, 2023-12-01, 13, 1, pp. Dostupné na: https://doi.org/10.1038/s41598-023-47624-5, Registrované v: SCOPUS
  [1.2] CHAUDHARY, Anmol - CHOUHAN, Kuldeep Singh - GAJRANI, Jyoti - SHARMA, Bhavna. Deep learning with PyTorch. In Machine Learning and Deep Learning in Real-Time Applications, 2020-04-24, pp. 61-95. Dostupné na: https://doi.org/10.4018/978-1-7998-3095-5.ch003, Registrované v: SCOPUS
  [1.2] CHAUHAN, Prachi - MANDORIA, Hardwari Lal - NEGI, Alok - RAJPUT, R. S. Plant diseases concept in smart agriculture using deep learning. In Smart Agricultural Services Using Deep Learning, Big Data, and IoT, 2020-10-30, pp. 139-153. Dostupné na: https://doi.org/10.4018/978-1-7998-5003-8.ch008, Registrované v: SCOPUS
  [1.2] CHIROMA, Haruna - ABAWJY, Jemal H. Computing Research Survival Manual: A practical handbook for beginners. In Computing Research Survival Manual: A Practical Handbook for Beginners, 2023-08-30, pp. 1-52. Dostupné na: https://doi.org/10.1088/978-0-7503-5017-4, Registrované v: SCOPUS
  [1.2] CUNHA, Sara Las - DA COSTA, Renato Lopes - GONÇALVES, Rui - PEREIRA, Leandro - DIAS, Álvaro - DA SILVA, Rui Vinhas. Smart systems adoption in management. In International Journal of Business and Systems Research, 2023-01-01, 17, 6, pp. 703-727. ISSN 1751200X. Dostupné na: https://doi.org/10.1504/IJBSR.2023.134465, Registrované v: SCOPUS
  [1.2] DA COSTA, Renato Lopes - FILIPA, Tânia - MARTINHO, Filipa - GONÇALVES, Rui - DIAS, Álvaro - PEREIRA, Leandro. The impact of intelligent systems on the compensation policies of companies of the future. In International Journal of Intelligent Enterprise, 2023-01-01, 10, 4, pp. 384-402. ISSN 17453232. Dostupné na: https://doi.org/10.1504/IJIE.2023.133821, Registrované v: SCOPUS
  [1.2] DE BRUYN, Phillip Conrad. Evidence to Explain Violent Extremist Communication: A Systematic Review of Individual-Level Empirical Studies. In Perspectives on Terrorism, 2021-01-01, 15, 4, pp. 76-110., Registrované v: SCOPUS
  [1.2] DHIBAR, Saikat - JANA, Biman. Accurate Prediction of Antifreeze Protein from Sequences through Natural Language Text Processing and Interpretable Machine Learning Approaches. In Journal of Physical Chemistry Letters, 2023-12-07, 14, 48, pp. 10727-10735. Dostupné na: https://doi.org/10.1021/acs.jpclett.3c02817, Registrované v: SCOPUS
  [1.2] DI BERNARDO, Irene - GRECO, Fabio. Startups and Artificial Intelligence: Insights from Italy. In Impact of Artificial Intelligence in Business and Society: Opportunities and Challenges, 2023-01-01, pp. 134-152. Dostupné na: https://doi.org/10.4324/9781003304616-9, Registrované v: SCOPUS
  [1.2] DIVYA, G. - KUMAR, Manoj D.S. - BHARATHI, Shri S.V. Multiple Object Detection on Surveillance Videos For Improving Accuracy Using Enhanced Faster R-CNN. In Journal of Machine and Computing, 2023-10-01, 3, 4, pp. 505-516. ISSN 27891801. Dostupné na: https://doi.org/10.53759/7669/jmc202303042, Registrované v: SCOPUS
  [1.2] DMITRENKO, Andrei - MASIERO, Mauro M. - ZAMBONI, Nicola. Comparing representations of biological data learned with different AI paradigms, augmenting and cropping strategies. In Proceedings of Machine Learning Research, 2022-01-01, 172, pp. 353-369., Registrované v: SCOPUS
  [1.2] DUDA, Sebastian - HOFMANN, Peter - URBACH, Nils - VÖLTER, Fabiane - ZWICKEL, Amelie. The Impact of Resource Allocation on the Machine Learning Lifecycle: Bridging the Gap between Software Engineering and Management. In Business and Information Systems Engineering, 2023-01-01, pp. ISSN 23637005. Dostupné na: https://doi.org/10.1007/s12599-023-00842-7, Registrované v: SCOPUS
  [1.2] ECKARDT, Jan-Niklas - BORNHAEUSER, Martin - WENDT, Karsten - MIDDEKE, Jan Moritz. Application of machine learning in the management of acute myeloid leukemia: current practice and future prospects. In BLOOD ADVANCES. ISSN 2473-9529, 2020, vol. 4, no. 23, pp. 6077-6085., Registrované v: WOS
  [1.2] EDE, Jeffrey M. Deep learning in electron microscopy. In Machine Learning: Science and Technology, 2021-03-01, 2, 1, pp. Dostupné na: https://doi.org/10.1088/2632-2153/abd614, Registrované v: SCOPUS
  [1.2] ENGEL, Ekaterina A. Advances in the artificial intelligence models for photovoltaic systems. In Photovoltaic Systems: Advances in Research and Applications, 2023-11-03, pp. 1-61., Registrované v: SCOPUS
  [1.2] ERDOGAN, Tugba Gurgen - ALTUNEL, Haluk - TARHAN, Ayca Kolukısa. Tools/frameworks that support development process of AI-based software: validations in white literature. In CEUR Workshop Proceedings, 2022-01-01, 3272, pp. ISSN 16130073., Registrované v: SCOPUS
  [1.2] FACCIA, Alessio - CAVALIERE, Luigi Pio Leonardo - PETRATOS, Pythagoras - MOSTEANU, Narcisa Roxana. Unstructured Over Structured, Big Data Analytics and Applications In Accounting and Management. In ACM International Conference Proceeding Series, 2022-08-18, pp. 37-41. Dostupné na: https://doi.org/10.1145/3555962.3555969, Registrované v: SCOPUS
  [1.2] FAYADH, Sabah Mohammed. Automatic Brain Cancer Recognition in CT-Scan Images. In 2022 Iraqi International Conference on Communication and Information Technologies, IICCIT 2022, 2022-01-01, pp. 76-81. Dostupné na: https://doi.org/10.1109/IICCIT55816.2022.10010528, Registrované v: SCOPUS
  [1.2] GAO, Xiangmin - SHEN, Haoming - DUAN, Joan Huiqiong. A Study on ChatGPT to Alleviate the Difficulties in Writing Scientific Technology Papers. In 2023 International Conference on Cognitive Computing and Complex Data, ICCD 2023, 2023-01-01, pp. 118-122. Dostupné na: https://doi.org/10.1109/ICCD59681.2023.10420820, Registrované v: SCOPUS
  [1.2] GLUSHKO, Robert J. Seven ways to make a data science project fail. In Data and Information Management, 2023-04-01, 7, 1, pp. Dostupné na: https://doi.org/10.1016/j.dim.2023.100029, Registrované v: SCOPUS
  [1.2] GONG, Caoqi - HU, Die. A GAN-Based Channel Estimation Method for MIMO OFDM Systems. In Proceedings 2023 8th International Conference on Communication, Image and Signal Processing, CCISP 2023, 2023-01-01, pp. 410-415. Dostupné na: https://doi.org/10.1109/CCISP59915.2023.10355797, Registrované v: SCOPUS
  [1.2] GUPTA, Sunil - SHARMA, Hitesh Kumar - KAPOOR, Monit. Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT). In Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT), 2022-01-01, pp. 1-197. Dostupné na: https://doi.org/10.1007/978-3-031-18896-1, Registrované v: SCOPUS
  [1.2] HARJUHAHTO, Jaakko - DEBNER, Anton - HIRVISALO, Vesa. Processing lidAR data from a virtual logistics space. In OpenAccess Series in Informatics. ISSN 21906807, 2020-04-01, 80, pp., Registrované v: SCOPUS
  [1.2] HARPER, Shannon B. - WEBER, Eric S. Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making. In Journal of Social Computing, 2022-12-01, 3, 4, pp. 345-362. Dostupné na: https://doi.org/10.23919/JSC.2022.0017, Registrované v: SCOPUS
  [1.2] HIREMATH, Shivanand C. - MALLAPUR, Jayashree D. SOCIAL SKI DRIVER BASED EFFICIENT PARKING DYNAMICS AND COMPUTATION USING DEEP REINFORCEMENT LEARNING IN VEHICULAR CLOUD. In Journal of Theoretical and Applied Information Technology, 2022-08-15, 100, 15, pp. 4615-4627. ISSN 19928645., Registrované v: SCOPUS
  [1.2] HIRIYANNAIAH, Srinidhi - G. M, Siddesh - AHMED, Mumtaz Irteqa - SAIVENU, Kolli - RAJ, Anant - SRINIVASA, K. G. - PATNAIK, L. M. Multi-modal Data-Driven Analytics for Health Care. In Studies in Big Data, 2021-01-01, 88, pp. 139-155. ISSN 21976503. Dostupné na: https://doi.org/10.1007/978-981-16-0415-7_7, Registrované v: SCOPUS
  [1.2] HODSON, Timothy O. - DECICCO, Laura A. - HARIHARAN, Jayaram A. - STANISH, Lee F. - BLACK, Scott - HORSBURGH, Jeffery S. Reproducibility Starts at the Source: R, Python, and Julia Packages for Retrieving USGS Hydrologic Data. In Water (Switzerland), 2023-12-01, 15, 24, pp. Dostupné na: https://doi.org/10.3390/w15244236, Registrované v: SCOPUS
  [1.2] HOODA, Rohit - JOSHI, Vedant - SHAH, Manan. A comprehensive review of approaches to detect fatigue using machine learning techniques. In Chronic Diseases and Translational Medicine, 2022-03-01, 8, 1, pp. 26-35. Dostupné na: https://doi.org/10.1016/j.cdtm.2021.07.002, Registrované v: SCOPUS
  [1.2] HU, Han - HUANG, Yujin - CHEN, Qiuyuan - ZHUO, Terry Yue - CHEN, Chunyang. A First Look at On-device Models in iOS Apps. In ACM Transactions on Software Engineering and Methodology, 2023-11-23, 33, 1, pp. ISSN 1049331X. Dostupné na: https://doi.org/10.1145/3617177, Registrované v: SCOPUS
  [1.2] JANRAO, Surekha - SHAH, Deven. Performance evaluation for identifying best feature selector and machine learning algorithm for optimizing crop recommendation system. In 2020 IEEE Congreso Bienal de Argentina, ARGENCON 2020 2020 IEEE Biennial Congress of Argentina, ARGENCON 2020, 2020-12-01, pp.
  [1.2] JARALLAH, Saif K. - MAHMOOD, Sawsen A. Deep-learning models based video classification: Review. In AIP Conference Proceedings, 2023-12-04, 2834, 1, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0161553, Registrované v: SCOPUS
  [1.2] JHA, Anand - PAHAREEYA, Jankisharan - BHATELE, Kirtiraj - PATSARIYA, Sanjay. EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance. In Lecture Notes in Electrical Engineering, 2023-01-01, 1079 LNEE, pp. 157-168. ISSN 18761100. Dostupné na: https://doi.org/10.1007/978-981-99-5997-6_14, Registrované v: SCOPUS
  [1.2] JOSPHINELEELA, R. - KALIAPP, S. - NATRAYAN, L. - GARG, Ashish. Big Data Security through Privacy Preserving Data Mining (PPDM): A Decentralization Approach. In Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, 2023-01-01, pp. 718-721. Dostupné na: https://doi.org/10.1109/ICEARS56392.2023.10085646, Registrované v: SCOPUS
  [1.2] KABUDI, Tumaini Mwendile. Artificial Intelligence for Quality Education: Successes and Challenges for AI in Meeting SDG4. In IFIP Advances in Information and Communication Technology, 2022-01-01, 657 IFIP, pp. 347-362. ISSN 18684238. Dostupné na: https://doi.org/10.1007/978-3-031-19429-0_21, Registrované v: SCOPUS
  [1.2] KADHIM, Thair A. - ZGHAL, Nadia Smaoui - HARIRI, Walid - BEN AISSA, Dalenda. Face Recognition in Multiple Variations Using Deep Learning and Convolutional Neural Networks. In 2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications, SETIT 2022, 2022-01-01, pp. 305-311. Dostupné na: https://doi.org/10.1109/SETIT54465.2022.9875530, Registrované v: SCOPUS
  [1.2] KANAGARAJ, K. - GEETHA, S. A Hybrid Framework for Effective Prediction of Online Streaming Data. In Journal of Physics: Conference Series. ISSN 17426588, 2021-02-19, 1767, 1, pp., Registrované v: SCOPUS
  [1.2] KETOVA, K. V. - VAVILOVA, D. D. Modelling a human capital of an economic system with neural networks. In Journal of Physics: Conference Series. ISSN 17426588, 2020-12-23, 1703, 1, pp., Registrované v: SCOPUS
  [1.2] KHULLAR, Vikas - TIWARI, Raj Gaurang - AGARWAL, Ambuj Kumar - ANGURALA, Mohit. Transferring Pre-trained Deep CNNs on Plantar Thermograms for Diabetic Foot Disease. In Lecture Notes in Networks and Systems, 2023-01-01, 588, pp. 97-10. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-19-7982-8_9, Registrované v: SCOPUS
  [1.2] KIM, Younggwan - LEE, Jusuk - KIM, Ajung - HONG, Jiman. Load Balancing for Machine Learning Platform in Heterogeneous Distribute Computing Environment. In ACM International Conference Proceeding Series, 2020-10-13, pp. 267-270., Registrované v: SCOPUS
  [1.2] KLAMPANOS, Iraklis - DAVVETAS, Athanasios - GEMUND, Andre - ATKINSON, Malcolm - KOUKOURIKOS, Antonis - FILGUEIRA, Rosa - KRAUSE, Amrey - SPINUSO, Alessandro - CHARALAMBIDIS, Angelos - MAGNONI, Federica - CASAROTTI, Emanuele - PAGE, Christian - LINDNER, Mike - IKONOMOPOULOS, Andreas - KARKALETSIS, Vangelis. DARE: A reflective platform designed to enable agile data-driven research on the cloud. In Proceedings IEEE 15th International Conference on eScience, eScience 2019, 2019-09-01, pp. 578-585., Registrované v: SCOPUS
  [1.2] KNEŽIĆ BUHOVAC, Selena - ŠERIĆ, Ljiljana - IVANDA, Antonia - KRSTINIĆ, Damir. Web Scraping Fire Incidents and Assessment of Fire Impact A Case Study of Split and Dalmatia County Fires. In Communications in Computer and Information Science, 2023-01-01, 1827 CCIS, pp. 63-76. ISSN 18650929. Dostupné na: https://doi.org/10.1007/978-3-031-36833-2_5, Registrované v: SCOPUS
  [1.2] KOLLURI, Johnson - DAS, Ranjita. An Evaluation of Deep Learning-Based Object Identification. In International Journal on Recent and Innovation Trends in Computing and Communication, 2022-11-01, 10, 1, pp. 52-80. Dostupné na: https://doi.org/10.17762/ijritcc.v10i1s.5795, Registrované v: SCOPUS
  [1.2] KOSE, Utku - DEPERLIOGLU, Omer - ALZUBI, Jafar - PATRUT, Bogdan. Artificial intelligence and decision support systems. In Studies in Computational Intelligence. ISSN 1860949X, 2021-01-01, 909, pp. 1-14., Registrované v: SCOPUS
  [1.2] KOTIYAL, Bina - PATHAK, Heman. Big Data Preprocessing Phase in Engendering Quality Data. In Lecture Notes in Electrical Engineering. ISSN 18761100, 2022-01-01, 768, pp. 65-74., Registrované v: SCOPUS
  [1.2] KUMAR, C. Ramesh. Higher Level Abstraction of Deep Architecture. In Prediction and Analysis for Knowledge Representation and Machine Learning, 2022-01-01, pp. 143-161. Dostupné na: https://doi.org/10.1201/9781003126898-7, Registrované v: SCOPUS
  [1.2] KUMAR, Ch Hemanth - RAVI KISHAN, S. - KHAYIM AHMED, A. Development of Decision Support System on Online Payment Failures using Ensemble Learning. In International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 Proceedings, 2023-01-01, pp. 266-272. Dostupné na: https://doi.org/10.1109/ICSCSS57650.2023.10169602, Registrované v: SCOPUS
  [1.2] KUMARI, Alka - SHAH, Harshal. Design and Implementation of IoT-ML Based Data Management for Sustained System Integrity. In Proceedings of 5th International Conference on Contemporary Computing and Informatics, IC3I 2022, 2022-01-01, pp. 762-767. Dostupné na: https://doi.org/10.1109/IC3I56241.2022.10072889, Registrované v: SCOPUS
