G. Nguyen, J. Sáinz-Pardo Díaz, A. Calatrava, L. Berberi, O. Lytvyn, V. Kozlov, V. Tran, G. Moltó, Á. López García:
Landscape of Machine Learning Evolution: Privacy-Preserving Federated Learning Frameworks and Tools.
Artificial Intelligence Review, Volume 58, article 51, ISSN 0269-2821, DOI 10.1007/s10462-024-11036-2, Springer Nature, 2025, CC BY 4.0.

G. Nguyen:
Applied Machine Learning, AI and Data: Responsible AI and Data Privacy Awareness.
IBERGRID 2024 (Iberian Grid conference): Better Software for Better Science, Porto, Portugal. 2024 [ Abstract ]

J. Sáinz-Pardo Díaz, A. Heredia Canales, I. Heredia Cachá, V. Tran, G. Nguyen, K. Alibabaei, M. Obregón Ruiz, S. Rebolledo Ruiz, Á. López García:
Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.
ACM Workshop on Information Hiding and Multimedia Security, Special Session: Security and Privacy Challenges towards Trustworthy Federated Learning, pp. 253–264, ISBN 979-8-4007-0637-0/24/06, DOI 10.1145/3658664.3659642, Association for Computing Machinery, Advancing Computing as a Science & Profession. 2024, CC BY 4.0.

O. Lytvyn, G. Nguyen:
Secure Federated Learning for Multi-Party Network Monitoring.
IEEE Access, Volume 12, pp. 163262-163284, ISSN 2169-3536, DOI 10.1109/ACCESS.2024.3486810, 2024, CC BY-NC-ND 4.0

G. Nguyen, S. Dlugolinsky, V. Tran, Á. López García:
Network Security AIOps for Online Stream Data Monitoring.
Neural Computing and Applications, Volume 36, Issue 24, pp. 14925-14949, ISSN 1433-3058, DOI 10.1007/s00521-024-09863-z, Springer Nature, 2024, CC BY 4.0.

M. Ahmadzai, G. Nguyen:
Differential Private Federated Learning in Geographically Distributed Public Administration Processes.
Future Internet, Special Issue: Information and Future Internet Security, Trust and Privacy II; Volume 16, Issue 7, Section Cybersecurity, Article 220, ISSN 1999-5903, DOI 10.3390/fi16070220. 2024, CC BY 4.0.

E. Kuric, P. Demcak, M. Krajcovic, G. Nguyen:
Cognitive abilities and visual complexity impact first impressions in five-second testing.
Behaviour & Information Technology, ISSN 1362-3001, DOI 10.1080/0144929X.2023.2272747. Taylor & Francis. 2024, CC BY 4.0 DEED.

J. Balado, G. Nguyen:
ChatGPT for Point Cloud 3D Object Processing.
The ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume X-1/W1-2023, pp. 107–114, ISSN 1877-0509, DOI 10.5194/isprs-annals-X-1-W1-2023-107-2023. Copernicus Publications. 2023, CC BY 4.0.

M. Kretinin, G. Nguyen:
Topic modeling on news articles using Latent Dirichlet Allocation.
The 26th IEEE International Conference on Intelligent Engineering Systems (INES 2022), pp. 249-254, ISBN 978-1-6654-9209-6, ISSN 1543-9259, DOI 10.1109/INES56734.2022.9922609.

G. Nguyen:
Introduction to Data Science.
The Edition of University Textbooks on Informatics and Information Technologies.
ISBN 978-80-227-5193-3. Spektrum STU Publishing. 2022. Available in [ ELVIRA ], FIIT STU e-Library.

M. Nguyen, T. Tran, Th. Nguyen, G. Nguyen:
An Improved Sea Lion Optimization for Workload Elasticity Prediction with Neural Networks.
International Journal of Computational Intelligence Systems, Volume 15, Issue 1, Article: 90, ISSN 1875-6883, DOI 10.1007/s44196-022-00156-8, Springer Nature. 2022, CC BY 4.0 DEED.

G. Nguyen, V. Šipková, S. Dlugolinsky, M. Nguyen, V. Tran, L. Hluchý:
A comparative study of operational engineering for environmental and compute-intensive applications.
Array, Volume 12, art. no. 100096, ISSN 2590-0056, DOI 10.1016/j.array.2021.100096. Elsevier, 2021, CC BY 4.0.

M. Nguyen, T. Tran, Th. Nguyen, G. Nguyen:
Hybridization of Galactic Swarm and Evolution Whale Optimization for Global Search Problem.
IEEE Access, 2020, Volume 8, Issue 1, pp. 74991-75010, ISSN 2169-3536, DOI 10.1109/ACCESS.2020.2988717, 2020, CC BY 4.0.

