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Publikačná činnosť

Mgr. Martin Bobák, PhD.

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KRAVEC, Martin - BOBÁK, Martin - BREJOVÁ, Broňa - VINAŘ, Tomáš. Variants of genes from the next generation sequencing data. In CEUR Workshop Proceedings, 2013, vol. 1003, p. 44-51. (2013 - SCOPUS). ISSN 1613-0073. Dostupné na internete: https://ceur-ws.org/Vol-1003/44.pdf (ITAT 2013.) Typ: ADMB
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. General regression in cloud computing. In IEEE 18th International Conference on Intelligent Engineering Systems : INES 2014. - Budapest : IEEE, 2014, p. 21-26. ISBN 978-1-4799-4616-7. Dostupné na: https://doi.org/10.1109/INES.2014.6909380 Typ: ADMB
Citácie:
[3.1] SENO, M.E. - DHANNOON, B.N. - MOHAMMAD, O.K.J. Enhancement of cloud computing environment using machine learning algorithms MLCE. In Iraqi Journal of Computers, Communications, Control & Systems Engineering (IJCCCE). ISSN 1811-9212, 2023, vol. 23, no. 4, pp. 1-12.
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Abstract model of k-Cloud computing. In FSKD 2014 : 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery. - Danvers : IEEE, 2014, p. 721-725. ISBN 978-1-4799-5147-5. Dostupné na: https://doi.org/10.1109/FSKD.2014.6980922 (International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2014.) Typ: ADMB
BOBÁK, Martin - TRAN, Viet. OpenStack: cloudová platforma typu IaaS [OpenStack: an IaaS Cloud Platform]. In WIKT 2014 : 9th Workshop on Intelligent and Knowledge Oriented Technologies. Eds. Hluchý, L., Bieliková, M., Paralič, J. - Bratislava : Nakladateľstvo STU, 2014, p. 130-135. ISBN 978-80-227-4267-2. Typ: AED
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Methodology for intercloud multicriteria optimization. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2015. - Zhangjiajie, China : IEEE, 2015, proceedengs, p. 1786-1791. ISBN 978-1-4673-7682-2. Dostupné na: https://doi.org/10.1109/FSKD.2015.7382217 (International Conference on Fuzzy Systems and Knowledge Discovery : FSKD 2015.) Typ: ADMB
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Tailored platform as cloud service. In SISY 2015 : IEEE 13th International Symposium on Intelligent Systems and Informatics. - New York : IEEE, 2015, p. 43-48. ISBN 978-1-4673-9388-1. ISSN 1949-047X. Dostupné na: https://doi.org/10.1109/SISY.2015.7325408 (SISY 2015 : IEEE 13th International Symposium on Intelligent Systems and Informatics.) Typ: ADMB
Citácie:
[1.1] CZEPA, Christoph - ZDUN, Uwe. On the Understandability of Temporal Properties Formalized in Linear Temporal Logic, Property Specification Patterns and Event Processing Language. In IEEE TRANSACTIONS ON SOFTWARE ENGINEERING. ISSN 0098-5589, 2020, vol. 46, no. 1, pp. 100-112., Registrované v: WOS
[1.2] AVILA, Oscar - PAEZ, Cristian - CORREAL, Dario. Towards a maturity model for cloud service customizing. In Communications in Computer and Information Science. ISSN 18650929, 2019-01-01, 1051 CCIS, pp. 282-294., Registrované v: SCOPUS
[1.2] MISHRA, Kamta Nath - CHAKRABORTY, Chinmay. A Novel Approach Toward Enhancing the Quality of Life in Smart Cities Using Clouds and IoT-Based Technologies. In Internet of Things. ISSN 21991073, 2020-01-01, pp. 19-35., Registrované v: SCOPUS