  [1.2] LAMBA, Manika - MADHUSUDHAN, Margam. Text Mining for Information Professionals: An Uncharted Territory. In Text Mining for Information Professionals: An Uncharted Territory, 2022-01-01, pp. 1-356. Dostupné na: https://doi.org/10.1007/978-3-030-85085-2, Registrované v: SCOPUS
  [1.2] LAZAROVA, Milena - NAKOV, Ognyan - MIHAYLOVA, Elizabet. Deep Learning Platforms for High-Performance and Distributed Computing Object Detection. In 3rd International Conference on High Technology for Sustainable Development, HiTech 2020 Proceedings, 2020-10-08, pp., Registrované v: SCOPUS
  [1.2] LAZZERI, Francesca. Machine learning for time series forecasting with python. In Machine Learning for Time Series Forecasting with Python, 2020-01-01, pp. 1-206. Dostupné na: https://doi.org/10.1002/9781119682394, Registrované v: SCOPUS
  [1.2] LENZ, Oliver Urs - PERALTA, Daniel - CORNELIS, Chris. fuzzy-rough-learn 0.1: A Python Library for Machine Learning with Fuzzy Rough Sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). ISSN 03029743, 2020-01-01, 12179 LNAI, pp. 491-499., Registrované v: SCOPUS
  [1.2] LI, Shaobo - YANG, Lei - LI, Chuanjiang - ZHANG, Ansi - LUO, Ruishi. Overview of federated learning: Technology, applications and future. In Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2022-07-31, 28, 7, pp. 2119-2138. ISSN 10065911. Dostupné na: https://doi.org/10.13196/j.cims.2022.07.018, Registrované v: SCOPUS
  [1.2] LI, Wenwu - SHI, Qiang - WANG, Kai - CHENG, Xiong. Runoff prediction based on variational mode decomposition and deep gated network. In Shuili Fadian Xuebao/Journal of Hydroelectric Engineering. ISSN 10031243, 2020-03-25, 39, 3, pp. 34-44., Registrované v: SCOPUS
  [1.2] LI, Zhuolun. Prediction of Steering Wheel Angle at Night based on CNN. In Proceedings of SPIE The International Society for Optical Engineering, 2023-01-01, 12612, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2673094, Registrované v: SCOPUS
  [1.2] LV, Zhihan - CHENG, Chen - LV, Haibin. Blockchain-Based Decentralized Learning for Security in Digital Twins. In IEEE Internet of Things Journal, 2023-12-15, 10, 24, pp. 21479-21488. Dostupné na: https://doi.org/10.1109/JIOT.2023.3295499, Registrované v: SCOPUS
  [1.2] MAHRISHI, Mehul - HIRAN, Kamal Kant - MEENA, Gaurav - SHARMA, Paawan. Machine learning and deep learning in real-time applications. In Machine Learning and Deep Learning in Real-Time Applications, 2020-04-24, pp. 1-344. Dostupné na: https://doi.org/10.4018/978-1-7998-3095-5, Registrované v: SCOPUS
  [1.2] MAIER-HEIN, Lena - EISENMANN, Matthias - SARIKAYA, Duygu - MÄRZ, Keno - COLLINS, Toby - MALPANI, Anand - FALLERT, Johannes - FEUSSNER, Hubertus - GIANNAROU, Stamatia - MASCAGNI, Pietro - NAKAWALA, Hirenkumar - PARK, Adrian - PUGH, Carla - STOYANOV, Danail - VEDULA, Swaroop S. - CLEARY, Kevin - FICHTINGER, Gabor - FORESTIER, Germain - GIBAUD, Bernard - GRANTCHAROV, Teodor - HASHIZUME, Makoto - HECKMANN-NÖTZEL, Doreen - KENNGOTT, Hannes G. - KIKINIS, Ron - MÜNDERMANN, Lars - NAVAB, Nassir - ONOGUR, Sinan - ROß, Tobias - SZNITMAN, Raphael - TAYLOR, Russell H. - TIZABI, Minu D. - WAGNER, Martin - HAGER, Gregory D. - NEUMUTH, Thomas - PADOY, Nicolas - COLLINS, Justin - GOCKEL, Ines - GOEDEKE, Jan - HASHIMOTO, Daniel A. - JOYEUX, Luc - LAM, Kyle - LEFF, Daniel R. - MADANI, Amin - MARCUS, Hani J. - MEIRELES, Ozanan - SEITEL, Alexander - TEBER, Dogu - ÜCKERT, Frank - MÜLLER-STICH, Beat P. - JANNIN, Pierre - SPEIDEL, Stefanie. Surgical data science – from concepts toward clinical translation. In Medical Image Analysis, 2022-02-01, 76, pp. ISSN 13618415. Dostupné na: https://doi.org/10.1016/j.media.2021.102306, Registrované v: SCOPUS
  [1.2] MAKORI, Elisha Ondieki - BITSO, Connie. Information profession in digital transformation and development: Future directions. In Handbook of Research on Knowledge and Organization Systems in Library and Information Science, 2021-06-25, pp. 1-24. Dostupné na: https://doi.org/10.4018/978-1-7998-7258-0.ch001, Registrované v: SCOPUS
  [1.2] MAO, Zhengxiong - YANG, Chuanxu - CHANG, Rong - BAO, Fu - TIAN, Yuan - ZHANG, Hang. A federated learning-based method for class imbalanced power big data fusion. In 2022 2nd International Conference on Electrical Engineering and Control Science, IC2ECS 2022, 2022-01-01, pp. 1177-1180. Dostupné na: https://doi.org/10.1109/IC2ECS57645.2022.10088118, Registrované v: SCOPUS
  [1.2] MARDIKORAEM, Mehrsa - WOLDRING, Daniel. Machine Learning-driven Protein Library Design: A Path Toward Smarter Libraries. In Methods in Molecular Biology, 2022-01-01, 2491, pp. 87-104. ISSN 10643745. Dostupné na: https://doi.org/10.1007/978-1-0716-2285-8_5, Registrované v: SCOPUS
  [1.2] MAYET, Abdulilah Mohammad - SHUKLA, Neeraj Kumar - RAJA, M. Ramkumar - AHMAD, Ijaz - AIESH QAISI, Ramy Mohammed - AL-QAHTANI, Ali Awadh - TAPARWAL, Anita - TIRTH, Vineet - AL-DOSSARY, Reem. Experimental Analysis to Detect Corona COVID-19 Virus Symptoms in Male Patients through Breath Pattern Using Machine Learning Algorithms. In Electronics (Switzerland), 2023-01-01, 12, 1, pp. Dostupné na: https://doi.org/10.3390/electronics12010010, Registrované v: SCOPUS
  [1.2] MBILONG, Paul Menounga - BERHICH, Asmae - JEBLI, Imane - KASSIRI, Asmae El - BELOUADHA, Fatima Zahra. Artificial intelligence-enabled and period-aware forecasting COVID-19 spread. In Ingenierie des Systemes d'Information. ISSN 16331311, 2021-02-01, 26, 1, pp. 47-57., Registrované v: SCOPUS
  [1.2] MEREMBAYEV, Timur - AMANBEK, Yerlan. Natural Fracture Network Model Using Machine Learning Approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023-01-01, 14107 LNCS, pp. 384-397. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-37114-1_26, Registrované v: SCOPUS
  [1.2] MOREIRA, Miguel Ângelo Lellis - DE SOUZA ROCHA JUNIOR, Claudio - SILVA, Diogo Ferreira De Lima - DE CASTRO JUNIOR, Marcos Alexandre Pinto - DE ARAÚJO COSTA, Igor Pinheiro - GOMES, Carlos Francisco Simões - DOS SANTOS, Marcos. Exploratory analysis and implementation of machine learning techniques for predictive assessment of fraud in banking systems. In Procedia Computer Science, 2022-01-01, 214, c, pp. 117-124. Dostupné na: https://doi.org/10.1016/j.procs.2022.11.156, Registrované v: SCOPUS
  [1.2] MUKHAMEDIEV, Ravil I. - ASSANOV, Ilyas - YELIS, Marina - SYMAGULOV, Adilkhan - KUCHIN, Yan - YAKUNIN, Kirill - MARGULAN, Aubakirov - TABYNBAYEVA, Laila - SEDLACEK, Peter. Rapid bibliometric analysis in deep learning domain. In International Conference on Information and Digital Technologies 2021, IDT 2021, 2021-06-22, pp. 206-211., Registrované v: SCOPUS
  [1.2] MUSA, Nehemiah - GITAL, Abdulsalam Ya’u - ALJOJO, Nahla - CHIROMA, Haruna - ADEWOLE, Kayode S. - MOJEED, Hammed A. - FARUK, Nasir - ABDULKARIM, Abubakar - EMMANUEL, Ifada - FOLAWIYO, Yusuf Y. - OGUNMODEDE, James A. - OLOYEDE, Abdukareem A. - OLAWOYIN, Lukman A. - SIKIRU, Ismaeel A. - KATB, Ibrahim. A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram. In Journal of Ambient Intelligence and Humanized Computing, 2023-07-01, 14, 7, pp. 9677-9750. ISSN 18685137. Dostupné na: https://doi.org/10.1007/s12652-022-03868-z, Registrované v: SCOPUS
  [1.2] NAGALAKSHMI, P. S.S. - SHRISHTI, N. - SOUMYA, P. - CHANDI PRIYA, G. - SREE VISHNUPRIYA, D. Application program interface on artificial neural network in QGIS using python. In International Journal on Emerging Technologies, 2020-01-01, 11, 3, pp. 539-543. ISSN 09758364., Registrované v: SCOPUS
  [1.2] NAZMI, Nurul Amera Muhamad - RIZHAN, Wan - RAHIM, Normala. Developing and Evaluating AR for Food Ordering System based on Technological Acceptance Evaluation Approach: A Case Study of Restaurant's Menu Item Selection. In International Journal of Engineering Trends and Technology, 2022-05-01, 70, 5, pp. 24-29. ISSN 23490918. Dostupné na: https://doi.org/10.14445/22315381/IJETT-V70I5P204, Registrované v: SCOPUS
  [1.2] NEUENDORFFER, Stephen - KHODAMORADI, Alireza Khodamoradi - DENOLF, Kristof - JAIN, Abhishek Kumar - BAYLISS, Samuel. The Evolution of Domain-Specific Computing for Deep Learning. In IEEE Circuits and Systems Magazine. ISSN 1531636X, 2021-04-01, 21, 2, pp. 75-96., Registrované v: SCOPUS
  [1.2] NWAOGU, Victor Chimankpam - DIMILILER, Kamil. Customer Churn Prediction for Business Intelligence Using Machine Learning. In HORA 2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications, Proceedings, 2021-06-11, pp. Dostupné na: https://doi.org/10.1109/HORA52670.2021.9461303, Registrované v: SCOPUS
  [1.2] ODEH, Ammar - AL-HAIJA, Qasem Abu - AREF, Abdullah - TALEB, Anas Abu. Comparative Study of CatBoost, XGBoost, and LightGBM for Enhanced URL Phishing Detection: A Performance Assessment. In Journal of Internet Services and Information Security, 2023-11-01, 13, 4, pp. 1-11. ISSN 21822069. Dostupné na: https://doi.org/10.58346/JISIS.2023.I4.001, Registrované v: SCOPUS
  [1.2] OLADIPO, Idowu Dauda - ABDULRAHEEM, Muyideen - AWOTUNDE, Joseph Bamidele - BHOI, Akash Kumar - ADENIYI, Emmanuel Abidemi - ABIODUN, Moses Kazeem. Machine Learning and Deep Learning Algorithms for Smart Cities: A Start-of-the-Art Review. In EAI/Springer Innovations in Communication and Computing. ISSN 25228595, 2022-01-01, pp. 143-162. Dostupné na: https://doi.org/10.1007/978-3-030-82715-1_7, Registrované v: SCOPUS
  [1.2] OĞUZ, Abdulhalık - ERTUĞRUL, Ömer Faruk. Introduction to deep learning and diagnosis in medicine. In Diagnostic Biomedical Signal and Image Processing Applications with Deep Learning Methods, 2023-01-01, pp. 1-40. Dostupné na: https://doi.org/10.1016/B978-0-323-96129-5.00003-2, Registrované v: SCOPUS
  [1.2] PAGANELLI, Matteo - DEL BUONO, Francesco - GUERRA, Francesco - PEVARELLO, Marco - VINCINI, Maurizio. Automated machine learning for entity matching tasks. In Advances in Database Technology EDBT, 2021-01-01, 2021-March, pp. 325-330. Dostupné na: https://doi.org/10.5441/002/edbt.2021.29, Registrované v: SCOPUS
  [1.2] PARIDA, Satyajeet - TRIPATHI, Abhishek Kumar - PAUL, Subha Ranjan - AHMED, Zeeshan. Prediction of Blast Induced Ground Vibration by Artificial Neural Network. In AIP Conference Proceedings, 2022-11-29, 2615, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0116470, Registrované v: SCOPUS
  [1.2] PARVATHI, M. SRAM memory testing methods and analysis: An approach for traditional test algorithms to ML models. In Machine Learning Algorithms Using Scikit and TensorFlow Environments, 2023-12-18, pp. 295-317. Dostupné na: https://doi.org/10.4018/978-1-6684-8531-6.ch015, Registrované v: SCOPUS
  [1.2] PAZHANIRAJA, N. - SOUNTHARRAJAN, S. - SUGANYA, E. - KARTHIGA, M. Top ‘N’ Variant Random Forest Model for High Utility Itemsets Recommendation. In EAI Endorsed Transactions on Energy Web. ISSN 16155548, 2021-01-01, 8, 35, pp. 1-7. Dostupné na: https://doi.org/10.4108/eai.25-1-2021.168225, Registrované v: SCOPUS
  [1.2] PRAKASH, Aishwarya - CHAUHAN, Shweta. A Comprehensive Survey of Trending Tools and Techniques in Deep Learning. In 2023 International Conference on Disruptive Technologies, ICDT 2023, 2023-01-01, pp. 289-292. Dostupné na: https://doi.org/10.1109/ICDT57929.2023.10151083, Registrované v: SCOPUS
  [1.2] RAJASHEKAR, Deva - SOWMYA, Jujuroo. Trends and Paradigms in Machine Learning – A Review. In 14th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2023, 2023-01-01, 2023-June, pp. 1641-1650., Registrované v: SCOPUS
  [1.2] RAJENDRAN, Revathi - KALIDASAN, Arthi - RAJAN, Chidhambara B. Convergence of AI, ML, and DL for enabling smart intelligence: Artificial intelligence, machine learning, deep learning, internet of things. In Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing, 2021-01-29, pp. 180-195. Dostupné na: https://doi.org/10.4018/978-1-7998-3111-2.ch011, Registrované v: SCOPUS
  [1.2] RAMYA, R. - ANANDH, A. - MUTHULAKSHMI, K. - VENKATESH, S. Gender recognition from facial images using multichannel deep learning framework. In Machine Learning for Biometrics: Concepts, Algorithms and Applications, 2022-01-01, pp. 105-128. Dostupné na: https://doi.org/10.1016/B978-0-323-85209-8.00009-2, Registrované v: SCOPUS
  [1.2] REIMANN, Lars - KNIESEL-WÜNSCHE, Günter. Achieving guidance in applied machine learning through software engineering techniques. In ACM International Conference Proceeding Series, 2020-03-23, pp. 7-12., Registrované v: SCOPUS
  [1.2] REN, Zhixiang - LIU, Yongheng - SHI, Tianhui - XIE, Lei - ZHOU, Yue - ZHAI, Jidong - ZHANG, Youhui - ZHANG, Yunquan - CHEN, Wenguang. AIPerf: Automated machine learning as an AI-HPC benchmark. In Big Data Mining and Analytics. ISSN 20960654, 2021-09-01, 4, 3, pp. 208-220., Registrované v: SCOPUS
  [1.2] RENNER, Henrik - SCHÖLER, Hans R. - BRUDER, Jan M. Combining Automated Organoid Workflows with Artificial Intelligence-Based Analyses: Opportunities to Build a New Generation of Interdisciplinary High-Throughput Screens for Parkinson's Disease and Beyond. In Movement Disorders, 2021-12-01, 36, 12, pp. 2745-2762. ISSN 08853185. Dostupné na: https://doi.org/10.1002/mds.28775, Registrované v: SCOPUS
  [1.2] ROOBINI, M. S. - LAKSHMI, M. Diagnosis of Alzheimer disease using classification algorithms. In Proceedings of the 3rd International Conference on Intelligent Sustainable Systems, ICISS 2020, 2020-12-03, pp. 725-734., Registrované v: SCOPUS
  [1.2] ROOBINI, M. S. - SOWMIYA, M. - JANCY, S. - HELEN, L. Suji. Applications of machine learning techniques in disease detection. In Medical Imaging and Health Informatics, 2022-05-29, pp. 23-45. Dostupné na: https://doi.org/10.1002/9781119819165.ch2, Registrované v: SCOPUS
  [1.2] SACHDEVA, Garima - VERMA, Rishabh - CHAHAL, Deepak - KHARB, Latika. Implementing IoT and data analytics to overcome "vehicles danger". In International Journal of Innovative Technology and Exploring Engineering, 2019-09-01, 8, 11, pp. 4298-4304., Registrované v: SCOPUS
