Publications

Publications for year 2025

Publications

• BERBERI, Lisana** - KOZLOV, Valentin - NGUYEN, Giang - SÁINZ-PARDO DÍAZ, Judith - CALATRAVA, Amanda - MOLTÓ, Germán - TRAN, Viet - LÓPEZ GARCÍA, Álvaro. Machine learning operations landscape: platforms and tools. In Artificial Intelligence Review, 2025, vol. 58, no. 6, art. no. 167. (2024: 13.9 - IF, Q1 - JCR, 3.01 - SJR, Q1 - SJR). ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-025-11164-3 Typ: ADCA
  Citations:

  [1.1] COMPAGNUCCI, Ivan - PINCIROLI, Riccardo - TRUBIANI, Catia. Experimenting Architectural Patterns in Federated Learning Systems. In JOURNAL OF SYSTEMS AND SOFTWARE, 2026, vol. 232, no., art. no. 112655. ISSN 0164-1212. Dostupné na: https://doi.org/10.1016/j.jss.2025.112655, Registrované v: WOS
  [1.1] RUGGERI, Dario - TAZZA, Gabriele - VIDACS, Laszlo. Introducing MLOps to Facilitate the Development of Machine Learning Models in Agronomy: A Case Study. In IEEE ACCESS, 2025, vol. 13, no., pp. 122059-122070. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2025.3586691, Registrované v: WOS
  [1.1] TAPPE, Mark - MODDEMANN, Lukas - STEUDE, Henrik - HRANISAVLJEVIC, Nemanja - DIEDRICH, Alexander - MYSCHIK, Stephan - GEIER, Christian - CREUTZENBERG, Martin - GRASHORN, Philipp - HOPPE, Tobias - ERNST, Hauke - NIGGEMANN, Oliver. A supervised AI-based toolchain for anomaly detection, diagnosis, and reconfiguration for the life-support system of the COLUMBUS module of the ISS. In CEAS SPACE JOURNAL, 2025, vol., no. ISSN 1868-2502. Dostupné na: https://doi.org/10.1007/s12567-025-00654-3, Registrované v: WOS
  [1.2] JENA, Biswaranjan - MISHRA, Debahuti - MISHRA, Smitaprava. MLOps for Improved Inferencing, Deployability and Observability of Recommendation Engine. In International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025, 2025-01-01, pp. ISBN [9798331532796]. Dostupné na: https://doi.org/10.1109/ISAC364032.2025.11156530, Registrované v: SCOPUS
  [1.2] KUMARA, Indika - ARTS, Rowan - FERREIRA, Renato Cordeiro - DI NUCCI, Dario - KAZMAN, Rick - TAMBURRI, Damian Andrew - VAN DEN HEUVEL, Willem Jan. MLOps in Practice: Requirements and a Reference Architecture from Industry. In Lecture Notes in Computer Science, 2026-01-01, 15929 LNCS, pp. 20-37. ISBN [9783032021373]. ISSN 03029743. Dostupné na: https://doi.org/10.1007/978-3-032-02138-0_2, Registrované v: SCOPUS
  [1.2] SAIM - AKRAM, Saad Ullah - HARJULA, Erkki - LOVEN, Lauri - MEHMOOD, Hassan. MLOps for Medical Imaging: A Cloud-Edge architecture for Experiment Tracking and Model Evaluation. In Proceedings International Conference on Network Protocols Icnp, 2025-01-01, pp. ISBN [9798331503765]. ISSN 10921648. Dostupné na: https://doi.org/10.1109/ICNP65844.2025.11192460, Registrované v: SCOPUS
  [1.2] TANSITPONG, Praowpan. Visualizing Impact of Sustainability Outcome in Healthcare Infrastructure: Bayesian Decision Models for Thailand Health Administration. In International Journal of Healthcare Information Systems and Informatics, 2025-01-01, 20, 1, pp. ISSN 15553396. Dostupné na: https://doi.org/10.4018/IJHISI.390784, Registrované v: SCOPUS
  [1.2] VRBANČIČ, Grega - LAHOVNIK, Zala - PODGORELEC, Vili. Quality Assurance of Predictive Models in Intelligent Systems. In Ceur Workshop Proceedings, 2025-01-01, 4077, pp. ISSN 16130073., Registrované v: SCOPUS
• NGUYEN, Giang** - SÁINZ-PARDO DÍAZ, Judith - CALATRAVA, Amanda - BERBERI, Lisana - LYTVYN, Oleksandr - KOZLOV, Valentin - TRAN, Viet - MOLTÓ, Germán - LÓPEZ GARCÍA, Álvaro. Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools. In Artificial Intelligence Review, 2025, vol. 58, no. 2, art. no. 51. (2024: 13.9 - IF, Q1 - JCR, 3.01 - SJR, Q1 - SJR). ISSN 0269-2821. Dostupné na: https://doi.org/10.1007/s10462-024-11036-2 Typ: ADCA
  Citations:

  [1.1] GONG, Suning - ZHANG, Jie - DUAN, Yuxi. Visual Perception Element Evaluation of Suburban Local Landscapes: Integrating Multiple Machine Learning Methods. In BUILDINGS, 2025, vol. 15, no. 18, art. no. 3312. Dostupné na: https://doi.org/10.3390/buildings15183312, Registrované v: WOS
  [1.1] HARRATH, Youssef - ADOHINZIN, Oswald - KAABI, Jihene - SAATHOFF, Morgan. Bridging Domains: Advances in Explainable, Automated, and Privacy-Preserving AI for Computer Science and Cybersecurity. In COMPUTERS, 2025, vol. 14, no. 9, art. no. 374. ISSN 2073-431X. Dostupné na: https://doi.org/10.3390/computers14090374, Registrované v: WOS
  [1.1] LIN, Li - SHEN, Wei - SONG, Chuanlan - MA, Shuai. FLClustering: A Fair and Robust Federated Learning Approach in Heterogeneous Environments. In IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2025, vol., no. ISSN 2329-924X. Dostupné na: https://doi.org/10.1109/TCSS.2025.3602647, Registrované v: WOS
  [1.1] MENG, Fanzhi - XU, Wei - QIAN, Yanan - SUN, Feng - SUN, Bing - YANG, Zhe. Artificial intelligence (AI)-enabled thermochemical risk modeling via self-attentive deep neural networks for predicting the SADT of organic peroxides. In JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2026, vol. 99, no., art. no. 105827. ISSN 0950-4230. Dostupné na: https://doi.org/10.1016/j.jlp.2025.105827, Registrované v: WOS
  [1.1] SEN, Anik - HENG, Swee-Huay - TAN, Shing-Chiang. A Comprehensive Review of Cryptographic Techniques in Federated Learning for Secure Data Sharing and Applications. In IEEE ACCESS, 2025, vol. 13, no., pp. 135138-135164. ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2025.3593953, Registrované v: WOS
  [1.1] ZHANG, Jiqun - ZHANG, Shengli - ZHANG, Gaojun - LIAO, Guofu. A data trading scheme based on blockchain and game theory in federated learning. In EXPERT SYSTEMS WITH APPLICATIONS, 2025, vol. 278, no., art. no. 127158. ISSN 0957-4174. Dostupné na: https://doi.org/10.1016/j.eswa.2025.127158, Registrované v: WOS
  [1.2] ALDOWAH, Hanan - REHMAN, Shafiq Ul - SHAHANI, Sohail Ahmed. Addressing data privacy concerns in digital emerging technologies: Strategies and best practices. In Challenges and Solutions for Cybersecurity and Adversarial Machine Learning, 2025-06-06, pp. 449-475. ISBN [9798337322001, 9798337322025]. Dostupné na: https://doi.org/10.4018/979-8-3373-2200-1.ch014, Registrované v: SCOPUS
  [1.2] MOHANTY, Maitri - RATH, Premansu Sekhara - MOHAPATRA, Ambarish G. - MOHANTY, Anita - SENAPATI, Santosh Kumar. AI-enhanced data processing for modeling applications. In Advances in Computers, 2025-01-01, pp. ISSN 00652458. Dostupné na: https://doi.org/10.1016/bs.adcom.2025.09.004, Registrované v: SCOPUS
  [1.2] PANDEY, Ram Kinkar - THINAKARAN, Rajermani - KUMAR, Vivek - SRIVASTAVA, Prabhat Kr - PRAKASH, Ravi - CHUGH, Amit. FEDERATED LEARNING FOR PRIVACY-PRESERVING MACHINE LEARNING: A COMPREHENSIVE REVIEW OF TECHNIQUES, ARCHITECTURES, AND OPEN RESEARCH DIRECTIONS. In International Journal of Applied Mathematics, 2025-01-01, 38, 3S, pp. 319-331. ISSN 13111728. Dostupné na: https://doi.org/10.12732/ijam.v38i3s.149, Registrované v: SCOPUS
  [1.2] REHMAN, Shafiq Ul. Challenges and solutions for cybersecurity and adversarial machine learning. In Challenges and Solutions for Cybersecurity and Adversarial Machine Learning, 2025-06-06, pp. 1-568. ISBN [9798337322001, 9798337322025]. Dostupné na: https://doi.org/10.4018/979-8-3373-2200-1, Registrované v: SCOPUS
  [1.2] SILVA, Catarina - BARRACA, Joao Paulo - SALVADOR, Paulo. Evaluating the Effectiveness of Differential Privacy Against Profiling. In 2025 IEEE International Conference on Consumer Technology Europe ICCT Europe 2025, 2025-01-01, pp. ISBN [9798350354034]. Dostupné na: https://doi.org/10.1109/ICCT-Europe63283.2025.11157698, Registrované v: SCOPUS
  [3.1] SWAPNA, M. - RAVIRALA, T. - REDDY, N. Diabetic retinopathy detection using federated learning and vision transformers. In International Journal of Interpreting Enigma Engineers (IJIEE). 2025, vol. 2, no. 1, pp. 10-21. doi: 10.62674/ijiee.2025.v2i01.002.
• NGUYEN, Giang - DLUGOLINSKÝ, Štefan - TRAN, Viet - LÓPEZ GARCÍA, Álvaro. Network security AIOps for online stream data monitoring. In Neural Computing & Applications, 2024, vol. 36, no. 24, p. 14925-14949. (2023: 4.5 - IF, Q2 - JCR, 1.256 - SJR, Q1 - SJR). ISSN 0941-0643. Dostupné na: https://doi.org/10.1007/s00521-024-09863-z Typ: ADCA
  Citations:

  [1.2] KHILENKO, Volodymyr - STEPANOV, Oleksii - SAFONCHYK, Dmytro - KHYLENKO, Vasyl - HLUSHCHENKO, Vladyslav. Analysis and optimization of quantitative characteristics of the formation of multi-threaded parallelism processes in BigData sorting tasks. In International Conference on Artificial Intelligence Computer Data Sciences and Applications Acdsa 2025, 2025-01-01, pp. ISBN [9798331535629]. Dostupné na: https://doi.org/10.1109/ACDSA65407.2025.11166596, Registrované v: SCOPUS
  [1.2] LI, Ruige - SUN, Li. Network security threat detection model based on large-scale multi-source data analysis and perception fusion. In Neural Computing and Applications, 2025-01-01, pp. ISSN 09410643. Dostupné na: https://doi.org/10.1007/s00521-025-11285-4, Registrované v: SCOPUS
  [1.2] ZHANG, Lingzhe - JIA, Tong - JIA, Mengxi - WU, Yifan - LIU, Aiwei - YANG, Yong - WU, Zhonghai - HU, Xuming - YU, Philip - LI, Ying. A Survey of AIOps in the Era of Large Language Models. In ACM Computing Surveys, 2025-09-09, 58, 2, pp. ISSN 03600300. Dostupné na: https://doi.org/10.1145/3746635, Registrované v: SCOPUS