[1.2] PAEZ, Cristian - AVILA, Oscar - CORREAL, Dario. Towards cloud service customization: A state of the art. In ICETE 2018 Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018-01-01, 1, pp. 205-212., Registrované v: SCOPUS
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Optimalizácia výkonu aplikácií v multicloudovom prostredí [Optimization of Application Performance in Multicloud Environment]. In WIKT 2015 : 10th Workshop on Intelligent and Knowledge Oriented Technologies. Eds. Babič, F., Paralič, J. - Košice : TU Košice, 2015, p. 67-70. ISBN 978-80-553-2271-1. Typ: AFD
BOBÁK, Martin - HLUCHÝ, Ladislav - TRAN, Viet. Application performance optimization in multicloud environment. In Computing and informatics, 2016, vol. 35, no. 6, p. 1359-1385. (2015: 0.524 - IF, Q4 - JCR, 0.255 - SJR, Q3 - SJR, karentované - CCC). (2016 - Current Contents). ISSN 1335-9150. Typ: ADDA
Citácie:
[2.1] BEZERRA, Petronio - SANTOS, Marcela - ALVES, Edlane - COSTA, Anderson - ALBUQUERQUE, Fellype - MARTINS, Gustavo - GOMES, Reinaldo. AN EXPERIMENTAL STUDY ON VIRTUAL MACHINE LIVE MIGRATION IMPACT ON SERVICES PERFORMANCE. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2019, vol. 38, no. 2, pp. 291-320., Registrované v: WOS
[2.1] MRNCO, Ivan - BLSTAK, Peter - HUDEC, Peter - KOCHAN, Matej - GIBALA, Tomas - HABALA, Ondrej. APPLICATION OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGIES IN A LOCAL FLOOD WARNING SYSTEM. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2018, vol. 37, no. 6, pp. 1516-1535., Registrované v: WOS
[3.1] SUGUMAR, R. - RAJESH, A. Performance analysis and evaluation of multi-cloud systems. In i-manager's Journal on Cloud Computing (JCC). ISSN 2349-6835, 2019, vol. 6, no. 1, pp. 36-42.
BOBÁK, Martin. Optimalizácia výkonu aplikácií v multicloudovom prostredí : dizertačná práca (PhD.). Bratislava, 2017. 126 p. Typ: DAI
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
NGUYEN, Giang - BOBÁK, Martin - HLUCHÝ, Ladislav. Geospatial preprocessing for situational assessment through hydraulic simulations. In 13th international conference on natural computation, fuzzy systems and knowledge discovery : ICNC-FSKD 2017. - Guilin, China : IEEE, 2017, p. 2429-2435. ISBN 978-1-5386-2164-6. Dostupné na: https://doi.org/10.1109/FSKD.2017.8393154 (ICNC-FSKD 2017 : 13th international conference on natural computation, fuzzy systems and knowledge discovery.) Typ: ADMB
Citácie:
[2.1] MRNCO, Ivan - BLSTAK, Peter - HUDEC, Peter - KOCHAN, Matej - GIBALA, Tomas - HABALA, Ondrej. APPLICATION OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGIES IN A LOCAL FLOOD WARNING SYSTEM. In COMPUTING AND INFORMATICS. ISSN 1335-9150, 2018, vol. 37, no. 6, pp. 1516-1535., Registrované v: WOS
[3.1] ASWAD, N. - NAWAL, M. - BUNDELE, M. - SURI, P. Leakage detection through HL in gurthali water supply distribution network using EPANET. In International Journal of Innovative Technology and Exploring Engineering (IJITEE). 2020, vol. 9, no. 3, pp. 3558-3565. doi: 10.35940/ijitee.B7393.019320.
[3.1] NEERAJ, M.N. - BUNDELE, M. - SURI, P.K. Design and implement a real network in EPANET tool and detect leak through head loss. In International Journal of Modern Agriculture. ISSN 2305-7246, 2021, vol. 10, no. 2, pp. 4518-4528.