  [1.2] SAKHNYUK, P. A. - SAKHNYUK, T. I. - KORSHIKOVA, M. V. The use of intelligent technologies of Business Intelligence Platforms and Data Science and Machine Learning Platforms for monitoring the socio-economic indicators of the administrative districts of Moscow. In IOP Conference Series: Materials Science and Engineering. ISSN 17578981, 2020-07-07, 873, 1, pp., Registrované v: SCOPUS
  [1.2] SAKHNYUK, P. A. - SAKHNYUK, T. I. Intellectual Technologies in Digital Transformation. In IOP Conference Series: Materials Science and Engineering. ISSN 17578981, 2020-07-07, 873, 1, pp., Registrované v: SCOPUS
  [1.2] SALINAS-GUERRA, Rocío - MEJÍA-DIOS, Jesús Adolfo - MEZURA-MONTES, Efrén - MÁRQUEZ-GRAJALES, Aldo. An Evolutionary Bilevel Optimization Approach for Neuroevolution. In Studies in Computational Intelligence, 2023-01-01, 1096, pp. 395-423. ISSN 1860949X. Dostupné na: https://doi.org/10.1007/978-3-031-28999-6_25, Registrované v: SCOPUS
  [1.2] SALMAN, Ahmad Rifhan - ISMAIL, Mohd Muzafar - RAZAK, Jeefferie Abd - RASHID, Siti Rosmaniza Ab. Design of UTeM logo-shape wearable antenna for communication application by graphene silver nanocomposites. In Telkomnika (Telecommunication Computing Electronics and Control), 2022-01-01, 20, 3, pp. 647-655. ISSN 16936930. Dostupné na: https://doi.org/10.12928/TELKOMNIKA.v20i3.21780, Registrované v: SCOPUS
  [1.2] SANDOVAL, Jenner Lavalle - ANDRADE-ARENAS, Laberiano - HERNANDEZ CELIS, Domingo - CABANILLAS-CARBONELL, Michael. Enterprise information security risks: a systematic review of the literature. In Indonesian Journal of Electrical Engineering and Computer Science, 2023-09-01, 31, 3, pp. 1589-1604. ISSN 25024752. Dostupné na: https://doi.org/10.11591/ijeecs.v31.i3.pp1589-1604, Registrované v: SCOPUS
  [1.2] SANGWAN, Raghvinder S. - BADR, Youakim - SRINIVASAN, Satish M. Cybersecurity for AI Systems: A Survey. In Journal of Cybersecurity and Privacy, 2023-06-01, 3, 2, pp. 166-190. Dostupné na: https://doi.org/10.3390/jcp3020010, Registrované v: SCOPUS
  [1.2] SARAKON, Sujittra - TAMEE, Kreangsak. PERFORMANCE ENHANCEMENT OF MULTIPLE SOURCES FOR ACTIVITY RECOGNITION USING DEEP NEURAL NETWORK RETRAINING. In ICIC Express Letters, Part B: Applications, 2023-06-01, 14, 6, pp. 579-586. ISSN 21852766. Dostupné na: https://doi.org/10.24507/icicelb.14.06.579, Registrované v: SCOPUS
  [1.2] SARMAH, Dipti Kapoor - KULKARNI, Anand J. - ABRAHAM, Ajith. Introduction. In Intelligent Systems Reference Library. ISSN 18684394, 2020-01-01, 187, pp. 1-32., Registrované v: SCOPUS
  [1.2] SCHEINERT, Dominik - WIESNER, Philipp - WITTKOPP, Thorsten - THAMSEN, Lauritz - WILL, Jonathan - KAO, Odej. Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics. In Conference Proceedings of the IEEE International Performance, Computing, and Communications Conference, 2023-01-01, pp. 403-412. ISSN 10972641. Dostupné na: https://doi.org/10.1109/IPCCC59175.2023.10253884, Registrované v: SCOPUS
  [1.2] SCHNEIDER, Patrick - XHAFA, Fatos. Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring. In Anomaly Detection and Complex Event Processing Over IoT Data Streams: With Application to eHealth and Patient Data Monitoring, 2022-01-19, pp. 1-381. Dostupné na: https://doi.org/10.1016/B978-0-12-823818-9.00002-X, Registrované v: SCOPUS
  [1.2] SEJUTI, Zarin Anjuman - ISLAM, Md Saiful. A hybrid CNN–KNN approach for identification of COVID-19 with 5-fold cross validation. In Sensors International, 2023-01-01, 4, pp. Dostupné na: https://doi.org/10.1016/j.sintl.2023.100229, Registrované v: SCOPUS
  [1.2] SEKHAR, C. H. - MEENAKSHI - MOUSA, Saeed - SHARMA, M. K. - GOBINATH, V. M. - DHARAMVIR. A Comprehensive Analysis of Internet of Things (IOT) Sustained Integrity System Services with Data Management Based ON Machine Learning. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, 2022-01-01, pp. 2636-2639. Dostupné na: https://doi.org/10.1109/ICACITE53722.2022.9823431, Registrované v: SCOPUS
  [1.2] SEMWAL, Prabhakar - SAINI, Rashmi. Deep-learning models for Covid-19 Detection Using Chest X-Ray Images. In 2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development, OTCON 2022, 2023-01-01, pp. Dostupné na: https://doi.org/10.1109/OTCON56053.2023.10113965, Registrované v: SCOPUS
  [1.2] SHAHRIAR, Hossain - SNEHA, Sweta - WHITLEY, Patricia. Approaches and challenges to secure health data. In International Journal of Medical Engineering and Informatics, 2022-01-01, 14, 3, pp. 213-228. ISSN 17550653. Dostupné na: https://doi.org/10.1504/IJMEI.2022.122281, Registrované v: SCOPUS
  [1.2] SHARMA, Hitesh Kumar - CHOUDHURY, Tanupriya - MOHANTY, Sachi Nandan - SWAGATIKA, Shrabanee - SWAIN, Satabdi. Deep Learning based approach for Photographs and Painting Classification using CNN Model. In CEUR Workshop Proceedings, 2021-01-01, 3283, pp. 220-226. ISSN 16130073., Registrované v: SCOPUS
  [1.2] SHI, Yechuan - KIENZLE, Jörg - GUO, Jin L.C. Feature-oriented modularization of deep learning APIs. In Proceedings ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems, MODELS 2022: Companion Proceedings, 2022-10-23, pp. 367-374. Dostupné na: https://doi.org/10.1145/3550356.3561575, Registrované v: SCOPUS
  [1.2] SHIN, Jiho - WEI, Moshi - WANG, Junjie - SHI, Lin - WANG, Song. The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. In ACM Transactions on Software Engineering and Methodology, 2023-12-22, 33, 2, pp. ISSN 1049331X. Dostupné na: https://doi.org/10.1145/3630009, Registrované v: SCOPUS
  [1.2] SINGH, Nehul - CHOUHAN, Satyendra Singh - VERMA, Karan. Object Oriented Programming: Concepts, Limitations and Application Trends. In 2021 5th International Conference on Information Systems and Computer Networks, ISCON 2021, 2021-01-01, pp. Dostupné na: https://doi.org/10.1109/ISCON52037.2021.9702463, Registrované v: SCOPUS
  [1.2] SISWANTO, Apri - EFENDI, Akmar - KADIR, Evizal Abdul. Biometric face authentication system for secure smart office environments. In Indonesian Journal of Electrical Engineering and Computer Science, 2023-11-01, 32, 2, pp. 1134-1141. ISSN 25024752. Dostupné na: https://doi.org/10.11591/ijeecs.v32.i2.pp1134-1141, Registrované v: SCOPUS
  [1.2] SOENY, Kabir - PANDEY, Gaurav - GUPTA, Utkarsh - TRIVEDI, Adarsh - GUPTA, Mehul - AGARWAL, Gaurav. Attended robotic process automation of prescriptions’ digitization. In Smart Health, 2021-04-01, 20, pp., Registrované v: SCOPUS
  [1.2] SREEKANTHA, Desai Karanam - KULKARNI, R. V. Heterogenous Applications of Deep Learning Techniques in Diverse Domains: A Review. In EAI/Springer Innovations in Communication and Computing. ISSN 25228595, 2021-01-01, pp. 183-203., Registrované v: SCOPUS
  [1.2] SUBASI, Abdulhamit - QURESHI, Saqib Ahmed - BRAHIMI, Tayeb - SERIRETI, Akila. COVID-19 detection from X-ray images using artificial intelligence. In Artificial Intelligence and Big Data Analytics for Smart Healthcare, 2021-01-01, pp. 209-224. Dostupné na: https://doi.org/10.1016/B978-0-12-822060-3.00013-9, Registrované v: SCOPUS
  [1.2] SUKARDI, Sahrul - SUSANTY, Meredita - IRAWAN, Ade - PUTRA, Randi Fermana. Low Complexity Named-Entity Recognition for Indonesian Language using BiLSTM-CNNs. In 2020 3rd International Conference on Information and Communications Technology, ICOIACT 2020, 2020-11-24, pp. 137-142., Registrované v: SCOPUS
  [1.2] SUPRIYANTO, Catur - NUGROHO, Hanung Adi - ADJI, Teguh Bharata. Distance matrix based keypoint selection for bag-of-visual words model on image classification. In International Journal of Intelligent Engineering and Systems. ISSN 2185310X, 2020-01-01, 13, 3, pp. 201-211., Registrované v: SCOPUS
  [1.2] SUSHMA, S. J. - ASSEGIE, Tsehay Admassu - VINUTHA, D. C. - PADMASHREE, S. An improved feature selection approach for chronic heart disease detection. In Bulletin of Electrical Engineering and Informatics. ISSN 20893191, 2021-12-01, 10, 6, pp. 3501-3506. Dostupné na: https://doi.org/10.11591/eei.v10i6.3001, Registrované v: SCOPUS
  [1.2] TANG, Weiye - LI, Daren - FAN, Wuyue - LIU, Tianhao - CHEN, Man - DIB, Omar. An Intrusion Detection System Empowered by Deep Learning Algorithms. In 2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, International Conference on Pervasive Intelligence and Computing, International Conference on Cloud and Big Data Computing, International Conference on Cyber Science and Technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023, 2023-01-01, pp. 1137-1142. Dostupné na: https://doi.org/10.1109/DASC/PiCom/CBDCom/Cy59711.2023.10361315, Registrované v: SCOPUS
  [1.2] TAO, Shuai - ZHANG, Jun Bo - HAN, Xi Bing - YU, Jian Qiang - XI, Ling Zhi - LI, Shu Yi. Prediction analysis of vertical displacement of pipe jacking crossing existing subway tunnel based on LSTM algorithm. In Proceedings of SPIE The International Society for Optical Engineering, 2023-01-01, 12756, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2686338, Registrované v: SCOPUS
  [1.2] TEIXEIRA, Rafael - ANTUNES, Mario - GOMES, Diogo - AGUIAR, Rui L. The learning costs of Federated Learning in constrained scenarios. In Proceedings 2023 International Conference on Future Internet of Things and Cloud, FiCloud 2023, 2023-01-01, pp. 18-25. Dostupné na: https://doi.org/10.1109/FiCloud58648.2023.00011, Registrované v: SCOPUS
  [1.2] THODE, Steven - PALACIO, Gil - PATEL, Dhvani. R vs Python in Machine Learning and Deep Learning: Student Survey. In Proceedings of the Information Systems Education Conference, ISECON, 2023-01-01, 2023-March, pp. ISSN 21671435., Registrované v: SCOPUS
  [1.2] TSAGKIS, Pavlos - BAKOGIANNIS, Efthimios - NIKITAS, Alexandros. Analysing urban growth using machine learning and open data: An artificial neural network modelled case study of five Greek cities. In Sustainable Cities and Society, 2023-02-01, 89, pp. ISSN 22106707. Dostupné na: https://doi.org/10.1016/j.scs.2022.104337, Registrované v: SCOPUS
  [1.2] VITHLANI, Sunil K. - DABHI, Vipul K. Machine Learning and Deep Learning in Crop Management—A Review. In Studies in Big Data, 2023-01-01, 121, pp. 35-59. ISSN 21976503. Dostupné na: https://doi.org/10.1007/978-981-99-0577-5_2, Registrované v: SCOPUS
  [1.2] WANG, Bo - MA, Sheng - YUAN, Yuan - DAI, Yi - JIANG, Wei - HOU, Xiang - YI, Xiao - XU, Rui. SparG: A Sparse GEMM Accelerator for Deep Learning Applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023-01-01, 13777 LNCS, pp. 529-547. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-031-22677-9_28, Registrované v: SCOPUS
  [1.2] WANG, Yaqin - WEI-KOCSIS, Jin - SPRINGER, John A. - MATSON, Eric T. Deep Learning in Audio Classification. In Communications in Computer and Information Science, 2022-01-01, 1665 CCIS, pp. 64-77. ISSN 18650929. Dostupné na: https://doi.org/10.1007/978-3-031-16302-9_5, Registrované v: SCOPUS
  [1.2] WEI, Moshi - HUANG, Yuchao - WANG, Junjie - SHIN, Jiho - HARZEVILI, Nima Shiri - WANG, Song. API recommendation for machine learning libraries: how far are we? In ESEC/FSE 2022 Proceedings of the 30th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022-11-07, pp. 370-381. Dostupné na: https://doi.org/10.1145/3540250.3549124, Registrované v: SCOPUS
  [1.2] WU, Dezhi - REN, Yang - HE, Long - JOHNSON, Joseph. The identification of risk factors associated with COVID-19 in a large inpatient cohort using machine learning approaches. In Digital Innovation for Healthcare in COVID-19 Pandemic: Strategies and Solutions, 2022-01-01, pp. 189-199. Dostupné na: https://doi.org/10.1016/B978-0-12-821318-6.00017-7, Registrované v: SCOPUS
  [1.2] XU, Zhenyi - PAN, Kai - XIA, Xiushan - CAO, Yang - KANG, Yu. A Review of Deep Learning Methods for Mobile Source Emissions Prediction. In Proceedings of SPIE The International Society for Optical Engineering, 2022-01-01, 12249, pp. ISSN 0277786X. Dostupné na: https://doi.org/10.1117/12.2637028, Registrované v: SCOPUS
  [1.2] ZAFAR, Imran - AHMAD, Syed Umair - RATHER, Mohd Ashraf - KHAN, Azmat Ali - UL AIN, Qurat - SAFDER, Arfa - SEHGAL, Sheikh Arslan. The future of health diagnosis and treatment: an exploration of deep learning frameworks and innovative applications. In Deep Learning in Personalized Healthcare and Decision Support, 2023-01-01, pp. 1-21. Dostupné na: https://doi.org/10.1016/B978-0-443-19413-9.00002-3, Registrované v: SCOPUS
  [1.2] ZENG, Zhi - LI, Xiang - SHA, Ying. Heterogeneous Propagation Graph Representation Learning for Fake News Detection. In Proceedings 24th IEEE International Conference on High Performance Computing and Communications, 8th IEEE International Conference on Data Science and Systems, 20th IEEE International Conference on Smart City and 8th IEEE International Conference on Dependability in Sensor, Cloud and Big Data Systems and Application, HPCC/DSS/SmartCity/DependSys 2022, 2022-01-01, pp. 456-463. Dostupné na: https://doi.org/10.1109/HPCC-DSS-SmartCity-DependSys57074.2022.00089, Registrované v: SCOPUS
  [1.2] ZHANG, Beiqi - LIU, Tianyang - LIANG, Peng - WANG, Chong - SHAHIN, Mojtaba - YU, Jiaxin. Architecture Decisions in AI-based Systems Development: An Empirical Study. In Proceedings 2023 IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2023, 2023-01-01, pp. 616-626. Dostupné na: https://doi.org/10.1109/SANER56733.2023.00063, Registrované v: SCOPUS
  [1.2] ZHAO, Yuliang - XIAO, Qijun - LI, Jinhao - TIAN, Kaixuan - YANG, Le - SHAN, Peng - LV, Xiaoyong - LI, Lianjiang - ZHAN, Zhikun. Review on image-based animals weight weighing. In Computers and Electronics in Agriculture, 2023-12-01, 215, pp. ISSN 01681699. Dostupné na: https://doi.org/10.1016/j.compag.2023.108456, Registrované v: SCOPUS
  [3.1] ABDULKAREEM, Z.M. - HAMODI, Y.I. - ALI, S.S.M. - AL-SABIT, S.M.B. An analysis of performance in free-space optical communication using eight wavelength division multiplexing. In Texas Journal of Engineering and Technology. ISSN 2770-4491, 2023, vol. 24, pp. 13-19.
