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Zavitsanos E., Spyropoulou E., Giannakopoulos G. and Paliouras G., Machine Learning for Identifying Risk in Financial Statements: A Survey, In ACM Computing Surveys, Association for Computing Machinery (ACM), volume 57, (Pages: 1–37), 2025. [pdf] [doi]

Rentoumi V., Vassiliou E., Pittaras N., Demiraj A., Papageorgiou M., Sali D., Papatriantafyllou A., Griziotis P., Chardouveli A., Pattakos K. and Paliouras G., Linguistic cues for automatic assessment of Alzheimer’s disease across languages, In Journal of Alzheimer’s Disease, SAGE Publications, volume 104, (Pages: 656–666), 2025. [url] [doi]

Mathe E., Vernikos I., Spyrou E. and Mylonas P., Leveraging Artificial Occluded Samples for Data Augmentation in Human Activity Recognition, In Sensors, MDPI AG, volume 25, (Pages: 1163), 2025. [pdf] [doi]

Balaskas G., Papadopoulos H., Pappa D., Loisel Q. and Chastin S., A Framework for Domain-Specific Dataset Creation and Adaptation of Large Language Models, In Computers, MDPI AG, volume 14, (Pages: 172), 2025. [pdf] [doi]

Arnal Segura M., Bini G., Krithara A., Paliouras G. and Tartaglia G. G., Machine Learning Methods for Classifying Multiple Sclerosis and Alzheimer’s Disease Using Genomic Data, In International Journal of Molecular Sciences, MDPI AG, volume 26, (Pages: 2085), 2025. [pdf] [doi]

Christopoulou M., Koufos I., Xilouris G. and Dimitriou N., 5G/6G Architecture Evolution for XR and Metaverse: Feasibility Study, Security and Privacy Challenges for Smart Culture Applications, In IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), (Pages: 1–1), 2025. [pdf] [doi]

Loutas T., Oikonomou A. and Rekatsinas C., Bio-inspired discontinuous composite materials with a machine learning optimized architecture, In Composite Structures, Elsevier BV, volume 351, (Pages: 118597), 2025. [pdf] [doi]

Pateromichelakis E., Samdanis K., Majumdar S., Chen T. and Dimitriou N., Evolution of RAN-Core Convergence Toward 6G: An Analysis of the Key Technologies, Principles, and Challenges, In IEEE Communications Standards Magazine, Institute of Electrical and Electronics Engineers (IEEE), (Pages: 1–7), 2025. [pdf] [doi]

Aisopos F., Vogiatzis D., Pinto M., Veskos P., Paliouras G. and Blommestijn R., An analytical comparison of machine learning- based techniques for test case generation across diverse reaction wheel systems, In Applied Intelligence, Springer Science and Business Media LLC, volume 55, 2025. [pdf] [doi]

Chastin S.F.M., Smith N., Agnello D.M., An, Q., Altenburg T.M., Balaskas G., de Boer J., Cardon G., Chinapaw M.J.M., Chrifou R., Dall P.M., Davis A., Deforche B., Delfmann, L.R., Giné-Garriga M., Goh K., Hunter S.C., Leask C.F., Lippke S., Loisel Q.E.A., Longworth G.R., McCaffrey L., Messiha K., Morejon S., Pappa D., Papadopoulos H., Ryde G.C., Sandlund M., Schreier M., Steiner A., Verloigne M., Vogelsang M. and Wadell K.., Principles and attributes of evidence-based co-creation: From naïve praxis toward a trustworthy methodology - A Health CASCADE study, In Public Health, Elsevier BV, volume 248, (Pages: 105922), 2025. [pdf] [doi]

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