BOBÁK, Martin - BELLOUM, Adam S.Z. - NOWAKOWSKI, Piotr - MEIZNER, Jan - BUBAK, Marian - HEIKKURINEN, Matti - HABALA, Ondrej - HLUCHÝ, Ladislav. Exascale computing and data architectures for brownfield applications. In ICNC-FSKD 2018 : 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery. - Huangshan, China : IEEE, 2018, p. 461-468. ISBN 978-1-5386-8097-1. Dostupné na: https://doi.org/10.1109/FSKD.2018.8686900 (ICNC-FSKD 2018 : 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery.) Typ: ADMB
Citácie:
[1.1] WANG, Y.D. - JANSE, N. - BIANCHI, R. - KOULOUZIS, S. - ZHAO, Z.M. Towards a Service-based Adaptable Data Layer for Cloud Workflows. In 2023 IEEE 47TH ANNUAL COMPUTERS, SOFTWARE, AND APPLICATIONS CONFERENCE, COMPSAC. ISSN 0730-3157, 2023, p. 904-911. Dostupné na: https://doi.org/10.1109/COMPSAC57700.2023.00121, Registrované v: WOS
BOBÁK, Martin - HLUCHÝ, Ladislav - GRAZIANI, Mara - MÜLLER, Henning. Machine learning in medical imaging. In 1st international conference on new research and development in technical and natural science : ICNRDTNS. Editor: Matej Babič. - Podgradje : Complex System Company, s.p., 2019, p. 37-40. ISBN 978-961-290-461-6. (ICNRDTNS : 1st International conference on new research and development in technical and natural science.) Typ: AFC
HLUCHÝ, Ladislav - BOBÁK, Martin - TRAN, Viet - SOMOSKÖI, Balázs - HEIKKURINEN, Matti - HÖB, Maximilian - SCHMIDT, Jan - GRAZIANI, Mara - MÜLLER, Henning - MAASSEN, Jason - SPREEUW, Hanno - MADOUGOU, Souley - BELLOUM, Adam S.Z. - CUSHING, Reginald - MEIZNER, Jan - NOWAKOWSKI, Piotr. Updated requirements analysis, validation of 1st prototype, and updated PROCESS architecture : Deliverable D4.3. 2019. 35 p. Dostupné na internete: https://www.process-project.eu/wp-content/uploads/2020/02/PROCESS_D4.3_UpdatedRequirementsAnalysis_v1.0.pdf Typ: GHG
HLUCHÝ, Ladislav - HÖB, Maximilian - SCHMIDT, Jan - BELLOUM, Adam S.Z. - CUSHING, Reginald - SPREEUW, Hanno - MAASSEN, Jason - GRAZIANI, Mara - MÜLLER, Henning - SOMOSKÖI, Balázs - PANCAKE-STEEG, Jörg - BOBÁK, Martin - HABALA, Ondrej - ŠELENG, Martin - MEIZNER, Jan. Alpha release of the data service : Deliverable D5.2. 2019. 32 p. Dostupné na internete: https://www.process-project.eu/wp-content/uploads/2020/02/PROCESS_D5.2_Alpha_release_of_the_Data_service_v1.0.pdf Typ: GHG
HLUCHÝ, Ladislav - BOBÁK, Martin - MAASSEN, Jason - SPREEUW, Hanno. Reduction of radio astronomical observations to sky maps as an example of exascale data service. In 13th International Workshop on Parallel Numerics (ParNum 2019). - Dubrovnik, Croatia, 2019, p. 20-21. Dostupné na internete: https://www.fsb.unizg.hr/parnum2019/abs_book_web.pdf 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] ABTAHI, H. - EDALATIFARD, M. - GHOLAMZADEH, M. - KHAKVATAN, E. Predicting Zygosity based on physical similarity of twin pairs with the aid of machine learning methods. In BMC MEDICAL INFORMATICS AND DECISION MAKING. DEC 27 2025, vol. 26, no. 1, art. no. 32. Dostupné na: https://doi.org/10.1186/s12911-025-03334-8, 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] AHMADI, M. - BISWAS, D. - LIN, M.H. - VRIONIS, F.D. - HASHEMI, J. - TANG, Y.F. Physics-informed machine learning for advancing computational medical imaging: integrating data-driven approaches with fundamental physical principles. In ARTIFICIAL INTELLIGENCE REVIEW. ISSN 0269-2821, JUL 5 2025, vol. 58, no. 10, art. no. 297. Dostupné na: https://doi.org/10.1007/s10462-025-11303-w, Registrované v: WOS