  [3.1] AJUJI, M. - HAMID, R.M. - EMMANUEL, D.U. - TURAKI, A.M. - MUHAMMAD, A.N. Application of machine learning algorithms for fake news detection: A review. In ATBU Journal of Science, Technology and Education. ISSN 2277-0011, 2021, vol. 9, no. 4, pp. 91-100.
  [3.1] AKINDOTE, O.J. - EGIEYA, Z.E. - EWUGA, S. K. - OMOTOSHO, A. - ADEGBITE, A.O. A review of data-driven business optimization strategies in the us economy. In International Journal of Management & Entrepreneurship Research. 2023, vol. 5, no. 12, pp. 1124-1138. doi: 10.51594/ijmer.v5i12.681.
  [3.1] AKTÜRK, S. - SERBEST, K. Nesne tespiti için derin öğrenme kütüphanelerinin incelenmesi. In Journal of Smart Systems Research (JOINSSR). e-ISSN 2757-6787, 2022, vol. 3, no. 2, pp. 97-119.
  [3.1] AL-FAYYADH, H.R.D. - ALI, S.A.G. - ABOOD, B. Modelling an adaptive learning system using artificial intelligence. In Webology. ISSN 1735-188X, 2022, vol. 19, no. 1, pp. 1-18.
  [3.1] AL-HAMZI, Y.M. - SAHIBUDDIN, S.B. Neural network-based framework for understanding machine deep learning systems' open issues and future trends: A systematic literature review. In Turkish Journal of Computer and Mathematics Education (TURCOMAT). eISSN 1309-4653, 2021, vol. 12, no. 12, pp. 1567-1625.
  [3.1] ALMUFTI, S.M. - MARQAS, R.B. - NAYEF, Z.A. - MOHAMED, T.S. Real time face-mask detection with arduino to prevent COVID-19 spreading. In Qubahan Academic Journal. 2021, vol. 1, no. 2, pp. 39-46. doi: 10.48161/qaj.v1n2a47.
  [3.1] ALMUGBEL. Z. Bilingual summarization of English and Arabic genetic diseases texts. In International Journal for Innovation Education and Research. ISSN 2411-2933, 2021, pp. 342-732.
  [3.1] AMRANI, A. - KADDAH, R. - TAVELLA, J.P. - SCHUMANN, M. Integration and evaluation of deep reinforcement learning controller in a building co-simulation environment. In 5th Building Simulation and Optimization (BSO-V 2020). 2020, 8 p. https://hal.archives-ouvertes.fr/hal-02957010.
  [3.1] ANDRADE ARENAS, L.M. - LAVALLE SANDOVAL, J. - CABANILLAS-CARBONELL, M. - HERNÁNDEZ CELIS, D. Enterprise information security risks: asystematic review of the literature. In Indonesian Journal of Electrical Engineering and Computer Science. ISSN 502-4752, 2023, vol. 31, no. 3, pp. 1589-1604.
  [3.1] ANDRIAN, R. - FADHILAH, I. - PURBANDONO, A. Pengembangan prototype pembelajaran berbasis mobile untuk anak berkebutuhan khusus dengan design thinking. In Techno.Com. ISSN 1412-2693, 2023, vol. 22, no. 4, pp. 904-913.
  [3.1] ANTONIU, G. - VALDURIEZ, P. - HOPPE, H.C. - KRÜGER, J. Towards integrated hardware/software ecosystems for the edge-cloud-HPC continuum. In ETP4HPC: European Technology Platform for High Performance Computing, 2021, ETP4HPC White Papers. 2021, pp. 1-13. doi: 10.5281/zenodo.5534464.
  [3.1] ANTSIPEROV, V.E. Neuromorphic method for coding/restoring images specified by a stream of poisson counts. In Journal of Radio Electronics. eISSN 1684-1719, 2023, no. 11, pp. doi: 10.30898/1684-1719.2023.11.30.
  [3.1] ARONSON, D. - dos SANTOS, M. Identificação de regiões críticas para orientação de políticas públicas no combate ao COVID-19: apoio à decisão por meio daInteligência Artificial e do Método Multicritério THOR2. In 15º Congresso Brasileiro de Sistemas (CBS 2020). ISSN: 2446-6700, 2020, 19 p.
  [3.1] ASYIFAH, A. - SYAFI'I, A. - HANIPAH, H. - ISPIYANI, S. Pengembangan aplikasi e-commerce untuk peningkatan penjualan online. In Action Research Literate. ISSN 2808-6988, 2023, vol. 7, no. 1, pp. 70-75.
  [3.1] BANIECKI, H. - BIECEK, P. The grammar of interactive explanatory model analysis. In arXiv:2005.00497v2, 2020, 14 p.
  [3.1] BECKER, T. - MERKEL, E. Digitale arbeitswelten-auswirkungen auf wirtschaft und bildungssystem. In: Fend L., Hofmann J. (eds.): Digitalisierung in Industrie-, Handels-und Dienstleistungsunternehmen. Springer Gabler. ISBN 978-3-658-35949-2, 2022, pp. 305-331.
  [3.1] BRUNA, J. Aprenentatge algorísmic i xarxes neuronals profundes. In Butlletí de la Societat Catalana de Matemàtiques. 2021, vol. 36, pp. 5-67. doi: 10.2436/20.2002.01.97.
  [3.1] BULGAKOV, D.Y. Features of the distributed computing organization in the cloud infrastructure of isod of the mia of Russia. In Akademičeskaja mysľ. eISSN 2588-0020, 2021, pp. 13-15.
  [3.1] CAVALCANTI, L.F. - BERTON, L. Comparison of GANs for Covid-19 X-ray classification. In Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. 2021, pp. 25-36. doi: 0.5753/eniac.2021.18238.
  [3.1] CHEHAL, D. - GUPTA, P. - GULATI, P. - MADAAN, R. - BHATIA, K.K. Stress detection using machine learning techniques in IoT environment. In Smart Healthcare for Sustainable Urban Development. IGI Global. 2022, pp. 51-64. doi: 10.4018/978-1-6684-2508-4.ch004.
  [3.1] CHEHAL, D. - GUPTA, P. - GULATI, P. - MADAAN, R. - BHATIA, K.K. Stress detection using machine learning techniques in IoT environment. In Smart Healthcare for Sustainable Urban Development. IGI Global. 2022, pp. 51-64. doi: 10.4018/978-1-6684-2508-4.ch004.
  [3.1] CHEN, J. - WANG, Z. - ZHENG, H. - XIAO, J. - MING, Z. ROBY: Evaluating the robustness of a deep model by its decision boundaries. In arXiv:2012.10282v1. 2020, pp. 1-14.
  [3.1] CHIROMA, H. Deep learning algorithms based fingerprint authentication: systematic literature review. In Journal of Artificial Intelligence and Systems. eISSN 2642-2859, 2021, vol. 3, no. 1, pp. 157-197.
  [3.1] CHUNG, C.-J. - SHAMIR, L. Introducing machine learning with scratch and robots as a pilot program for K-12 computer science education. In Third International Conference on Future Learning (ICFL). 2020, 6 p. http://people.cs.ksu.edu/~lshamir/publications/ICFL2020.pdf.
  [3.1] CIL, I. - ARISOY, F. - KILINC, H. Visibility of resources and assets in the shipyard through industrial internet of things. In Global Journal of Computer Sciences: Theory and Research. 2021, vol. 11, no. 2, pp. 88-101. doi: 10.18844/gjcs.v11i2.5429.
  [3.1] CORRALES COMPAGNUCCI, M. - WILSON LOWERY, M. - FENWICK, M. - FORGÓ, N. - BÄRNIGHAUSEN T. Part III - Knowledge, risk and control. In eHealth: Human Autonomy, Data Governance and Privacy in Healthcare. Cambridge University Press. 2022, pp. 207-308. doi:10.1017/9781108921923.012.
  [3.1] DA SILVA, D.R. - DA COSTA, D.F. - PIMENTA, A. A Influência da Inteligência artificial na contabilidade e na tributação das organizações: uma revisão de literatura. In 22nd USP International Conference in Accounting: Accounting in favor of sustainable development. 2022, pp. 1-16. https://congressousp.fipecafi.org/anais/22UspInternational/ArtigosDownload/3929.pdf.
  [3.1] DAS, T. - KUMAR, V. - PRAKASH, A. - LYNN, A.M. Artificial intelligence in skin cancer: diagnosis and therapy. In Skin Cancer: Pathogenesis and Diagnosis. Springer. ISBN 978-981-16-0363-1, 2021, pp. 143-171.
  [3.1] DE ALMEIDA, C.D.F. - LIMA, J.P.D.O. - DE OLIVEIRA, J.V.M. - DE OLIVEIRA, R.C. - OLIVEIRA, E.F. Arquitetura de sistema em nuvem para apoio à implantação de visão computacional em linhas de produção na Indústria 4.0. In XV Simpósio Brasileiro de Automação Inteligente - SBAI 2021. ISSN 2175-8905, 2021, pp. 2091-2098.
  [3.1] DE OLIVEIRA SANTOS, F. - HAHN, I.S. A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing. In Multidisciplinary Business Review. 2023, vol. 16, no. 2, pp. 66-88. doi: 10.35692/07183992.16.2.6.
  [3.1] DLI, M. - PUCHKOV, A. - LOBANEVA, E. Analysis of the influence of the architecture of the input layers of convolution and subsampling of a deep neural network on the quality of image recognition. In Journal of Applied Informatics. ISSN 1993-8314, 2020, vol. 15, no. 1, pp. 113-122.
  [3.1] EFREMOV, M.A. - KHOLOD, I.I. Developing universal framework design for federated learning. In Software & System. 2022, vol. 2, no. 35, pp. 263-271. doi: 10.15827/0236-235X.138.263-272.
  [3.1] FAKHRI, M. - SIBUEA, R.B.V. - SILALAHI, T.K. Timeliness of spp payments at smk tritech infomatika using naive bayes algorithm. In Electronic Integrated Computer Algorithm Journal. 2023, vol. 1, no. 1, pp. 9-15. doi: 10.62123/enigma.v1i1.9.
  [3.1] FARIDAH, F. Revitalisasi bahasa daerah melalui tradisi batuter dengan metode imitasi model pada pembelajaran muatan lokal: upaya meningkatkan penguasaan bahasa ibu di kelas v sd negeri i tepas. In Action Research Literate. ISSN 2808-6988, 2023, vol. 7, no. 11, pp. 193-201.
  [3.1] FILHO, D.L.B. - ZAGANELLI, M.V. Civil liability and artificial intelligence: Who is responsible for damages caused by autonomous intelligent systems? In Derecho y Cambio Social. ISSN 2224-4131, 2021, no. 64, pp. 338-349.
  [3.1] FILHO, D.L.B. - ZAGANELLI, M.V. Responsabilidade civil e inteligência artificial: quem responde por danos ocasionados por sistemas inteligentes autônomos? (Civil liability and artificial intelligence: who is responsible for damages caused by autonomous intelligent). In
  [3.1] FORRADELLAS, R.R. Impacto de la transformación digital y la inteligencia artificial aplicado a negocio: factores económicos y legales. In: Sergio Luis Náñez Alonso,
  [3.1] GANIE, S.M. - MALIK, M.B. - ARIF, T. Machine learning techniques for diagnosis of type 2 diabetes using lifestyle data. In International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing. Springer. ISBN 978-981-16-3070-5, 2022, vol. 1394, pp. 487-497.
  [3.1] GODBOLE, M. - AGARWAL, A. - SAHAY, B.S. Application of AI/ML/NLP technology into the business process modelling. In International Journal of Advanced Research in Engineering and Technology (IJARET). ISSN 0976-6480, 2021, vol. 12, no. 5, pp. 37-50.
  [3.1] HAQQI, M.S. - KUSUMOPUTRO, B. Komparasi metode optimasi adam dan SGD dalam skema direct inverse control untuk sistem kendali data sikap dan ketinggian quadcopter. In ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika. ISSN 2338-8323, 2022, vol. 10, no. 2, pp. 458-469.
  [3.1] HASHMI, F.S. - NAEEM, O. - FARID, G. - ALI, A. - KAMRAN, M. Exploring the credibility and trustworthiness of web 2.0 tools during Covid-19 from the eyes of information providers. In Pakistan Journal of Medical & Health Sciences. 2023, vol. 17, no. 10, pp. 27-31. doi: 10.53350/pjmhs2023171027.
  [3.1] HIMANSHI - VASHISHTHA, J. A holistic study on aspect-based sentiment analysis. In International Joint Conference on Advances in Computational Intelligence (IJCACI 2022). 2022, pp. 233-249. doi: 10.1007/978-981-99-1435-7_20.
  [3.1] HOSSAIN, M. M. Using ChatGPT and other forms of generative AI in systematic reviews: Challenges and opportunities. In Journal of Medical Imaging and Radiation Science s. 2023, vol. 55, no. 1, pp. 11-12. dop: 10.1016/j.jmir.2023.11.005.
  [3.1] HUANG, G. - ZHOU, L. - SHI, J. - HUANG, J. - YANG, Y. - CHEN, N. - LIU, Q. - GONG, X. - WANG, Z. - TANG, L. - YU, W. Application and comparison of machine learning algorithms in disease risk prediction. In Chinese Health Resources. ISSN 1007-953X. 2020, vol. 23, no. 4, pp. 432-436.
  [3.1] HUANG, L. - LI, J. - DING, X. - ZHANG, Y. - CHEN, H. - OZCAN, A. Cycle-consistency-based uncertainty quantification of neural networks in inverse imaging problems. In Intelligent Computing. 2023, vol. 2. doi: 10.34133/icomputing.0071.
  [3.1] IBOLYA, S. A mesterségesintelligencia-rendszerek felelősségi kérdései az uniós dokumentumok és a magyar szabályozás tükrében. In Publicationes Universitatis Miskolcinensis, Sectio Juridica et Politica. 2022, vol. 40, no. 2, pp: 364-387. doi: 10.32978/sjp.2022.030.
  [3.1] IBOLYA, S. Examining the issues of legal personhood of artificial intelligence and robots. In Publicationes Universitatis Miskolciensis. Sectio Juridica et Politica. 2019, vol. 38, no. 1, pp. 467-486. doi: 10.32978.sjp.2020.026.
  [3.1] IRIAWAN, A.I. proses pemeriksaan saksi di persidangan pidana yang efektif efisien berdasarkan asas legalitas. In Action Research Literate. 2023, vol. 7, no. 11, pp. 178-192. doi: 10.46799/arl.v7i11.205.
  [3.1] ISLAM, M.J. - NGUYEN, H.A. - PAN, R. - RAJAN, H. What do developers ask about ML libraries? A large-scale study using stack overflow. In arXiv:1906.11940v1. 2019, 13 p.