Á. López García, J. Marco De Lucas, M. Antonacci, W. Zu Castell, M. David, M. Hardt, L. Lloret Iglesias, G. Moltó, M. Plociennik, V. Tran, A. S. Alic, M. Caballer, I. Campos Plasencia, A. Costantini, S. Dlugolinsky, D. Cristina Duma, G. Donvito, J. Gomes, I. Heredia Cacha, K. Ito, V. Y. Kozlov, G. Nguyen, P. Orviz Fernández, Z. Šustr, P. Wolniewicz:
A cloud-based framework for machine learning workloads and applications.
IEEE Access, Volume 8, Issue 1, pp. 18681-18692, ISSN 2169-3536, DOI 10.1109/ACCESS.2020.2964386. 2020, CC BY 4.0.

G. Nguyen, S. Dlugolinsky, M. Bobák, V. Tran, Á. López García, I. Heredia, P. Malík, L. Hluchý:
Machine learning and deep learning frameworks and libraries for large-scale data mining: a survey.
Artificial Intelligence Review, Volume 52, Issue 1, pp. 77-124, ISSN 0269-2821, DOI 10.1007/s10462-018-09679-z. Springer Nature, 2019, CC BY 4.0.
Springer Nature research highlights in Computer Science (2020). Ocenenie za špičkové publikácie SAV (2023) - Award for the top publications of the Slovak Academy of Sciences.

S. Dlugolinsky, G. Nguyen, M. Šeleng, L. Hluchý:
Decision influence and proactive sale support in a chain of convenience stores.
The 21th IEEE International Conference on Intelligent Engineering Systems (INES 2017), pp. 277-284, ISBN 978-1-4799-7677-5, ISSN 1562-5850, DOI 10.1109/INES.2017.8118570.

G. Nguyen, J. Astaloš, L. Hluchý:
Considerations about Data Processing, Machine Learning, HPC, Apache Spark and GPU.
11th Workshop on Intelligent and Knowledge Oriented Technologies affiliated with 35th International conference Data and Knowledge (WIKT-DaZ 2016), pp. 241-247, ISBN 978-80-227-4619-9. [ PDF ]

G. Nguyen, S. Dlugolinsky, M. Laclavík, M. Šeleng, V. Tran:
Next improvement towards linear Named Entity Recognition using character gazetteers.
Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing (AISC), Volume 282, pp. 255-265, ISBN 978-3-319-06568-7, ISSN 2194-5357, DOI 10.1007/978-3-319-06569-4_19, Springer, Cham, 2014.

S. Dlugolinsky, G. Nguyen, M. Laclavík, M. Šeleng:
Character gazetteer for named entity recognition with linear matching complexity.
The 3rd World Congress on Information and Communication Technologies WICT 2013, IEEE Systems Man and Cybernetics Society, p. 364-368, ISBN 978-1-4799-3230-6, DOI 10.1109/WICT.2013.7113096.

T. V. Do, T. Krejczinger, M. Laclavik, N. T. Le, M. Maleszka, G. Nguyen, N. T. Nguyen:
An Application of Computational Collective Intelligence to Governance and Policy Modelling.
Advanced Computational Methods for Knowledge Engineering. Studies in Computational Intelligence, Volume 479, pp. 237-249, ISBN 978-3-319-00292-7, ISSN 1860-949X, DOI 10.1007/978-3-319-00293-4_18, Springer, Heidelberg, 2013.

T. Dang, L. Hluchý, G. Nguyen, I. Budinská, Z. Balogh, M. Laclavík:
Knowledge management and data classification in Pellucid.
Intelligent Information Processing and Web Mining. IIPWM 2003. Advances in Soft Computing, Volume 22, pp. 563-567, ISBN 978-3-540-00843-9, ISSN 1867-5662, DOI 10.1007/978-3-540-36562-4_62, Springer, Berlin, Heidelberg, 2003.

G. Nguyen, T. Dang, L. Hluchy, M. Laclavik, Z. Balogh, I. Budinská:
Agent Platform Evaluation and Comparison.
II-SAS, Pellucid EU 5FP IST-2001-34519 RTD, Technical report, June 2002. [ PDF ]

G. Nguyen, V. Tran, M. Kotočová:
Application Recovery in Parallel Programming Environment.
Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2002. Lecture Notes in Computer Science (LNCS), Volume 2474, pp. 234-242, ISBN 3-540-44296-0, ISSN 0302-9743, DOI 10.1007/3-540-45825-5_39, Springer, Berlin, Heidelberg, 2002.