Senior Scientist
doc. Ing. Giang NGUYEN, PhD.
Publications for year 2025
On this page, you can search the on-line database of the Central Library of the SAS for the publications.
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: ADCACitations:[1.2] RUGGERI, Dario - TAZZA, Gabriele - VIDACS, Laszlo. Introducing MLOps to Facilitate the Development of Machine Learning Models in Agronomy: A Case Study. In IEEE Access, 2025-01-01, pp. Dostupné na: https://doi.org/10.1109/ACCESS.2025.3586691, Registrované v: SCOPUS
- KOKIN, Hlib** - LYTVYN, Oleksandr - NGUYEN, Giang. Optimal differential privacy for deep learning model training. In Procedia Computer Science, 2024, vol. 246, p. 2419-2428. (2023: 0.505 - SJR). ISSN 1877-0509. Dostupné na: https://doi.org/10.1016/j.procs.2024.09.483 Typ: ADMBCitations:[1.1] ARZOVS, Audris - PARSHUTIN, Sergei - URBANOVICS, Valts - RUBULIS, Janis - DEJUS, Sandis. Application of differential privacy to sensor data in water quality monitoring task. In ECOLOGICAL INFORMATICS, 2025, vol. 86, no., art. no. 103019. ISSN 1574-9541. Dostupné na: https://doi.org/10.1016/j.ecoinf.2025.103019, Registrované v: WOS
- LYTVYN, Oleksandr** - NGUYEN, Giang. Secure federated learning for multi-party network monitoring. In IEEE Access, 2024, vol. 12, p. 163262-163284. (2023: 3.4 - IF, Q2 - JCR, 0.96 - SJR, Q1 - SJR). ISSN 2169-3536. Dostupné na: https://doi.org/10.1109/ACCESS.2024.3486810 Typ: ADCACitations:[1.1] SHUKLA, Shubhi - RAJKUMAR, Suraksha - SINHA, Aditi - ESHA, Mohamed - ELANGO, Konguvel - SAMPATH, Vidhya. Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity. In SCIENTIFIC REPORTS, 2025, vol. 15, no. 1, art. no. 13061. ISSN 2045-2322. Dostupné na: https://doi.org/10.1038/s41598-025-95858-2, Registrované v: WOS
- 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
- 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: ADCACitations:[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[3.1] SILVA, C. - BARRACA, J.P. - SALVADOR, P. Evaluating the effectiveness of differential privacy against profiling. In Proceedings of the 2025 The International Conference on Consumer Technology (ICCT-Europe 2025). 2025, pp. 28-30. doi: 10.54499/UIDB/50008.[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.