  [3.1] JONAS, D. - YUSUF, N.A. - ZAHRA, A.R.A. Enhancing security frameworks with artificial intelligence in cybersecurity. In International Transactions on Education Technology. 2023, vol. 2, no. 1, pp. 83-91. doi: 10.33050/itee.v2i1.428.
  [3.1] JONES, G.M. - WINSTER, S.G. Analysis of crime report by data analytics using Python. In Challenges and Applications of Data Analytics in Social Perspectives. IGI Global. 2020, pp. 54-79. doi: 10.4018/978-1-7998-2566-1.ch003.
  [3.1] JOSEPH, L. - O'LEARY, M.L. - ZAGRÉ, B. Integrating hybrid grid partition and rough set method for fuzzy rule generation: a novel approach for accurate dataset classification. In International Journal of Enterprise Modelling. 2023, vol. 17, no. 2, pp. 88-98. doi: 10.35335/emod.v17i2.21.
  [3.1] KHAN, S.N. - KHAN, S.U. A review of industry and ai impact on human resource management. In Journal of Advancement in Computing. 2023, vol. 2. no. 1, pp. 30-38. doi: 10.36755/jac.v2i1.60.
  [3.1] KILIÇ, R. - ALBAYRAK ÜNAL, Ö. - ERKAYMAN, B. Fleet type planning for private air transport after Covid-19. In Gazi University Journal of Science Part C: Design and Technology. 2023, vol. 11, no. 2, pp. 475-485. doi: 10.29109/gujsc.1178375.
  [3.1] KIM, Y.-T. - JIN, K.H. Diffusive DTW algorithm for optimizing distance matrix computation structure. In Proceedings of the Korean Institute of Information and Commucation Sciences Conference. 2022, pp. 93-96. https://koreascience.kr/article/CFKO202232558482352.pdf.
  [3.1] KIOURT, C. - PAVLIDIS, G. - MARKANTONATOU, S. Deep learning approaches in food recognition. In: Tsihrintzis, G., Jain, L. (Eds): Machine Learning Paradigms. Learning and Analytics in Intelligent Systems. Springer. 2020, vol 18, pp. 1-26. https://doi.org/10.1007/978-3-030-49724-8_4
  [3.1] KOSTIĆ, M.A. - DRAŠKOVIĆ, D.D. Differentiable programming in machine learning. In Tehnika. 2023, vol. 78, no. 6, pp. 699-711. doi: 0.5937/tehnika2306699K.
  [3.1] KUMAR, A. - UPADHYAY, P. - KUMAR, A.S. Fuzzy machine learning algorithms for remote sensing image classification. CRC Press. ISBN 978-0-367-35571-5, 2020, 192 p.
  [3.1] KUČIN, J.J. - MUCHAMEDIEV, R. - MUCHAMEDIEVA, E. Ocenka vozmožnosti vydelenija zon plastovogo okislenija metodami mašinnogo obyčenija. In News. Series Physics and Information Technology. ISSN 1991-346X, 2023, vol. 3, pp. 210-222.
  [3.1] KĘDZIORA, E.J. - MAKSIM, G.K. Performance analysis of machine learning libraries. In Journal of Computer Sciences Institute (JCSI). 2021, vol. 20, pp. 230-236. doi: 10.35784/jcsi.2693.
  [3.1] LAMBA, M. - MADHUSUDHAN, M. Tools and techniques for text mining and visualization. In Text Mining for Information Professionals. Springer. 2022, pp. 295-318. doi: 10.1007/978-3-030-85085-2_10.
  [3.1] LENZ, U. Co-working mit Künstlicher Intelligenz: Szenarien für die Arbeit der Zukunft. In HR Consulting Review, Sonderband Zukunft der Arbeit. 2020, vol. 12, pp. 404-407.
  [3.1] LEVENTI-PEETZ, A.-M. - ÖSTREICH, T. Deep learning reproducibility and explainable ai (xai). In arXiv:2202.11452. 2022, pp.1-15.
  [3.1] LEWITA, K. - KRZEMIŃSKA, A. - KOZLOVSKA, P. - MILLER, T. Psychological impact of artificial intelligence on the science. In Mižnarodna naukova konferencija Kompleksnyj pidchid do modernizaciji nauky: metody modeli ta muľtidiscyplinarnisť (MCND). 2023, pp. 235-240.
  [3.1] MANIRIHO, P. - MAHMOOD, A.N. - CHOWDHURY, M.J.M. A Survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms. arXiv:2209.03622. 2022, pp. 1-24. doi: 10.48550/arXiv.2209.03622.
  [3.1] MARLINA, L. - KURNIAWAN, H. - WAHYUNI, S. Development of an e-learning model using cms moodle during Covid 19. In International Journal Of Computer Sciences and Mathematics Engineering. 2023, vol. 2, no. 2, pp. 248-253. doi: 10.61306/ijecom.v2i2.49.
  [3.1] MARTINS, A.B. - FONSECA, I. - FARINHA, J.T. - REIS, J. - MARQUES CARDOSO, A.J. Prediction maintenance based on vibration analysis and deep learning–a case study of a drying press supported on a hidden Markov model. In Available at SSRN 4194601. 2022, pp. 1-33.
  [3.1] MATHEW, P.S. - PILLAI, A.S. Boosting traditional healthcare-analytics with deep learning AI: Techniques, frameworks and challenges. In Enabling AI Applications in Data Science. Springer, Cham. ISBN 978-3-030-52066-3, 2020, pp. 335-365.
  [3.1] MAYO, S.M. Restrictions, challenges and opportunities for AI and ML. In International Journal of Innovations in Science & Technology (IJIST). ISSN 2709-6130, 2023, vol. 5, no. 2, pp. 121-132.
  [3.1] MENG, N. - DHIMOLEA, T.K. - ALI, Z. AI-enhanced education: Teaching and learning reimagined. In: Albert M.V., Lin L., Spector M.J., Dunn L.S. (eds.): Bridging Human Intelligence and Artificial Intelligence. Springer. ISBN 978-3-030-84728-9, 2022, pp. 107-124.
  [3.1] MIRANI, A.A. - MEMON, M.S. - CHOHAN, R. - WAGAN, A.A. - QABULIO, M. Machine learning in agriculture: A review. In International Journal of Scientific & Technology Research (IJSTR). ISSN 2277-8616, 2021, vol. 10, no. 5, pp. 229-234.
  [3.1] MORSHED, M.M. An empirical study of deep web based on graph analysis. In Social Science Research Network (SSRN). 2020, 11 p. https://ssrn.com/abstract=3720454.
  [3.1] NAGARHALLI, T.P. - SAVE, A.M. - SHEKOKAR, N.M. Fundamental models in machine learning and deep learning. In: Ramchandra S. Mangrulkar et al (eds.): Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques. Chapman and Hall/CRC. ISBN 978-0-367-67979, 2021, pp. 13-36.
  [3.1] NAQRASH, M. The influence of data mining in increasing benefits of libraries in Jordanian governmental universities. In Library Philosophy and Practice. ISSN 1522-0222, 2021, 14 p.
  [3.1] NAZARIA, K. - MAZAHERI, S. - BIGHAM, B.S. Creating a new color space utilizing PSO and FCM to perform skin detection by using neural network and ANFIS. In arXiv:2106.11563v1. 2021, 9 p.
  [3.1] NAZAROV, T.R. - MAMEDOVA, N.A. - URINCOV, A.I. Recommended parameters for testing and evaluating the effectiveness of a software package for detecting industrial objects on orthophoto planes. In III Vserossijskaja naučnaja konferencija s meždunarodnym yčastem Nauka, technologii, obščestvo: Ekologičeskoj imžiniring v interesach ustojčivogo razvitija territorij (NTO-III). 2022, pp. 470-479. doi: 10.47813/nto.3.2022.6.470-479.
  [3.1] NAZAROV, T.R. - MAMEDOVA, N.A. - URINTSOV, A.I. Recommended parameters for testing and evaluating the effectiveness of a software package for detecting industrial objects on orthophoto planes. In II Vserossijskaja naučnaja konferencija s meždunarodnym učastjem: Nauka, technologii, obščestvo: Ekologičeskij inžiniring v interesach ustojčivogo razvitija territorij (NTO-III). 2022, pp. 470-479. doi: 10.47813/nto.3.2022.6.470-479.
  [3.1] NAZAROV, T.R. - MAMEDOVA, N.A. Automatizirovannnoe rešenie zadači detektirovanija promyšlennych objektov na ortofotoplane s pomoščju nejronnoj seti. In Programmnyje produkty i sistemy. 2023, vol. 36, no. 1, pp. 144-158. doi: 10.15827/0236-235X.141.144-158.
  [3.1] OKUBOYEJO, S. - HAQBEEN, J. - ITO, T. Evaluating the performance of machine learning classifiers on predicting hypothyroidism for public healthcare good. In IIAI Letters on Informatics and Interdisciplinary Research. 2023, vol. 4, pp. 1-. doi: 10.52731/liir.v004.166.
  [3.1] OWHONDA, G. - LUKE,A. - INYELE, J.R. - EZE-EMIRI, C. The data analysis and validation engine: An application of artificial intelligence in the improvement of COVID-19 data management. In International Journal of Community Medicine and Public Health. ISSN 2394-6032, 2022, vol. 9, no. 6, pp. 2437-2441.
  [3.1] PAAN, W. - LENG, Y. - JIANG, Q. -WU, T. End-to-end aircraft wake feature parameter estimation. In Ship Electronic Engineering. ISSN 1672-9730, 2022, vol. 42. no. 9, pp. 87-91.
  [3.1] PANCIROLI, C. - RIVOLTELLA, P.C. - GABBRIELLI, M. - RICHTER, O.Z. Artificial intelligence and education: New research perspectives. In Form@re. Open Journal per la formazione in rete. ISSN 1825-7321, 2020, vol. 20, no. 3, pp. 1-12.
  [3.1] PARLAK, İ.E. - ÇELIK, M.T. - IŞIK, G. - YILDIZ, A. Determination of critical factors for the success of machine learning libraries by considering fuzzy factor interrelationships. In Available at SSRN 4642987. 2023. doi: 10.2139/ssrn.4642987.
  [3.1] PEREZ-CERROLAZA, J. - ABELLA, J. - BORG, M. - DONZELLA, C. - CERQUIDES, J. - CAZORLA, F.J. et al. Artificial intelligence for safety-critical systems in industrial and transportation domains: A survey. In ACM Computing Surveys. 2023, pp. 1-38. doi: 10.1145/3626314.
  [3.1] PIO, P.B. - RIVOLLI, A. - DE CARVALHO, A.C. - GARCIA, L.P. Noise filter with hyperparameter recommendation: a meta-learning approach. In Anais do XX Encontro Nacional de Inteligência Artificial e Computacional. 2023, pp. 625-639. doi: 10.5753/eniac.2023.234295.
  [3.1] RAGHAVENDRA, M.K. - SRAVANI, P. - NIKITHA, K. - UMASRI, K. IOT and machine learning approch rapid screening for covid-19. In Journal of Engineering Sciences. ISSN:0377-9254, 2022. vol. 13, no. 07, pp. 1-8.
  [3.1] RAHARDJA, U. - AINI, Q. - SUNARYA, P.A. - MANONGGA, D. - JULIANINGSIH, D. The use of tensorflow in analyzing air quality artificial intelligence predictions PM2.5. In Aptisi Transactions on Technopreneurship (ATT). 2022, vol. 4, no. 3, pp. 313-324. doi: 10.34306/att.v4i3.282.
  [3.1] RAJU, B. - BONAGIRI, R. A cavernous analytics using advanced machine learning for real world datasets in research implementations. In Materialstoday: Proceedings. ISSN 2214-7853, 2020, pp. 1-6.
  [3.1] RAMAN, D.R. - SARAVANAN, D. - PARTHIBAN, R. - PALANI, D.U. - DAVID, D.D.S. - USHARANI, S. - JAYAKUMAR, D. A study on application of various artificial intelligence techniques on internet of things. In European Journal of Molecular & Clinical Medicine (EJMCM). ISSN 2515-8260, 2020, vol. 7, no. 9, pp. 2531-2557.
  [3.1] RAMBA, L.S. - ARIA, M. Design of a voice controlled home automation system using deep learning convolutional neural network (DL-CNN). In Telekontran. ISSN 2303-2901, 2020, vol. 8, no. 1, pp. 57-73.
  [3.1] RAMDANI, F. - FURQON, M.T. The simplicity of XGBoost algorithm versus the complexity of random forest, support vector machine, and neural networks algorithms in urban forest classification. In F1000Research. 2022, pp. 1-14. doi: 10.12688/f1000research.124604.1.
  [3.1] RETKOWITZ, D. Datenbasierte algorithmen zur unterstützung von entscheidungen mittels künstlicher neuronaler netze. In Frick D. et al. (eds.): Data Science. Springer Vieweg, Wiesbaden. 2021, pp. 209-224. doi: 10.1007/978-3-658-33403-1_13.
  [3.1] ROH, J. - CHO, S.-Y. - LIM, S.-H. Web service platform for customizing and inference of deep learning model. In Proceedings of the Korea Information Processing Society Conference. ISSN 2005-0011, 2020, vol. 27, no. 2, pp. 934-936.
  [3.1] ROSELINE, V. - CHELLAM, G.H. A novel fusion attention algorithm for sentimental image analysis. In Indian Journal of Science and Technology. ISSN 0974-6846, 2022, vol. 15, no. 9, pp. 386-394.
  [3.1] SAADAT, Md N. - SHUAIB, M. Advancements in deep learning theory and applications: Perspective in 2020 and beyond. In Advances and Applications in Deep Learning. IntechOpen. 2020, pp. 1-19. doi: 10.5772/intechopen.92271.
  [3.1] SAKHNYUK, P.A. - SAKHNYUK, T.I. Study of the relationship of citizens’appeals to the open portal of the government of moscow with the socio-economic indicators of the administrative district. In Krasnoyarsk Science. 2023, vol. 12, no. 2, pp. 172-190. doi: 10.12731/2070-7568-2023-12-2-172-190.
  [3.1] SARUMATHI, S. - VAISHNAVI, M. - GEETHA, S. - RANJETHA, P. Comparative analysis of machine learning tools: A review. In International Journal of Computer and Information Engineering. ISSN 2010-3921, 2021, vol. 15, no. 6, pp. 354-363.
  [3.1] SAYED, S.A. - ABDEL-HAMID, Y. - HEFNY, H.A. Artificial intelligence-based traffic flow prediction: a comprehensive review. In Journal of Electrical Systems and Information Technology. 2023, vol. 10, no. 1, pp. 1-42. doi: 10.1186/s43067-023-00081-6.
  [3.1] SHAHVAROUGHI FARAHANI, M. - ESFAHANI, A. Opportunities and challenges of applying artificial intelligence in the financial sectors and startups during the coronavirus outbreak. In International journal of Innovation in Management Economics and Social Science. ISSN 2783-2678, 2022, vol. 2, no. 4, pp. 33-55.
  [3.1] SHARMA, S. - CHAURASIA, P. Artificial intelligence in education: Retrospect and prospect. In University News. A Weekly Journal of Higher Education. ISSN 0566-2257, 2023, vol. 61, pp. 24-29.
  [3.1] SHUBITA, A.F. - SALEH, Y. The application of artificial intelligence technology in cultural heritage development. In International Journal of Recent Technology and Engineering (IJRTE). ISSN 2277-3878, 2020, vol. 8., no. 5, pp. 1140-1146.
  [3.1] STEIN, J.-P. - MESSINGSCHLAGER, T. - HUTMACHER, F. Künstliche intelligenz. In: Appel, M., Hutmacher, F., Mengelkamp, C., Stein, J.P., Weber, S. (eds.): Digital ist besser?! Psychologie der Online-und Mobilkommunikation. Springer, Berlin, Heidelberg. 2023, pp. 247-260. doi: 10.1007/978-3-662-66608-1_17.
  [3.1] SUBASI, A. - QURESHI, S.A. - BRAHIMI, T. - SERIRETI, A. COVID-19 detection from X-ray images using artificial intelligence. In Miltiadis D. Lytras, Akila Sarirete, Anna Visvizi, Kwok Tai Chui (Eds.): Artificial Intelligence and Big Data Analytics for Smart Healthcare. Academic Press. ISBN 978-0-12-822060-3, 2021, pp. 209-224.