[1.1] AHMED, S.F. - ALAM, M.S.B. - KABIR, M. - AFRIN, S. - RAFA, S.J. - MEHJABIN, A. - GANDOMI, A.H. Unveiling the frontiers of deep learning: Innovations shaping diverse domains. In APPLIED INTELLIGENCE. ISSN 0924-669X, MAR 25 2025, vol. 55, no. 7, art. no. 573. Dostupné na: https://doi.org/10.1007/s10489-025-06259-x, 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 Hierarchical Attention Active Learning for Mental Disorder Unlabeled Data in AIoMT. In ACM TRANSACTIONS ON SENSOR NETWORKS, 2023, vol. 19, no. 3, pp. ISSN 1550-4859. Dostupné na: https://doi.org/10.1145/3519304, 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] AJABANI, D. - SHAIKH, Z.A. - YOUSEF, A. - ALI, K. - ALBAHAR, M.A. Enhancing skin lesion classification: a CNN approach with human baseline comparison. In PEERJ COMPUTER SCIENCE. APR 15 2025, vol. 11, art. no. e2795. Dostupné na: https://doi.org/10.7717/peerj-cs.2795, Registrované v: WOS
[1.1] AKAZUE, M.I. - OKOFU, S.N. - OJUGO, A.A. - EJEH, P.O. - ODIAKAOSE, C.C. - EMORDI, F.U. - AKO, R.E. - GETELOMA, V.O. Handling Transactional Data Features via Associative Rule Mining for Mobile Online Shopping Platforms. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, MAR 2024, vol. 15, no. 3, p. 530-538., 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] AL-HAMZI, Y.M. - BIN SAHIBUDDIN, S. A Comprehensive Crucial Review of Re-Purposing DNN-Based Systems: Significance, Challenges, and Future Directions. In INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS. ISSN 2158-107X, OCT 2024, vol. 15, no. 10, p. 562-582., 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] ALI, A.A. - GHARGHAN, S.K. - ALI, A.H. High-Accuracy Diabetic Foot Prediction Using Thermal Imaging and KNN-Based Machine Learning. In SENSING AND IMAGING. ISSN 1557-2064, NOV 26 2025, vol. 26, no. 1, art. no. 153. Dostupné na: https://doi.org/10.1007/s11220-025-00689-0, 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] ALJABRI, M. - ALTAMIMI, H.S. - ALBELALI, S.A. - AL-HARBI, M. - ALHURAIB, H.T. - ALOTAIBI, N.K. - ALAHMADI, A.A. - ALHAIDARI, F. - MOHAMMAD, R.M.A. Kashif: A Chrome Extension for Classifying Arabic Content on Web Pages Using Machine Learning. In APPLIED SCIENCES-BASEL. OCT 2024, vol. 14, no. 20. Dostupné na: https://doi.org/10.3390/app14209222, 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
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VIDIEČAN, Matúš - BOBÁK, Martin. Container-based video streaming service. In IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics, CINTI-MACRo 2022 - Proceedings. - Budapest, Hungary : IEEE, 2022, p. 191-196. ISBN 979-8-3503-9882-3. Dostupné na: https://doi.org/10.1109/CINTI-MACRo57952.2022.10029489 (CINTI-MACRo 2022 : IEEE Joint 22nd International Symposium on Computational Intelligence and Informatics and 8th International Conference on Recent Achievements in Mechatronics, Automation, Computer Science and Robotics.) Typ: ADMB
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1.1	Citácie v zahraničných publikáciách registrované v citačných indexoch Web of Science Core Collection
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4.2	Citácie v domácich publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus
5	Recenzie v zahraničných publikáciách
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10	Reprodukcie umeleckých diel autora domácej publikácii alebo médiu
*10	Citácie v domácich publikáciách registrované v iných vedeckých citačných databázach, ako je Web of Science Core Collection a Scopus