Informačná stránka zamestnankyne SAV

Publikačná činnosť

Ing. Lenka Skovajsová, PhD.

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

• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Možnosti využitia neurónových sietí na získanie informácií v prirodzenom jazyku. In Zborník z konferencie "Informatika a informačné technológie 2004". - Banská Bystrica : FPV UMB, 2004, p. 79-84. ISBN 80-8033-017-7. Typ: AED
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Neural network model of system for information retrieval from text documents in Slovak language. In Acta electronica et informatica. - Košice : FEI TU, 2005, vol. 5, no. 3, s. 36-41. ISSN 1335-8243. Typ: ADF
  Citácie:

  [1.1] BATMAZ, Inci - KARAGOZ, Pinar - SERDAR, Gulsah. A Comparative Study on Learning to Rank with Computational Methods. In 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, vol., no., pp. 1898-1906., Registrované v: WOS
  [1.1] IATAN, Iuliana F. Mathematical Aspects of Using Neural Approaches for Information Retrieval. In ISSUES IN THE USE OF NEURAL NETWORKS IN INFORMATION RETRIEVAL. ISSN 1860-949X, 2017, vol. 661, no., pp. 1-35., Registrované v: WOS
  [1.1] WU, Yuezhong - LIU, Qiang - CHEN, Rongrong - LI, Changyun - PENG, Ziran. A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing. In SECURITY AND COMMUNICATION NETWORKS. ISSN 1939-0114, 2020, vol. 2020, no., pp. Dostupné na: https://doi.org/10.1155/2020/8843803, Registrované v: WOS
  [1.2] GAYATHRI, P. - JAISANKAR, N. A hybrid neuro-fuzzy system-based ranking function and its application to effective medical information retrieval. In International Journal of Intelligent Information and Database Systems. ISSN 17515858, 2016-01-01, 9, 3-4, pp. 248-268., Registrované v: SCOPUS
  [1.2] OTAIR, Mohammed - ZACOUT, Somaya - ABUALIGAH, Laith - OMARI, Mahmoud. Hybrid Arabic classification techniques based on naïve Bayes algorithm for multidisciplinary applications. In Artificial Neural Networks for Renewable Energy Systems and Real-World Applications, 2022-01-01, pp. 239-265. Dostupné na: https://doi.org/10.1016/B978-0-12-820793-2.00004-5, Registrované v: SCOPUS
  [3.1] MALIK, M.S. - WALTEMATH, D. Applicability of deep neural networks on the task of document retrieval. In Proceedings of Computer Science & Information Technology (CS & IT), Computer Science Conference (CSCP 2020). 2020, pp. 285-304. doi: 10.5121/csit.2020.101123.
  [3] BABU, A. - SINDHU, L. A Survey of information retrieval models for malayalam language processing. In International Journal of Computer Applications. 2014, vol. 107, no. 14, pp. 19-23.
  [3] SIGAPPI, A.N. - PALANIVEL, S. Query word image based retrieval scheme for handwritten tamil documents. In American Journal of Scientific Research. ISSN 1450-223X, 2012, vo. 58, pp. 33-43.
  [4] KRAJČI, S. - LACLAVÍK, M. - NOVOTNÝ, R. - TURLÍKOVÁ, L. The tool Morphonary: Using of word lemmatization in processing of documents in Slovak. In Návrat, P., Chudá, D. (Eds.): ZNALOSTI 2009: zborník príspevkov 8. ročníka konferencie. 2009, ISBN 978-80-227-3015-0, pp. 119-130.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Development of neural network information retrieval system from text document. In 3rd Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence : SAMI 2005, s. 123-131. ISBN 963-7154-35-3. Typ: AED
  Citácie:

  [1.1] POSONIA, Mary A. - VIGNESHWARI, S. - JYOTHI, V. L. AN APPROACH FOR EFFICIENT RANKING OF XML DOCUMENTS USING USING BPN BASED RANN. In IIOAB JOURNAL. ISSN 0976-3104, 2018, vol. 9, no. 2, pp. 1-7., Registrované v: WOS
  [1.1] WU, Yuezhong - LIU, Qiang - CHEN, Rongrong - LI, Changyun - PENG, Ziran. A Group Recommendation System of Network Document Resource Based on Knowledge Graph and LSTM in Edge Computing. In SECURITY AND COMMUNICATION NETWORKS. ISSN 1939-0114, 2020, vol. 2020, no., pp., Registrované v: WOS
  [3] AL-HADID, I. - AFANEH, S. - AL-TARAWNEH, H. - AL-MALAHMEH, H. Arabic information retrieval system using the neural network model. In International Journal of Advanced Research in Computer and Communication Engineering. ISSN 2319-5940. 2014, vol. 3, no. 12, pp. 8644-8668.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Realizácia vektorového priestorového modelu kolekcie dokumentov pomocou neurónovej siete. In 3. vedecká konferencia s medzinárodnou účasťou Komunikačné a informačné technológie : KIT 2005. - Liptovský Mikuláš : Akadémia ozbrojených síl gen. M.R.Štefánika, s. 99-102. ISBN 80-8040-269-8. Typ: AED
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Prehľad metód na vyhľadávanie informácií z textových dokumentov v prirodzenom jazyku pomocou neurónových sietí. In Informatika v škole a praxi. - Ružomberok : Edičné stredisko Pedagogickej fakulty, s. 31-36. ISBN 80-8084-038-5. Typ: AEF
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Nové trendy v spracovaní elektronických dokumentov pomocou systémov na získavanie informácií v prirodzenom jazyku. In Miškovič. Miroslav. Zborník príspevkov "Nové smery v spracovaní signálov VIII." : medzinárodná vedecká konferencia. - Liptovský Mikuláš : Pobočka Slovenskej elektrotechnickej spoločnosti v Liptovskom Mikuláši, 2006, s. 228-234. ISBN 80-8040-294-9. Typ: AED
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Neurónové siete na získavanie informácií z textových dokumentov v prirodzenom jazyku. In Kybernetika a informatika. Kybernetika a informatika : zborník abstraktov. - Bratislava : Vydavateľstvo STU, 2006, s. 124-125. ISBN 80-227-2431-9. Typ: AED
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Information retrieval by means of vector space model of document representation and cascade neural networks. In Workshop on Intelligent and Knowledge Oriented Technologies. 1st Workshop on intelligent and knowledge oriented technologies : WIKT 2006 proceedings. - Bratislava : Institute of Informatics SAS, 2007, s. 102-105. ISBN 978-80-969202-5-9. Typ: AED
  Citácie:

  [3] GAFFAROĞLU, S. Yazılım sektöründe müşteri memnuniyeti temelli süreç yönetimi. Master's Thesis, Yildiz Teknik Üniversitesi. 2011, 130 p.
  [3] PATIDAR, G. - SINGH, A. - SINGH, D. An approach for document clustering using agglomerative clustering and hebbian-type neural network. In International Journal of Computer Applications. 2013, vol. 75, no. 9, pp. 17-22.
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Text document space dimension reduction by latent semantic model. In Workshop on Intelligent and Knowledge Oriented Technologies. 1st Workshop on intelligent and knowledge oriented technologies : WIKT 2006 proceedings. - Bratislava : Institute of Informatics SAS, 2007, pp. 106-109. ISBN 978-80-969202-5-9. Typ: AED
  Citácie:

  [3] PATIDAR, G. - SINGH, A. - SINGH, D. An Approach for Document Clustering using Agglomerative Clustering and Hebbian-type Neural Network. In International Journal of Computer Applications. 2013, vol. 75, no. 9, pp. 17-22.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Feed-forward and self-organizing neural networks for text document retrieval. In Acta electrotechnica et informatica, 2008, vol. 8, no. 2, p. 3-10. ISSN 1335-8243. Typ: ADFB
  Citácie:

  [3] CVETKOVIĆ, S. - STOJANOVIĆ, M. - STANKOVIĆ, M. An approach for extraction and visualization of scientific metadata. In ICT Innovations 2010 Web Proceedings. ISSN 1857-7288. 2010, pp. 161-170.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Comparison of two document clustering techniques which use neural networks. In IEEE 6th International Conference on Computational Cybernetics. Editor Anikó Szakál. - Budapest : IEEE Communication Society, 2008, 2008, p. 75-78. ISBN 978-1-4244-2875-5. Typ: AEC
  Citácie:

  [1.1] MELVIN, Ryan L. - XIAO, Jiajie - GODWIN, Ryan C. - BERENHAUT, Kenneth S. - SALSBURY, Freddie R. Visualizing correlated motion with HDBSCAN clustering. In PROTEIN SCIENCE. ISSN 0961-8368, 2018, vol. 27, no. 1, pp. 62-75., Registrované v: WOS
  [1.2] KHALAF, Mahdi - NAJM, Hayder - DALEH, Alaa Abdulhussein - HASAN MUNEF, Ali - MOJIB, Ghaith. Schema Matching Using Word-level Clustering for Integrating Universities' Courses. In Proceedings 2nd Al-Noor International Conference for Science and Technology, NICST 2020, 2020-08-28, pp. 1-6., Registrované v: SCOPUS
  [1.2] VARSHNEY, Ashwani - KAPOOR, Yatin - CHAWLA, Vaishali - GAUR, Vibha. A Novel Framework for Assessing the Criticality of Retrieved Information. In International Journal of Computing and Digital Systems, 2022-01-01, 11, 1, pp. 1229-1244. Dostupné na: https://doi.org/10.12785/ijcds/1101100, Registrované v: SCOPUS
  [2.1] RAJA GOPAL, A. - SAI, Bandaru Siva - PEDIREDLA, Jaya Prakash - CHARAN, Banka - KUMAR, Modugapalli Praneeth. Moddensity based document clustering using tf-idf approach. In Journal of Advanced Research in Dynamical and Control Systems, 2020-01-01, 12, 2, pp. 835-844. Dostupné na: https://doi.org/10.5373/JARDCS/V12I2/S20201103, Registrované v: SCOPUS
  [3] HÜRRİYETOĞLU, A. Tense, aspect and mood based event extraction for situation analysis and crisis management. PhD Thesis, Middle East Technical University. 2012, 95 p.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Proposal of cascade neural network model for text document space dimension reduction by latent semantic indexing. In SAMI 2008 : 6th International Symposium on Applied Machine Intelligence and Informatics. Editor I. Rudas, P. Sinčák. - IEEE Communications Society, 2008, p. 79-84. ISBN 978-1-4244-2106-0. Dostupné na: https://doi.org/10.1109/SAMI.2008.4469139 Typ: AEC
  Citácie:

  [1.1] ZHU, Wenqiu - WANG, Xiaoyi - WU, Yuezhong - ZOU, Guang. A Face Occlusion Removal and Privacy Protection Method for IoT Devices Based on Generative Adversarial Networks. In WIRELESS COMMUNICATIONS & MOBILE COMPUTING. ISSN 1530-8669, 2021, vol. 2021, no., pp. Dostupné na: https://doi.org/10.1155/2021/6948293, Registrované v: WOS
  [1.2] LI, Zhi - LIU, Layne - WANG, Waiming. Simulated annealing algorithm-based IMMK system for mould redesign. In Advances in Transdisciplinary Engineering, 2017-01-01, 5, pp. 889-897., Registrované v: SCOPUS
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Document space dimension reduction by latent semantic analysis and Hebbian neural network. In SISY 2008 : 6th International Symposium on Intelligent Systems and Informatics: proceedings. Editor Anikó Szakál. - IEEE Communications Society, 2008, iEEE Catalog Number CFP 0884C-CDR, 4 p. ISBN 978-1-4244-2407-8. Dostupné na: https://doi.org/10.1109/SISY.2008.4664910 Typ: AEC
  Citácie:

  [1.1] LI, Zhi - LIU, Xinlai - WANG, W. M. - BARENJI, Ali Vatankhah - HUANG, George Q. CKshare: secured cloud-based knowledge-sharing blockchain for injection mold redesign. In ENTERPRISE INFORMATION SYSTEMS. ISSN 1751-7575, 2019, vol. 13, no. 1, pp. 1-33. Dostupné na: https://doi.org/10.1080/17517575.2018.1539774, Registrované v: WOS
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Proposal of latent semantic model for document set representation by neural network. In Proceedings 2nd Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2007 proceedings. Editor František Babič, Ján Paralič. - Košice : Centre for Information Technologies, Faculty of Electrical Engineering an Informatics, Technical University in Košice, 2008, p. 102-105. ISBN 978-80-89284-10-8. Typ: AED
  Citácie:

  [3] PATIDAR, G. - SINGH, A. - SINGH, D. An approach for document clustering using agglomerative clustering and Hebbian-type neural network. In International Journal of Computer Applications. 2013, vol. 75, no. 9, pp. 17-22.
• MOKRIŠ, Igor - SKOVAJSOVÁ, Lenka. Zhlukovanie textových dokumentov a zovšeobecnený Hebbov algoritmus učenia dopredných neurónových sietí. In Zborník z konferencie "Nové smery v spracovaní signálov". - 2008, p. 196-199. ISBN 978-80-8040-344-7. Typ: AFDB
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Nonnegative factor analysis for text document clustering. In Simulation, modelling and Optimization : proceedings of the 9th WSEAS International Conference on Simulation, Modelling and Optimization.proceedings of the 9th WSEAS International Symposium on Grid Computing. Editor Imre J. Rudas, Metin Demiralp, N. Mastorakis, Vlasta Zanchi, George Kaimakamis, Konstantinos Siassiakos. - WSEAS Press, 2009, p. 345-349. ISBN 978-960-474-113-7. ISSN 1790-2769. Typ: AEC
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Bigradient learning algorithm for dimension reduction of text document space. In ICCC 2009 : proceedings: 7th IEEE International Conference on Computational Cybernetics. Editor Anikó Szakál. - Budapest : IEEE, 2009, p. 125-128. ISBN 978-1-4244-5311-5. Dostupné na: https://doi.org/10.1109/ICCCYB.2009.5393948 Typ: AEC
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Text document retrieval by neural networks. In Informatics 2009 : proceedings of the 10th International Conference on Informatics. Editor Ján Kollár, Valerie Novitzká. - Košice : Department of Computers and Informatics FEEI TU of Košice, 2009, p. 312-318. ISBN 978-80-8086-126-1. Typ: AFDA
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Document space dimension reduction by nonlinear Hebbian neural network. In 7th International Symposium on Applied Machine Intelligence and Informatics : SAMI 2009. Editor Anikó Szakál. - IEEE, 2009, p. 89-91. ISBN 978-1-4244-3802-0. Dostupné na: https://doi.org/10.1109/SAMI.2009.4956615 Typ: AFDA
• SKOVAJSOVÁ, Lenka. Text document retrieval by feed-forward neural networks. In Information sciences and technologies : bulletin of the ACM Slovakia, 2010, vol. 2, no. 2, p. 70-78. ISSN 1338-1237. Dostupné na internete: http://acmbulletin.fiit.stuba.sk/vol2num2/skovajsova.pdf Typ: ADFB
  Citácie:

  [1.1] IATAN, Iuliana F. Mathematical Aspects of Using Neural Approaches for Information Retrieval. In ISSUES IN THE USE OF NEURAL NETWORKS IN INFORMATION RETRIEVAL. ISSN 1860-949X, 2017, vol. 661, no., pp. 1-35., Registrované v: WOS
  [1.2] MAJEDUL ISLAM, Md - KHUSHBU, Sharun Akter - ISLAM, Md Sanzidul. Predicting the Appropriate Category of Bangla and English Books for Online Book Store Using Deep Learning. In Advances in Intelligent Systems and Computing. ISSN 21945357, 2021-01-01, 1248, pp. 409-421. Dostupné na: https://doi.org/10.1007/978-981-15-7394-1_39, Registrované v: SCOPUS
  [1.2] REVANASIDDAPPA, M. B. - HARISH, B. S. - KUMAR, S. V.Aruna. Meta-cognitive Neural Network based Sequential Learning Framework for Text Categorization. In Procedia Computer Science, 2018-01-01, 132, pp. 1503-1511., Registrované v: SCOPUS
  [3.1] MALIK, M.S. - KLAKOW, D. - WALTEMATH, D. DeepSearch: A deep learning based document retrieval system. In Research Square. 2023, pp. 1-10. doi: 10.21203/rs.3.rs-3230295/v1
  [3.1] MALIK, M.S. - WALTEMATH, D. Applicability of deep neural networks on the task of document retrieval. In Proceedings of Computer Science & Information Technology (CS & IT), Computer Science Conference (CSCP 2020). 2020, pp. 285-304. doi: 10.5121/csit.2020.101123.
  [3] SIGAPPI, A.N. - PALANIVEL, S. Query word image based retrieval scheme for handwritten tamil documents. In American Journal of Scientific Research. ISSN 1450-223X, 2012, vo. 58, pp. 33-43.
  [3] SIGAPPI, A.N. - PALANIVEL, S. Query word image based retrieval scheme for handwritten tamil documents. In International Journal of Applied Information Systems (IJAIS). 2012, vol. 1, no. 1, pp. 1-5.
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Text document retrieval by document space dimension reduction with feed-forward neural networks. In 5th Workshop on Intelligent and Knowledge Oriented Technologies : WIKT 2010 proceedings. Eds M. Laclavík, L. Hluchý. - Bratislava : Ústav informatiky SAV, 2010, p. 116-120. ISBN 978-80-970145-2-0. Typ: AED
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Neural networks in the information retrieval area. In Communication and Information Technologies : 6th International Scientific Conference - KIT 2011. - Liptovský Mikuláš : Armed Forces Academy of Gen. M.R.Štefánik, 2011, 6 p. ISBN 978-80-8040-426-0. Typ: AED
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Dimension reduction in text document retrieval by Hebbian neural network and nonlinear activation functions. In LINDI 2012 : 4th IEEE International Symposium on Logistics and Industrial Informatics. - Piscataway : IEEE, 2012, p. 59-64. ISBN 978-1-4673-4517-0. Dostupné na: https://doi.org/10.1109/LINDI.2012.6319462 Typ: ADMB
  Citácie:

  [1.1] MURTAZA, Marryam - SHARIF, Muhammad - YASMIN, Mussarat - FAYYAZ, Muhammad - KADRY, Seifedine - LEE, Mi Young. Clothes Retrieval Using M-AlexNet With Mish Function and Feature Selection Using Joint Shannon's Entropy Pearson's Correlation Coefficient. In IEEE ACCESS, 2022, vol. 10, no., pp. 115469-115490. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2022.3218322, Registrované v: WOS
• SKOVAJSOVÁ, Lenka - ROJČEK, Michal. Soft clustering algorithms based on neural networks. In 2011 IEEE 12th International Symposium on Computational Intelligence and Informatics : CINTI 2011. - Budapest : IEEE Advancing Technology for Humanity, 2011, p. 439-442. ISBN 978-1-4577-0045-3. Dostupné na: https://doi.org/10.1109/CINTI.2011.6108545 Typ: AEC
  Citácie:

  [1.1] CHERAGHCHI, Hamideh Sadat - ZAKEROLHOSSEINI, Ali. Toward a novel art inspired incremental community mining algorithm in dynamic social network. In APPLIED INTELLIGENCE. ISSN 0924-669X, 2017, vol. 46, no. 2, pp. 409-426., Registrované v: WOS
  [1.2] KASHIRINA, I. L. - FEDUTINOV, K. A. - AZARNOVA, T. V. - BONDARENKO, Iu V. System analysis of monitoring ecological information using Fuzzy ART neural network. In Journal of Physics: Conference Series. ISSN 17426588, 2019-04-26, 1203, 1, pp., Registrované v: SCOPUS
  [1.2] KASHIRINA, I. L. - FEDUTINOV, K. A. - AZARNOVA, T. V. - BONDARENKO, Yu V. Continuous data stream clustering based on a generalized model of art family neural network. In Journal of Physics: Conference Series. ISSN 17426588, 2019-04-24, 1202, 1, pp., Registrované v: SCOPUS
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Information retrieval from web documents with utilization of neural networks. In Communication and Information Technologies : KIT 2013. Eds. Dedera, Ľ., Očkay, M., Baráth, J. - Liptovský Mikuláš : Armed Forces Academy of gen. M.R. Štefanik, 2013, 7 p. ISBN 978-80-8040-464-2. Typ: AFDA
• SKOVAJSOVÁ, Lenka - MOKRIŠ, Igor. Dimension reduction methods of text documents by neural networks. In KIT 2015 : Communication and information technologies conference proceedings. Eds. Ľubomír Dedera, Miloš Očkay, Július Baráth. - Liptovský Mikuláš : Armed Forces Academy of gen. M. R. Štefánik, 2015, p. 1-6. ISBN 978-80-8040-508-3. Dostupné na internete: http://kit2015.aos.sk/proceedings/pdf/skovajsova.pdf (KIT 2015 : International scientific conference on communication and information technologies) Typ: AFD
• SKOVAJSOVÁ, Lenka**. Long short-term memory description and its application in text processing. In KIT 2017: Communication and information technologies conference proceedings. - Liptovský Mikuláš : Armed forces academy of gen. M.R. Štefánik, 2017, p. 136-139. ISBN 978-80-8040-545-8. Dostupné na: https://doi.org/10.23919/KIT.2017.8109465 (KIT 2017 : International scientific conference on communication and information technologies) Typ: ADNB
  Citácie:

  [1.1] ALNAMI, Abrar - ALMASRE, Miada - AL-MALKI, Norah. Story Generation from Images Using Deep Learning. In INFORMATION, COMMUNICATION AND COMPUTING TECHNOLOGY (ICICCT 2021), 2021, vol. 1417, no., pp. 198-208. ISSN 1865-0929. Dostupné na: https://doi.org/10.1007/978-3-030-88378-2_16, Registrované v: WOS
  [1.1] HUNG, Wei-Chieh - LIN, Yih-Lon - LIN, Chi-Wei - CHIN, Wei-Leng - WU, Chih-Hsing. Advanced Sampling Technique in Radiology Free-Text Data for Efficiently Building Text Mining Models by Deep Learning in Vertebral Fracture. In DIAGNOSTICS, 2024, vol. 14, no. 2, pp. Dostupné na: https://doi.org/10.3390/diagnostics14020137, Registrované v: WOS
  [1.1] KAYTE, Sangramsing - SCHNEIDER-KAMP, Peter. A Mixed Neural Network and Support Vector Machine Model for Tender Creation in the European Union TED Database. In KMIS: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT, VOL 3: KMIS, 2019, vol., no., pp. 139-145. Dostupné na: https://doi.org/10.5220/0008362701390145, Registrované v: WOS
  [1.1] KOTENKO, Igor - SAENKO, Igor - LAUTA, Oleg - KARPOV, Mikhail. Methodology for Management of the Protection System of Smart Power Supply Networks in the Context of Cyberattacks. In ENERGIES, 2021, vol. 14, no. 18, pp. Dostupné na: https://doi.org/10.3390/en14185963, Registrované v: WOS
  [1.1] WANG, Shaokang - CHEN, Yihao - MING, Hongjun - HUANG, Hai - MI, Lingxian - SHI, Zengyi. Improved Danmaku Emotion Analysis and Its Application Based on Bi-LSTM Model. In IEEE ACCESS. ISSN 2169-3536, 2020, vol. 8, no., pp. 114123-114134. Dostupné na: https://doi.org/10.1109/ACCESS.2020.3001046, Registrované v: WOS
  [1.1] ZENG, Yi - PAN, Peng - HE, Zhizhou - SHEN, Zhouyang. An innovative method for axial pressure evaluation in smart rubber bearing based on bidirectional long-short term memory neural network. In MEASUREMENT. ISSN 0263-2241, 2021, vol. 182, no., pp. Dostupné na: https://doi.org/10.1016/j.measurement.2021.109653, Registrované v: WOS
  [1.1] ZHENG, Zhicong - QI, Linhai - WANG, Hong - ZHU, Manting - CHEN, Qian. Recognition method of voltage sag causes based on Bi-LSTM. In IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING. ISSN 1931-4973, 2020, vol. 15, no. 3, pp. 418-425. Dostupné na: https://doi.org/10.1002/tee.23070, Registrované v: WOS
  [1.2] BAKAMBEKOVA, Adilya - JAMES, Alex Pappachen. Deep learning theory simplified. In Modeling and Optimization in Science and Technologies. ISSN 21967326, 2020-01-01, 14, pp. 41-55., Registrované v: SCOPUS
  [1.2] HIDAYAT, Wahyutama Fitri - JULIANTO, Muhammad Fahmi - MALAU, Yesni - SETIADI, Ahmad - SRIYADI. Implementation of LSTM and Adam Optimization as a Cryptocurrency Polygon Price Predictor. In 2023 International Conference on Information Technology Research and Innovation, ICITRI 2023, 2023-01-01, pp. 123-127. Dostupné na: https://doi.org/10.1109/ICITRI59340.2023.10249571, Registrované v: SCOPUS
  [1.2] KAMMAKOMATI, Mehant - TARUN KUMAR, P. V. - RADHIKA, K. Comparison of Machine Learning Algorithms for Hate and Offensive Speech Detection. In Lecture Notes on Data Engineering and Communications Technologies, 2022-01-01, 116, pp. 873-881. ISSN 23674512. Dostupné na: https://doi.org/10.1007/978-981-16-9605-3_61, Registrované v: SCOPUS
  [1.2] KARTCHNER, Darren R. - PALMER, Rachel - JAYAWEERA, Sudharman K. Satellite Navigation Anti-Spoofing Using Deep Learning on a Receiver Network. In 2021 IEEE Cognitive Communications for Aerospace Applications Workshop, CCAAW 2021, 2021-06-21, pp. Dostupné na: https://doi.org/10.1109/CCAAW50069.2021.9527295, Registrované v: SCOPUS
  [1.2] RAMADANI, Risky Aswi - PUTRA, I. Ketut Gede Dharma - SUDARMA, Made - GIRIANTARI, Ida Ayu Dwi. A new technology on translating Indonesian spoken language into Indonesian sign language system. In International Journal of Electrical and Computer Engineering. ISSN 20888708, 2021-08-01, 11, 4, pp. 3338-3346. Dostupné na: https://doi.org/10.11591/ijece.v11i4.pp3338-3346, Registrované v: SCOPUS
  [1.2] WIIAVA, A.Y. - FATICHAH, C. - SAIKHU, A. Stock price prediction with golden cross and death cross on technical analysis indicators using long short term memory. In 2022 5th International Conference on Information and Communications Technology (ICOIACT 2022). 2022, pp. 278-283. doi: 10.1109/ICOIACT55506.2022.9971844., Registrované v: SCOPUS
  [3.1] KAYTE, S.N. - SCHNEIDER-KAMP, P. A neural NLP framework for an optimized UI for creating tenders in the TED database of the EU. In The Ninth International Conference on Ambient Computing, Applications, Services and Technologies (AMBIENT 2019). 2019, ISBN 978-1-61208-739-9, pp. 19-24.
  [3.1] SIMATUPANG, C.G.K. - SWASTIKA, W. - SUGANDA, T.R. Perancangan aplikasi berbasis web untuk prediksi harga saham dengan metode LSTM. In Sainsbertek Jurnal Ilmiah Sains & Teknologi. ISSN 2085-8019, 2022, vol. 3, no. 1, pp. 1-8.
• SKOVAJSOVÁ, Lenka. Comparison of cryptography by chaotic neural network and by AES. In IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics : Proceedings, 2019, p. 29-32. ISBN 978-1-7281-5624-8. Dostupné na: https://doi.org/10.1109/CINTI-MACRo49179.2019.9105232 (CINTI-MACRo 2019 : IEEE Joint 19th International Symposium on Computational Intelligence and Informatics and 7th International Conference on Recent Achievements in Mechatronics, Automation, Computer Sciences and Robotics) Typ: ADMB
  Citácie:

  [1.1] ZOLFAGHARI, Behrouz - KOSHIBA, Takeshi. AI Makes Crypto Evolve. In APPLIED SYSTEM INNOVATION, 2022, vol. 5, no. 4, pp. Dostupné na: https://doi.org/10.3390/asi5040075, Registrované v: WOS
  [1.1] ZOLFAGHARI, Behrouz - KOSHIBA, Takeshi. The Dichotomy of Neural Networks and Cryptography: War and Peace. In APPLIED SYSTEM INNOVATION, 2022, vol. 5, no. 4, pp. Dostupné na: https://doi.org/10.3390/asi5040061, Registrované v: WOS
  [3.1] ZOLFAGHARI, B. - NEMATI, H.R. - YANAI, N. - BIBAK, K. The dichotomy of crypto and NN: War and peace. In Crypto and AI: From Coevolution to Quantum Revolution. Springer. ISBN 978-3-031-44806-5, 2023, pp. 15-39.
• KRAMMER, Peter - KVASSAY, Marcel - FORGÁČ, Radoslav** - OČKAY, Miloš - SKOVAJSOVÁ, Lenka - HLUCHÝ, Ladislav - SKURČÁK, Ľuboš - PAVLOV, Ľuboš. Regression analysis and modeling of local environmental pollution levels for the electric power industry needs. In Computing and informatics, 2022, vol. 41, no. 3, p. 861-884. (2021: 0.455 - IF, Q4 - JCR, 0.226 - SJR, Q4 - SJR, karentované - CCC). (2022 - Current Contents). ISSN 1335-9150. Dostupné na: https://doi.org/10.31577/cai_2022_3_861 Typ: ADDA
• MOJŽIŠ, Ján** - KRAMMER, Peter - KVASSAY, Marcel - SKOVAJSOVÁ, Lenka - HLUCHÝ, Ladislav. Towards reliable baselines for document-level sentiment analysis in the Czech and Slovak languages. In Future internet, 2022, vol. 14, no. 10, art. no. 300. (2021: 0.793 - SJR, Q2 - SJR). ISSN 1999-5903. Dostupné na: https://doi.org/10.3390/fi14100300 Typ: ADMB
  Citácie:

  [1.1] SOKOLOVA, Zuzana - HARAHUS, Maros - JUHAR, Jozef - PLEVA, Matus - STAS, Jan - HLADEK, Daniel. Comparison of Machine Learning Approaches for Sentiment Analysis in Slovak. In ELECTRONICS, 2024, vol. 13, no. 4, pp. Dostupné na: https://doi.org/10.3390/electronics13040703, Registrované v: WOS
  [1.2] ARORA, Divya - TAYAL, Devendra K. - YADAV, Sumit K. Sentiment Hotspots’ Extraction in Large Text Documents Using Neutrosophic Sets. In Lecture Notes in Networks and Systems, 2024-01-01, 786, pp. 37-46. ISSN 23673370. Dostupné na: https://doi.org/10.1007/978-981-99-6547-2_4, Registrované v: SCOPUS
• SKOVAJSOVÁ, Lenka - BADIDOVÁ, Bianca - BIĽANSKÁ, Michaela - DEDERA, Ľubomír - JAVUREK, Martin - ĎULÍK, Miroslav. Feedforward neural network classification of tree species using hyperspectral imagery. In 2023 Communication and information technologies conference proceedings : KIT 2023. - Danvers : IEEE, 2023, p. 240-244. ISBN 979-8-3503-3838-6. Dostupné na: https://doi.org/10.1109/KIT59097.2023.10297073 (KIT 2023 : 2023 Communication and information technologies) Typ: ADMB