  [3.1] SULEIMAN, D. - AL-ZEWAIRI, M. - ETAIWI, W. - AL-NAYMAT, G. Empirical evaluation of the classification of deep learning under big data processing platforms. In International Journal of Advanced Trends in Computer Science and Engineering. ISSN 2278-3091, 2020, vol. 9, no. 5, pp. 9189-9196.
  [3.1] THANGAVELOO, S. - YASIN, S.M. Development of face mask detection system using arduino alert feature. In Applied Information Technology And Computer Science (AITC). eISSN 2773-5141, 2023, vol. 4, no. 1, pp. 935-951.
  [3.1] TOMBE, R.- VIRIRI, S. Remote sensing image scene classification: Advances and open challenges. In Geomatics. 2023, vol. 3, no. 1, pp. 137-155. doi: 10.3390/geomatics3010007.
  [3.1] TURKTARHAN, G. - ALEONG, D.S. - ALEONG, C. Re-architecting the firm for increased value: How business models are adapting to the new AI environment. In Journal of Global Business Insights. ISSN 2640-6470. 2022, vol. 7, no. 1, pp. 33-49. doi: 10.5038/2640-6489.7.1.1154.
  [3.1] UDAWANT, P. - SRINATH, P. Leaf diagnosis using transfer learning. In Iyer, B., Ghosh, D., Balas, V.E. (eds.): Applied Information Processing Systems. Advances in Intelligent Systems and Computing. Springer. ISSN 2194-5357, 2022, vol. 1354, pp. 235-246.
  [3.1] UMACHANDRAN, K. - DINESH, D. Deep learning: Foundational preparation for upskilling. In International Conference on Emerging Technology and Interdisciplinary Sciences. 2021, pp. 29-39. doi: 10.57040/icetis.vi.4.
  [3.1] VAVILOVA, D.D. - KETOVA, K.V. Neural network model for forecasting human capital. In Intelligent Systems in Manufacturing. ISSN 1813-7911, 2020, vol. 18, no. 1, pp. 26-35.
  [3.1] VOSKERGIAN, D. - ISHAQ, I. Smart e-waste management system utilizing internet of things and deep learning approaches. In Journal of Smart Cities and Society. 2023, pp. 77-98. doi: 10.3233/SCS-230007.
  [3.1] WICHT, P. - HAUSMANN, A. - HOSEINI, S. et al. Aufbau eines data-science-teams – „Lessons learned“. In Wirtschaftsinformatik & Management. ISSI 1867-5905, 2021, vol. 13, pp. 266-275.
  [3.1] XING, Z. - HUANG, M. - PENG, D. Overview of machine learning-based traffic flow prediction. In Digital Transportation and Safety. 2023, vol. 2, no. 3, pp. 164-175. doi: 10.48130/DTS-2023-0013.
  [3.1] YASEEN, A.T. Data mining between classical and modern applications: A review. In AL-Rafidain Journal of Computer Sciences and Mathematics. 2021, vol. 15, no. 2, pp. 171-191. doi: 10.33899/csmj.2021.170020.
  [3.1] YIN, M. - ZHANG, H. - VAN RENESSE, R. - SIRER, E.G. CedrusDB: Persistent key-value store with memory-mapped lazy-trie. In arXiv:2005.13762.v1. 2020, pp. 1-15.
  [3.1] YUNUSA, A.A. - ZAMBUK, F.U. - YA'U, B.I. - HUSSAINI, H. - HARUNA, I. An adversarial examples against deep learning-based network intrusion detection system: A review. In ATBU Journal of Science, Technology and Education. ISSN: 2277-0011, 2023, vol. 11, no. 2, pp. 189-204.
  [3.1] ZHANG, C. - DIAO, C. - GUO, T. GeoAI for Agriculture. In: Song Gao. YingjieHu, Wenwen Li (eds.): Handbook of Geospatial Artificial Intelligence. CRC Press. ISBN 978-1-032-31166-1, 2023, 330-350.
• ŠELENG, Martin** - DLUGOLINSKÝ, Štefan - HLUCHÝ, Ladislav - GRÄTHER, Wolfgang. Improving inter-enterprise collaboration with recommendation tool based on lightweight semantics in emails. In Procedia Computer Science, 2018, vol. 138, p. 486-491. (2017: 0.258 - SJR). ISSN 1877-0509. Dostupné na: https://doi.org/10.1016/j.procs.2018.10.067 (CENTERIS/ProjMAN/HCist 2018 : International Conference on ENTERprise Information Systems / International Conference on Project MANagement / International Conference on Health and Social Care Information Systems and Technologies) Typ: ADMB
  Citácie:

  [1.1] BEHERA, Rajat Kumar - GUNASEKARAN, Angappa - GUPTA, Shivam - KAMBOJ, Shampy - BALA, Pradip Kumar. Personalized digital marketing recommender engine. In JOURNAL OF RETAILING AND CONSUMER SERVICES. ISSN 0969-6989, 2020, vol. 53, no., pp., Registrované v: WOS
  [1.1] JOSEPHNG, P. S. - YEO, R. C. - WONG, J. H. - TAN, P. H. - YONG, Y. H. - SEE, S. L. PSTN Enterprise Collaboration Systems. In PERVASIVE COMPUTING AND SOCIAL NETWORKING, ICPCSN 2022, 2023, vol. 475, no., pp. 803-816. ISSN 2367-3370. Dostupné na: https://doi.org/10.1007/978-981-19-2840-6_60, Registrované v: WOS
• ALIC, Andy S. - ANTONACCI, Marica - CABALLER, Miguel - CAMPOS, Isabel - COSTANTINI, Alessandro - DAVID, Mario - DLUGOLINSKÝ, Štefan - DONVITO, Giacinto - DUMA, Cristina - GOMES, Jorge - HARDT, Marcus - HEREDIA, Ignacio - HLUCHÝ, Ladislav - ITO, Keiichi - KOZLOV, Valentin - LLORET, Lara - LÓPEZ GARCÍA, Álvaro - MARCO DE LUCAS, Jesús - MATYSKA, Ludek - MOLTÓ, Germán - NGUYEN, Giang - ORVIZ, Pablo - PLOCIENNIK, Marcin - ŠUSTR, Zdeněk - TRAN, Viet - WOLNIEWICZ, Pawel - ZU CASTELL, Wolfgang. DEEP framework for deep learning. In ISC High Performance. - Frankfurt, Germany, 2020, poster na konferencii. Typ: GII
• HLUCHÝ, Ladislav** - BOBÁK, Martin - MÜLLER, Henning - GRAZIANI, Mara - MAASSEN, Jason - SPREEUW, Hanno - HEIKKURINEN, Matti - PANCAGE-STEEG, Jörg - SPAHR, Stefan - VOR DEM GENTSCHEN FELDE, Nils Otto - HÖB, Maximilian - SCHMIDT, Jan - BELLOUM, Adam S.Z. - CUSHING, Reginald - NOWAKOWSKI, Piotr - MEIZNER, Jan - RYCERZ, Katarzyna - WILK, Bartosz - BUBAK, Marian - HABALA, Ondrej - ŠELENG, Martin - DLUGOLINSKÝ, Štefan - TRAN, Viet - NGUYEN, Giang. Heterogeneous exascale computing. In Recent advances in intelligent engineering : volume dedicated to Imre J. Rudas' seventieth birthday. - Cham, Switzerland : Springer, 2020, p. 81-110. ISBN 978-3-030-14349-7. ISSN 2193-9411. Dostupné na: https://doi.org/10.1007/978-3-030-14350-3_5 Typ: AECA
  Citácie:

  [1.1] CAINO-LORES, Silvina - CARRETERO, Jesus - NICOLAE, Bogdan - YILDIZ, Orcun - PETERKA, Tom. Toward High-Performance Computing and Big Data Analytics Convergence: The Case of Spark-DIY. In IEEE ACCESS. ISSN 2169-3536, 2019, vol. 7, no., pp. 156929-156955., Registrované v: WOS
  [1.1] GAO, Jiangang - ZHENG, Fang - QI, Fengbin - DING, Yajun - LI, Hongliang - LU, Hongsheng - HE, Wangquan - WEI, Hongmei - JIN, Lifeng - LIU, Xin - GONG, Daoyong - WANG, Fei - ZHENG, Yan - SUN, Honghui - ZHOU, Zhou - LIU, Yong - YOU, Hongtao. Sunway supercomputer architecture towards exascale computing: analysis and practice. In SCIENCE CHINA-INFORMATION SCIENCES. ISSN 1674-733X, 2021, vol. 64, no. 4, pp., Registrované v: WOS
  [1.1] HE, X.B. - CHEN, X. - GUO, H. - LIU, X. - CHEN, D.X. - YANG, Y.L. - GAO, J. - FENG, Y.L. - CHEN, L.D. - DIAO, X.A. - CHEN, Z.N. Scalability and efficiency challenges for the exascale supercomputing system: practice of a parallel supporting environment on the Sunway exascale prototype system. In FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING. ISSN 2095-9184, JAN 2023, vol. 24, no. 1, p. 41-58. Dostupné na: https://doi.org/10.1631/FITEE.2200412, Registrované v: WOS
  [1.1] LIU, Jian - YAN, Zhen - HAO, Junying - LIU, Weimin. The influence of proton radiation on the friction and wear of Ti:WSsub2/sub/P201 composite lubricating materials for space application. In WEAR, 2024, vol. 538, no., pp. ISSN 0043-1648., Registrované v: WOS
  [1.1] ZHUO, Xin - CAO, Jun - HUANG, Haibo - LIU, Li - SUO, Xinkun - YE, Peiqing - ABBAS, Zeshan. Cavitation erosion resistance and tribological performance of PAI/PI/EP soft coating on 20CrMo. In WEAR, 2024, vol. 536, no., pp. ISSN 0043-1648., Registrované v: WOS
  [1.2] KUMAR, Avneesh - KUMAR, Sandeep - SRIVASTAVA, Mudit Prakash - YADAV, Prachi - SURBHI - RANA, Devendra Kumar. Structural and Optical Properties of Chalcogenide WSinf2/inf Thin Film. In Springer Proceedings in Materials, 2024-01-01, 37, pp. 267-274. ISSN 26623161. Dostupné na: https://doi.org/10.1007/978-981-99-6766-7_24, Registrované v: SCOPUS
• LÓPEZ GARCÍA, Álvaro** - MARCO DE LUCAS, Jesús - ANTONACCI, Marica - ZU CASTELL, Wolfgang - DAVID, Mario - HARDT, Marcus - LLORET, Lara - MOLTÓ, Germán - PLOCIENNIK, Marcin - TRAN, Viet - ALIC, Andy S. - CABALLER, Miguel - CAMPOS, Isabel - COSTANTINI, Alessandro - DLUGOLINSKÝ, Štefan - DUMA, Cristina - DONVITO, Giacinto - GOMES, Jorge - HEREDIA, Ignacio - ITO, Keiichi - KOZLOV, Valentin - NGUYEN, Giang - ORVIZ, Pablo - ŠUSTR, Zdeněk - WOLNIEWICZ, Pawel. A cloud-based framework for machine learning workloads and applications. In IEEE Access, 2020, vol. 8, no. 1, p. 18681-18692. (2019: 3.745 - IF, Q1 - JCR, 0.775 - SJR, Q1 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2020.2964386 Typ: ADCA
  Citácie:

  [1.1] BARRAK, Amine - PETRILLO, Fabio - JAAFAR, Fehmi. Serverless on Machine Learning: A Systematic Mapping Study. In IEEE ACCESS, 2022, vol. 10, no., pp. 99337-99352. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3206366, Registrované v: WOS
  [1.1] BEN DHAOU, Imed. Design and Implementation of an Internet-of-Things-Enabled Smart Meter and Smart Plug for Home-Energy-Management System. In ELECTRONICS, 2023, vol. 12, no. 19, pp., Registrované v: WOS
  [1.1] CLARK, Sierra N. - ALLI, Abosede S. - BRAUER, Michael - EZZATI, Majid - BAUMGARTNER, Jill - TOLEDANO, Mireille B. - HUGHES, Allison F. - NIMO, James - BEDFORD MOSES, Josephine - TERKPERTEY, Solomon - VALLARINO, Jose - AGYEI-MENSAH, Samuel - AGYEMANG, Ernest - NATHVANI, Ricky - MULLER, Emily - BENNETT, James - WANG, Jiayuan - BEDDOWS, Andrew - KELLY, Frank - BARRATT, Benjamin - BEEVERS, Sean - ARKU, Raphael E. High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Ghana. In BMJ OPEN. ISSN 2044-6055, 2020, vol. 10, no. 8, pp., Registrované v: WOS
  [1.1] CLARK, Sierra N. - ALLI, Abosede S. - NATHVANI, Ricky - HUGHES, Allison - EZZATI, Majid - BRAUER, Michael - TOLEDANO, Mireille B. - BAUMGARTNER, Jill - BENNETT, James E. - NIMO, James - MOSES, Josephine Bedford - BAAH, Solomon - AGYEI-MENSAH, Samuel - OWUSU, George - CROFT, Briony - ARKU, Raphael E. Space-time characterization of community noise and sound sources in Accra, Ghana. In SCIENTIFIC REPORTS. ISSN 2045-2322, 2021, vol. 11, no. 1, pp., Registrované v: WOS
  [1.1] COBO, M. - PÉREZ-ROJAS, F. - GUTIÉRREZ-RODRÍGUEZ, C. - HEREDIA, I. - MARAGAŇO-LIZAMA, P. - YUNG-MANRIQUEZ, F. - IGLESIAS, L.L. - VEGA, J.A. Novel deep learning method for coronary artery tortuosity detection through coronary angiography. In SCIENTIFIC REPORTS. ISSN 2045-2322, JUL 10 2023, vol. 13, no. 1. Dostupné na: https://doi.org/10.1038/s41598-023-37868-6, Registrované v: WOS
  [1.1] DARADKEH, Tariq - AGARWAL, Anjali - ZAMAN, Marzia - GOEL, Nishith. Dynamic K-Means Clustering of Workload and Cloud Resource Configuration for Cloud Elastic Model. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, no., pp. 219430-219446., Registrované v: WOS
  [1.1] DHAYA, R. - KANTHAVEL, R. Cloud-based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure. In AUTOMATED SOFTWARE ENGINEERING. ISSN 0928-8910, 2021, vol. 28, no. 2, pp., Registrované v: WOS
  [1.1] DIAMANTIS, Dimitrios E. - IAKOVIDIS, Dimitris K. ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 51970-51982., Registrované v: WOS
  [1.1] DIAZ-DE-ARCAYA, Josu - MINON, Raul - TORRE-BASTIDA, Ana - DEL SER, Javier - ALMEIDA, Aitor. PADL: A Modeling and Deployment Language for Advanced Analytical Services dagger. In SENSORS, 2020, vol. 20, no. 23, pp., Registrované v: WOS
  [1.1] GONZALEZ-VIDAL, Aurora - GOMEZ-BERNAL, Paula - MENDOZA-BERNAL, Jose - SKARMETA, Antonio F. BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS. In 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2021, vol., no., pp. 2894-2900. ISSN 2639-1589. Dostupné na: https://doi.org/10.1109/BigData52589.2021.9671633, Registrované v: WOS
  [1.1] HAYMOND, Shannon - MCCUDDEN, Christopher. Rise of the Machines: Artificial Intelligence and the Clinical Laboratory. In JOURNAL OF APPLIED LABORATORY MEDICINE. ISSN 2576-9456, 2021, vol. 6, no. 6, pp. 1640-1654. Dostupné na: https://doi.org/10.1093/jalm/jfab075, Registrované v: WOS
  [1.1] HUSSEIN, Mahmoud - MOHAMMED, Yehia Sayed - GALAL, Ahmed - ABD-ELRAHMAN, Emad - ZORKANY, Mohamed. Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller. In SENSORS, 2022, vol. 22, no. 14, pp. Dostupné na: https://doi.org/10.3390/s22145106, Registrované v: WOS
  [1.1] KHEIR, Ahmed M. S. - AMMAR, Khalil A. - AMER, Ahmed - ALI, Marwa G. M. - DING, Zheli - ELNASHAR, Abdelrazek. Machine learning-based cloud computing improved wheat yield simulation in arid regions. In COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2022, vol. 203, no., pp. ISSN 0168-1699. Dostupné na: https://doi.org/10.1016/j.compag.2022.107457, Registrované v: WOS
  [1.1] KOLLTVEIT, Ask Berstad - LI, Jingyue. Operationalizing Machine Learning Models A Systematic Literature Review. In 2022 IEEE/ACM 1ST INTERNATIONAL WORKSHOP ON SOFTWARE ENGINEERING FOR RESPONSIBLE ARTIFICIAL INTELLIGENCE (SE4RAI 2022), 2022, vol., no., pp. 1-8. Dostupné na: https://doi.org/10.1145/3526073.3527584, Registrované v: WOS
  [1.1] KREUZBERGER, D. - KüHL, N. - HIRSCHL, S. Machine Learning Operations (MLOps): Overview, Definition, and Architecture. In IEEE ACCESS. ISSN 2169-3536, 2023, vol. 11, p. 31866-31879. Dostupné na: https://doi.org/10.1109/ACCESS.2023.3262138, Registrované v: WOS
  [1.1] LIMA, Anderson - MONTEIRO, Luciano - FURTADO, Ana. MLOps: Practices, Maturity Models, Roles, Tools, and Challenges A Systematic Literature Review. In ICEIS: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS VOL 1, 2022, vol., no., pp. 308-320. Dostupné na: https://doi.org/10.5220/0010997300003179, Registrované v: WOS
  [1.1] LIN, Changyuan - KHAZAEI, Hamzeh. Modeling and Optimization of Performance and Cost of Serverless Applications. In IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. ISSN 1045-9219, 2021, vol. 32, no. 3, pp. 615-632., Registrované v: WOS
  [1.1] MARTINEZ-FERNANDEZ, Silverio - BOGNER, Justus - FRANCH, Xavier - ORIOL, Marc - SIEBERT, Julien - TRENDOWICZ, Adam - VOLLMER, Anna Maria - WAGNER, Stefan. Software Engineering for AI-Based Systems: A Survey. In ACM TRANSACTIONS ON SOFTWARE ENGINEERING AND METHODOLOGY, 2022, vol. 31, no. 2, pp. ISSN 1049-331X. Dostupné na: https://doi.org/10.1145/3487043, Registrované v: WOS
  [1.1] MATEUS-COELHO, Nuno - CRUZ-CUNHA, Manuela. Serverless Service Architectures and Security Minimals. In 2022 10TH INTERNATIONAL SYMPOSIUM ON DIGITAL FORENSICS AND SECURITY (ISDFS), 2022, vol., no., pp. Dostupné na: https://doi.org/10.1109/ISDFS55398.2022.9800779, Registrované v: WOS
  [1.1] MOHAMMAD, Abdul Salam - PRADHAN, Manas Ranjan. Machine learning with big data analytics for cloud security. In COMPUTERS & ELECTRICAL ENGINEERING. ISSN 0045-7906, 2021, vol. 96, no., pp. Dostupné na: https://doi.org/10.1016/j.compeleceng.2021.107527, Registrované v: WOS
  [1.1] ORUCHE, Roland - MILMAN, Eric - ALARCON, Mauro Lemus - CHENG, Xiyao - PANDEY, Ashish - WANG, Songjie - CALYAM, Prasad - KEE, Kerk. Science gateway adoption using plug-in middleware for evidence-based healthcare data management. In CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, vol., no., pp. ISSN 1532-0626. Dostupné na: https://doi.org/10.1002/cpe.7195, Registrované v: WOS
  [1.1] RAMACHANDRA, Hv - BALARAJU, G. - DIVYASHREE, R. - PATIL, Harish. Design and Simulation of Loan Approval Prediction Model using AWS Platform. In 2021 INTERNATIONAL CONFERENCE ON EMERGING SMART COMPUTING AND INFORMATICS (ESCI), 2021, vol., no., pp. 53-56., Registrované v: WOS
  [1.1] ROBERTSON, James - FOSSACECA, John - BENNETT, Kelly. A Cloud-Based Computing Framework for Artificial Intelligence Innovation in Support of Multidomain Operations. In IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT. ISSN 0018-9391, 2021, vol., no., pp. Dostupné na: https://doi.org/10.1109/TEM.2021.3088382, Registrované v: WOS
  [1.1] SADEGHIAN, G. - ELSAKHAWY, M. - SHAHRAD, M. - HATTORI, J. - SHAHRAD, M. UnFaaSener: Latency and Cost Aware Offloading of Functions from Serverless Platforms. In PROCEEDINGS OF THE 2023 USENIX ANNUAL TECHNICAL CONFERENCE. 2023, p. 879-896., Registrované v: WOS
  [1.1] STEIDL, M. - FELDERER, M. - RAMLER, R. The pipeline for the continuous development of artificial intelligence models-Current state of research and practice. In JOURNAL OF SYSTEMS AND SOFTWARE. ISSN 0164-1212, MAY 2023, vol. 199. Dostupné na: https://doi.org/10.1016/j.jss.2023.111615, Registrované v: WOS
  [1.1] TANGARO, Marco Antonio - MANDREOLI, Pietro - CHIARA, Matteo - DONVITO, Giacinto - ANTONACCI, Marica - PARISI, Antonio - BIANCO, Angelica - ROMANO, Angelo - BIANCHI, Daniela Manila - CANGELOSI, Davide - UVA, Paolo - MOLINERIS, Ivan - NOSI, Vladimir - CALOGERO, Raffaele A. - ALESSANDRI, Luca - PEDRINI, Elena - MORDENTI, Marina - BONETTI, Emanuele - SANGIORGI, Luca - PESOLE, Graziano - ZAMBELLI, Federico. Laniakea@ReCaS: exploring the potential of customisable Galaxy on-demand instances as a cloud-based service. In BMC BIOINFORMATICS. ISSN 1471-2105, 2021, vol. 22, no. SUPPL 15, pp. Dostupné na: https://doi.org/10.1186/s12859-021-04401-3, Registrované v: WOS
  [1.1] VAN DUNG NGUYEN - HUYNH VAN KHOA - TAM NGUYEN KIEU - EUI-NAM HUH. Internet of Things-Based Intelligent Attendance System: Framework, Practice Implementation, and Application. In ELECTRONICS, 2022, vol. 11, no. 19, pp. Dostupné na: https://doi.org/10.3390/electronics11193151, Registrované v: WOS
  [1.1] WANG, Z.Z. - SUN, H. - YANG, L.P. A Bibliometric Analysis of Research on Historical Buildings and Digitization. In BUILDINGS. JUL 2023, vol. 13, no. 7. Dostupné na: https://doi.org/10.3390/buildings13071607, Registrované v: WOS
  [1.1] WITANTO, Elizabeth Nathania - OKTIAN, Yustus Eko - LEE, Sang-Gon. Toward Data Integrity Architecture for Cloud-Based AI Systems. In SYMMETRY-BASEL, 2022, vol. 14, no. 2, pp. Dostupné na: https://doi.org/10.3390/sym14020273, Registrované v: WOS
  [1.2] HARISH, Manjunath - SELVARAJ, Saravana Kumar. Designing efficient streaming-data processing for intrusion avoidance and detection engines using entity selection and entity attribute approach. In AIP Conference Proceedings, 2023-08-24, 2790, 1, pp. ISSN 0094243X. Dostupné na: https://doi.org/10.1063/5.0152916, Registrované v: SCOPUS
  [1.2] JAGATI, Anika - SUBBULAKSHMI, T. Building ML Workflow for Malware Images Classification using Machine Learning Services in Leading Cloud Platforms. In Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023, 2023-01-01, pp. 233-239. Dostupné na: https://doi.org/10.1109/CISES58720.2023.10183421, Registrované v: SCOPUS
  [1.2] LEMUS ALARCON, Mauro - ORUCHE, Roland - PANDEY, Ashish - CALYAM, Prasad. Cloud-based data pipeline orchestration platform for COVID-19 evidence-based analytics. In Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19, 2022-01-01, pp. 159-180. Dostupné na: https://doi.org/10.1016/B978-0-323-90054-6.00003-9, Registrované v: SCOPUS
  [1.2] LI, Baolin - ROY, Rohan Basu - PATEL, Tirthak - GADEPALLY, Vijay - GETTINGS, Karen - TIWARI, Devesh. Ribbon: Cost-effective and qos-Aware deep learning model inference using a diverse pool of cloud computing instances. In International Conference for High Performance Computing, Networking, Storage and Analysis, SC. ISSN 21674329, 2021-11-14, pp. Dostupné na: https://doi.org/10.1145/3458817.3476168, Registrované v: SCOPUS
  [1.2] MENG, Fan - HU, Kunrong - ZHOU, Xiaotao. An Overview of PAI: Distributed Machine Learning Platform. In IMCEC 2022 IEEE 5th Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2022-01-01, pp. 852-857. Dostupné na: https://doi.org/10.1109/IMCEC55388.2022.10020005, Registrované v: SCOPUS
  [1.2] NANDIGRAMWAR, Harshal - MITTAL, Akshay - BHATNAGAR, Apoorv - RASHID, Mamoon. A distributed and unified API service for machine learning models. In Proceedings of 2021 2nd International Conference on Intelligent Engineering and Management, ICIEM 2021, 2021-04-28, pp. 480-485. Dostupné na: https://doi.org/10.1109/ICIEM51511.2021.9445348, Registrované v: SCOPUS
  [1.2] PERIOLA, A. A. - ALONGE, A. A. - OGUDO, K. A. Intelligent scheduling for stratosphere cloud platforms. In 2020 International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2020 Proceedings, 2020-08-01, pp., Registrované v: SCOPUS
  [1.2] SAKTHIDEVI, I. - RAJKUMAR, G. Vinoth - SUNITHA, R. - SANGEETHA, A. - KRISHNAN, R. Santhana - SUNDARARAJAN, S. Machine Learning Orchestration in Cloud Environments: Automating the Training and Deployment of Distributed Machine Learning AI Model. In 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 Proceedings, 2023-01-01, pp. 376-384. Dostupné na: https://doi.org/10.1109/I-SMAC58438.2023.10290278, Registrované v: SCOPUS
  [1.2] SINGH, Atul Kumar - KOSHY, Aditya Sam - GUPTA, Megha. Cloud Computing for Machine Learning and Cognitive Application. In Cloud-based Intelligent Informative Engineering for Society 5.0, 2023-01-01, pp. 107-122. Dostupné na: https://doi.org/10.1201/9781003213895-6, Registrované v: SCOPUS
  [3.1] AGUIAR, C.S.R. Desafios na adoção de MLOps por time DevOps-projeto de co-desenvolvimento entre Governo e Academia para a introdução de e-gov 3.0. In Anais Estendidos do XI Congresso Brasileiro de Software: Teoria e Prática (CBSoft 2020). 2020, pp. 144-147. doi: 10.5753/cbsoft_estendido.2020.14623.
  [3.1] FERREIRA, D.J. - SÃO MAMEDE, H. Predicting cybersecurity risk - a methodology for assessments. In ARIS2-Advanced Research on Information Systems Security. 2022, vol. 2, no. 2, pp. 50-63. doi: 10.56394/aris2.v2i2.23.
  [3.1] LIU, Y. - LING, Z. - HUO, B. - WANG, B. - CHEN, T. - MOUINE, E. Building a platform for machine learning operations from open source frameworks. In IFAC-PapersOnLine. ISSN 2405-8963, 2020, vol. 53, no. 5, pp. 704-709.
  [3.1] MATSUI, B.M.A. - GOYA, D.H. Applying DevOps to machine learning processes: A systematic mapping. In Anais do XVIII Encontro Nacional de Inteligência Artificial e Computacional. SBC. 2021, pp. 559-570. doi: 10.5753/eniac.2021.18284.
  [3.1] PARISA, V.V.K. - TAYLOR, B.G. - CHOUDHURI, D.R. - SWIFT, L. - ALLEN, C. - MOHAPATRA, B. Automating an adoption of cloud services. October 19, 2021, United States Patent No. 11150880 B1.
  [3.1] SHRIVASTAVA, A. - CHAKKARAVARTHY, M. - SHAH, M.A. Health monitoring based cognitive IoT using fast machine learning technique. In International Journal of Intelligent Systems and Applications in Engineering. ISSN 2147-6799, 2023, vol. 11, no. 6, pp. 720-729.
  [3.1] SULTAN, N. Study on the design of algorithm based on machine learning to improve cloud computing. In Technium. 2023, vol. 10, pp. 38-50. doi: 10.47577/technium.v10i.8819.
• NGUYEN, Giang** - DLUGOLINSKÝ, Štefan - TRAN, Viet - LÓPEZ GARCÍA, Álvaro. Deep learning for proactive network monitoring and security protection. In IEEE Access, 2020, vol. 8, no. 1, art. no. 8966259, p. 19696-19716. (2019: 3.745 - IF, Q1 - JCR, 0.775 - SJR, Q1 - SJR, karentované - CCC). (2020 - Current Contents). ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2020.2968718 Typ: ADCA
  Citácie:

  [1.1] ALSOUFI, Muaadh A. - RAZAK, Shukor - SIRAJ, Maheyzah Md - NAFEA, Ibtehal - GHALEB, Fuad A. - SAEED, Faisal - NASSER, Maged. Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 18, pp. Dostupné na: https://doi.org/10.3390/app11188383, Registrované v: WOS
  [1.1] BA'ABBAD, I. - BATARFI, O. Proactive Ransomware Detection Using Extremely Fast Decision Tree (EFDT) Algorithm: A Case Study. In COMPUTERS. ISSN 2073-431X, JUN 2023, vol. 12, no. 6. Dostupné na: https://doi.org/10.3390/computers12060121, Registrované v: WOS
  [1.1] BIN ARFAJ, Bandar Abdulrhman - MISHRA, Shailendra - ALSHEHRI, Mohammed. Efficacy of Unconventional Penetration Testing Practices. In INTELLIGENT AUTOMATION AND SOFT COMPUTING. ISSN 1079-8587, 2022, vol. 31, no. 1, pp. 223-239., Registrované v: WOS
  [1.1] CRIVELLARI, Alessandro - BEINAT, Euro. Forecasting Spatially-Distributed Urban Traffic Volumes via Multi-Target LSTM-Based Neural Network Regressor. In MATHEMATICS, 2020, vol. 8, no. 12, pp., Registrované v: WOS
  [1.1] DIAZ-HONRUBIA, Antonio Jesus - HERRANZ, Alberto Blazquez - SANTAMARIA, Lucia Prieto - RUIZ, Ernestina Menasalvas - RODRIGUEZ-GONZALEZ, Alejandro - GONZALEZ-GRANADILLO, Gustavo - DIAZ, Rodrigo - PANAOUSIS, Emmanouil - XENAKIS, Christos. A Trusted Platform Module-based, Pre-emptive and Dynamic Asset Discovery Tool. In JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2022, vol. 71, no., pp. ISSN 2214-2126. Dostupné na: https://doi.org/10.1016/j.jisa.2022.103350, Registrované v: WOS
  [1.1] DOROUD, Hossein - ALASWAD, Ahmad - DRESSLER, Falko. Encrypted Traffic Detection: Beyond the Port Number Era. In PROCEEDINGS OF THE 2022 47TH IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2022), 2022, vol., no., pp. 198-204. ISSN 0742-1303. Dostupné na: https://doi.org/10.1109/LCN53696.2022.9843432, Registrované v: WOS
  [1.1] IKRAM, Sumaiya Thaseen - CHERUKURI, Aswani Kumar - POORVA, Babu - USHASREE, Pamidi Sai - ZHANG, Yishuo - LIU, Xiao - LI, Gang. Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models. In CYBERNETICS AND INFORMATION TECHNOLOGIES. ISSN 1311-9702, 2021, vol. 21, no. 3, pp. 175-188. Dostupné na: https://doi.org/10.2478/cait-2020-0037, Registrované v: WOS
  [1.1] INJADAT, MohammadNoor - MOUBAYED, Abdallah - NASSIF, Ali Bou - SHAMI, Abdallah. Machine learning towards intelligent systems: applications, challenges, and opportunities. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, 2021, vol., no., pp., Registrované v: WOS
  [1.1] KAMBLE, A. - MALEMATH, V.S. Adam improved rider optimization-based deep recurrent neural network for the intrusion detection in cyber physical systems. In International Journal of Swarm Intelligence Research (IJSIR). 2022, vol. 13, no. 3, pp. 1-22. Dostupné na: https://do.org/10.4018/IJSIR.304402., Registrované v: WOS
  [1.1] KJORVEZIROSKI, Vojdan - VULETIC, Pavle V. - LOPATOWSKI, Lukasz - LOUI, Frederic. On-Demand Network Management with NMaaS: Network Management as a Service. In PROCEEDINGS OF THE IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM 2022, 2022, vol., no., pp. ISSN 1542-1201. Dostupné na: https://doi.org/10.1109/NOMS54207.2022.9789815, Registrované v: WOS
  [1.1] LEON, D. A. - MARTINEZ, J. G. - ARDILA, I. A. - MOSQUERA, D. J. Artificial intelligence for traffic control in data networks: A Review. In ENTRE CIENCIA E INGENIERIA, 2022, vol. 16, no. 31, pp. 17-24. ISSN 1909-8367. Dostupné na: https://doi.org/10.31908/19098367.2655, Registrované v: WOS
  [1.1] LIN, Yu-Yi - ZHENG, Wei-Zhong - CHU, Wei Chung - HAN, Ji-Yan - HUNG, Ying-Hsiu - HO, Guan-Min - CHANG, Chia-Yuan - LAI, Ying-Hui. A Speech Command Control-Based Recognition System for Dysarthric Patients Based on Deep Learning Technology. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 6, pp., Registrované v: WOS
  [1.1] NARAYANANKUTTY, Hrishikesh. Self-Adapting Model-Based SDSec For IoT Networks Using Machine Learning. In 2021 IEEE 18TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE COMPANION (ICSA-C), 2021, vol., no., pp. 92-93., Registrované v: WOS
  [1.1] PANDEY, B.K. - VEERAMANICKAM, M.R.M. - AHMAD, S. - RODRIGUEZ, C. - ESENARRO, D. ExpSSOA-Deep maxout: Exponential Shuffled shepherd optimization based Deep maxout network for intrusion detection using big data in cloud computing framework. In COMPUTERS & SECURITY. ISSN 0167-4048, JAN 2023, vol. 124. Dostupné na: https://doi.org/10.1016/j.cose.2022.102975, Registrované v: WOS
  [1.1] PERDICES, Daniel - GARCIA-DORADO, Jose Luis - RAMOS, Javier - DE POOL, Rodrigo - ARACIL, Javier. Towards the Automatic and Schedule-Aware Alerting of Internetwork Time Series. In IEEE ACCESS. ISSN 2169-3536, 2021, vol. 9, no., pp. 61346-61358., Registrované v: WOS
  [1.1] PYO, Changwoo - SAWADA, Hirokazu - MATSUMURA, Takeshi. A Deep Learning-Based Indoor Radio Estimation Method Driven by 2.4 GHz Ray-Tracing Data. In IEEE ACCESS, 2023, vol. 11, no., pp. 138215-138228. ISSN 2169-3536., Registrované v: WOS
  [1.1] QI, Guohong - ZHOU, Jie - JIA, Wenxian - LIU, Menghan - ZHANG, Shengnan - XU, Mengying. Intrusion Detection for Network Based on Elite Clone Artificial Bee Colony and Back Propagation Neural Network. In WIRELESS COMMUNICATIONS & MOBILE COMPUTING. ISSN 1530-8669, 2021, vol. 2021, no., pp. Dostupné na: https://doi.org/10.1155/2021/9956371, Registrované v: WOS
  [1.1] RAMOS, J. - GARCíA-DORADO, J.L. - ARACIL, J. Workforce capacity planning for proactive troubleshooting in the Network Center. In COMPUTER NETWORKS. ISSN 1389-1286, FEB 2023, vol. 221. Dostupné na: https://doi.org/10.1016/j.comnet.2022.109523, Registrované v: WOS
  [1.1] SARKER, K.U. - YUNUS, F. - DERAMAN, A. Penetration Taxonomy: A Systematic Review on the Penetration Process, Framework, Standards, Tools, and Scoring Methods. In SUSTAINABILITY. JUL 2023, vol. 15, no. 13. Dostupné na: https://doi.org/10.3390/su151310471, Registrované v: WOS
  [1.1] SOLARTE PABON, Oswaldo - TORRENTE, Maria - PROVENCIO, Mariano - RODRIGUEZ-GONZALEZ, Alejandro - MENASALVAS, Ernestina. Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 2, pp., Registrované v: WOS
  [1.1] SOLARTE-PABóN, O. - MONTENEGRO, O. - GARCíA-BARRAGáN, A. - TORRENTE, M. - PROVENCIO, M. - MENASALVAS, E. - ROBLES, V. Transformers for extracting breast cancer information from Spanish clinical narratives. In ARTIFICIAL INTELLIGENCE IN MEDICINE. ISSN 0933-3657, SEP 2023, vol. 143. Dostupné na: https://doi.org/10.1016/j.artmed.2023.102625, Registrované v: WOS
  [1.1] SZOSTAK, Daniel - WLODARCZYK, Adam - WALKOWIAK, Krzysztof. Machine Learning Classification and Regression Approaches for Optical Network Traffic Prediction. In ELECTRONICS, 2021, vol. 10, no. 13, pp., Registrované v: WOS
  [1.1] TAYYAB, Muhammad - MARJANI, Mohsen - JHANJHI, N. Z. - HASHIM, Ibrahim Abaker Targio - ALMAZROI, Abdulwahab Ali - ALMAZROI, Abdulaleem Ali. Cryptographic Based Secure Model on Dataset for Deep Learning Algorithms. In CMC-COMPUTERS MATERIALS & CONTINUA. ISSN 1546-2218, 2021, vol. 69, no. 1, pp. 1183-1200., Registrované v: WOS
  [1.1] THASEEN, I. Sumaiya - CHITTURI, Arun Krishna - AL-TURJMAN, Fadi - SHANKAR, Achyut - GHALIB, Muhammad Rukunuddin - ABHISHEK, Kumar. An intelligent ensemble of long-short-term memory with genetic algorithm for network anomaly identification. In TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES. ISSN 2161-3915, 2020, vol., no., pp., Registrované v: WOS
  [1.1] WEI, Yunkai - ZHOU, Sipei - LENG, Supeng - MAHARJAN, Sabita - ZHANG, Yan. Federated Learning Empowered End-Edge-Cloud Cooperation for 5G HetNet Security. In IEEE NETWORK. ISSN 0890-8044, 2021, vol. 35, no. 2, pp. 88-94., Registrované v: WOS
  [1.1] WU, Shiwen - ZHANG, Yuanxing - ZHANG, Wentao - BIAN, Kaigui - CUI, Bin. Enhanced review-based rating prediction by exploiting aside information and user influence. In KNOWLEDGE-BASED SYSTEMS. ISSN 0950-7051, 2021, vol. 222, no., pp., Registrované v: WOS
  [1.1] YUSOF, Mohammad Hafiz Mohd - ZIN, Abdullah Mohd - SATAR, Nurhizam Safie Mohd. Behavioral Intrusion Prediction Model on Bayesian Network over Healthcare Infrastructure. In CMC-COMPUTERS MATERIALS & CONTINUA, 2022, vol. 72, no. 2, pp. 2445-2466. ISSN 1546-2218. Dostupné na: https://doi.org/10.32604/cmc.2022.023571, Registrované v: WOS
  [1.1] ZHIQIANG, Liu - MOHI-UD-DIN, Ghulam - JIANGBIN, Zheng - SIFEI, Wang - ASIM, Muhammad. A novel deep learning based security assessment framework for enhanced security in swarm network environment. In INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION, 2022, vol. 38, no., pp. ISSN 1874-5482. Dostupné na: https://doi.org/10.1016/j.ijcip.2022.100540, Registrované v: WOS
  [1.2] ALAM, Naushad - AHMED, Muqeem. Zero-day Network Intrusion Detection using Machine Learning Approach. In International Journal on Recent and Innovation Trends in Computing and Communication, 2023-01-01, 11, pp. 194-201. Dostupné na: https://doi.org/10.17762/ijritcc.v11i8s.7190, Registrované v: SCOPUS
  [1.2] ARCHANA, C. - CHAITRA, H. P. - KHUSHI, M. - PRADHIKSHA NANDINI, T. - SIVARAMAN, E. - HONNAVALLI, Prasad. Cloud-based network Intrusion detection system using deep learning. In ACM International Conference Proceeding Series, 2021-08-25, pp. Dostupné na: https://doi.org/10.1145/3485557.3485562, Registrované v: SCOPUS
  [1.2] DAS, Abhijit - PRAMOD. A Novel Deep Learning Model to Enhance Network Traffic Monitoring for Cybersecurity. In International Journal of Intelligent Systems and Applications in Engineering, 2022-10-15, 10, 1s, pp. 335-342., Registrované v: SCOPUS
  [1.2] LYSENKO, Sergii - BOBROVNIKOVA, Kira - GAJ, Piotr - SOCHOR, Tomas - FORKUN, Iryna. Resilient computer systems development for cyberattacks resistance. In CEUR Workshop Proceedings. ISSN 16130073, 2021-01-01, 2853, pp. 353-361., Registrované v: SCOPUS
  [1.2] MAO, Xiru - CHENG, Zheng - ZHOU, Yu. Network Security Protection Based on Deep Learning in Power Grid Information Construction. In Proceedings 2022 Asian Conference on Frontiers of Power and Energy, ACFPE 2022, 2022-01-01, pp. 193-197. Dostupné na: https://doi.org/10.1109/ACFPE56003.2022.9952300, Registrované v: SCOPUS
  [1.2] PADDALWAR, Snehal - RAGHA, Leena - MANE, Vanita. Cyber Threat Mitigation Using Machine Learning, Deep Learning, Artificial Intelligence, and Blockchain. In Intelligent Approaches to Cyber Security, 2023-01-01, pp. 163-179. Dostupné na: https://doi.org/10.1201/9781003408307-14, Registrované v: SCOPUS
  [1.2] PRASAD, Arpana - ASHA, V. - MADHWARAJ, K. G. - MATHEW, Jincy - SHET, Namrata - KUMAR B, Naveen. AI Based Infringement Discernment System for Network Security. In Proceedings 2023 International Conference on Computational Intelligence for Information, Security and Communication Applications, CIISCA 2023, 2023-01-01, pp. 147-153. Dostupné na: https://doi.org/10.1109/CIISCA59740.2023.00038, Registrované v: SCOPUS
  [1.2] SHIKHALIYEV, Ramiz - SUKHOSTAT, Lyudmila. Proactive computer network monitoring based on homogeneous deep neural ensemble. In Results in Control and Optimization, 2023-06-01, 11, pp. Dostupné na: https://doi.org/10.1016/j.rico.2023.100230, Registrované v: SCOPUS
  [1.2] SHIKHALIYEV, Ramiz. Proactive Computer Network Monitoring based on Homogeneous LSTM Ensemble. In 16th IEEE International Conference on Application of Information and Communication Technologies, AICT 2022 Proceedings, 2022-01-01, pp. Dostupné na: https://doi.org/10.1109/AICT55583.2022.10013593, Registrované v: SCOPUS
  [1.2] ZHONG, Wei - YU, Ning - AI, Chunyu. Applying big data based deep learning system to intrusion detection. In Big Data Mining and Analytics. ISSN 20960654, 2020-09-01, 3, 3, pp. 181-195., Registrované v: SCOPUS
  [3.1] ATASEVER, S. - SORGUCU, U. Yapay Zekâ’nin Siber Güvenlik Uygulamalarindakullaniminin Prisma Metodu İle Analizi. In Mühendislikte Yapay Zeka Uygulamalari. Chapter 4. Iksad Publications. ISBN 978-625-6380-43-1. 2022, pp. 69- 94.
  [3.1] BA'ABBAD, I. - BATARFI, O. A short criteria-based review of high-performance proactive ransomware analysis models. In Transactions on Engineering and Computing Sciences. 2023, vol. 11, no. 1, pp. 168-179. doi: 10.14738/tecs.111.13973.
  [3.1] DONDO, M. - SULTANA, M. - VANDENBERGHE, G. Malicious activity detection. An analysis of current tools and methodologies for network defence in operational networks. Defence Research and Development Canada. Reference Document DRDC-RDDC-2021-D078. 2021, 60 p. https://cradpdf.drdc-rddc.gc.ca/PDFS/unc361/p813212_A1b.pdf.
  [3.1] LEÓN, D.A. - CUENCA, J.G.M. - SÁNCHEZ, I.A.A. - PALACIOS, D.J.M. Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión. In Entre Ciencia e In Ingeniería. 2022, vol. 16, no. 31, pp. 17-24. doi: 10.31908/19098367.2655.
  [3.1] RAMOS, J. - GARCÍA-DORADO, J.L. - ARACIL, J. Workforce capacity planning for proactive troubleshooting in the network operations center. In Available at SSRN. 2022, pp. 1-22. doi: 10.1016/j.comnet.2022.109523.
  [3.1] RAMU, S. - RAMAMOORTHY, R. - RANGANATHAN, R. Hough transform based deep belief network and improved homomorphic encryption for cloud security based intrusion discovery. In Yanbu Journal of Engineering and Science. 2023, vol. 20, no. 2, pp. 71-78. doi: 10.53370/001c.92142.
  [3.1] SHIKHALIYEV, R.H. One method for intellectual proactive monitoring of computer networks. In Problems of Information Technology. ISSN 2077-4001, 2021, no. 2, pp. 41-52.
• NGUYEN, Giang** - ŠIPKOVÁ, Viera - DLUGOLINSKÝ, Štefan - NGUYEN, Binh Minh - TRAN, Viet - HLUCHÝ, Ladislav. A comparative study of operational engineering for environmental and compute-intensive applications. In Array, 2021, vol. 12, art. no. 100096. ISSN 2590-0056. Dostupné na: https://doi.org/10.1016/j.array.2021.100096 Typ: ADEB
  Citácie:

  [1.1] AL-JUMAILI, Ahmed Hadi Ali - MUNIYANDI, Ravie Chandren - HASAN, Mohammad Kamrul - PAW, Johnny Koh Siaw - SINGH, Mandeep Jit. Big Data Analytics Using Cloud Computing Based Frameworks for Power Management Systems: Status, Constraints, and Future Recommendations. In SENSORS, 2023, vol. 23, no. 6, pp., Registrované v: WOS
  [1.1] NUSSINOV, Ruth - TSAI, Chung-Jung - JANG, Hyunbum. Anticancer drug resistance: An update and perspective. In DRUG RESISTANCE UPDATES, 2021, vol. 59, no., pp. ISSN 1368-7646. Dostupné na: https://doi.org/10.1016/j.drup.2021.100796, Registrované v: WOS
  [1.2] AMIRI, Amin - LIANG, Yu - ONYANGO, Mbakisya. Pioneering Climate Forecasting in Tennessee with LSTM-ANN Machine Learning Model. In 2023 IEEE 20th International Conference on Smart Communities: Improving Quality of Life using AI, Robotics and IoT, HONET 2023, 2023-01-01, pp. 126-131. Dostupné na: https://doi.org/10.1109/HONET59747.2023.10374680, Registrované v: SCOPUS
• BALOGH, Zoltán - GATIAL, Emil - HASSANKHANI DOLATABADI, Sepideh - DLUGOLINSKÝ, Štefan - SALTARELLA, Marco - SCIPIONI, Marcello Paolo - GRUNWALD, Dominika - PRZYBYSZEWSKI, Marcin - MAJLINGOVÁ, Andrea - BRODRECHTOVÁ, Yvonne - MOJIR, Kayvan Yousefi - OLSON, Nasrine - LEVAK, Jelena - CHANDRAMOULI, Krishna. Communication protocol for using nontraditional information sources between first responders and citizens during wildfires. In Proceedings of the International ISCRAM Conference. - ISCRAM, 2023, vol. 20, pp. 152-165. ISSN 2411-3387. Dostupné na internete: https://seafile.sk/f/3fd9e70183434635a158/?dl=1 (20th Global Information Systems for Crisis Response and Management Conference) Typ: ADMB
• STAŇO, Michal - HLUCHÝ, Ladislav - KRAMMER, Peter - DLUGOLINSKÝ, Štefan - KVASSAY, Marcel - TRAN, Viet. Classification of tree species by federated learning. In SISY 2023 - IEEE 21st International Symposium on Intelligent Systems and Informatics : Proceedings. - Budapest, Hungary : IEEE, 2023, p. 333-339. ISBN 979-8-3503-4336-6. Dostupné na: https://doi.org/10.1109/SISY60376.2023.10417957 (SISY 2023 : IEEE 21st International Symposium on Intelligent Systems and Informatics) Typ: ADMB