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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]

Svolou S., Aisopos F., Krithara A. and Paliouras G., AI-Driven Drug Repurposing: A Knowledge Graph-based Approach for Rare Diseases, In AI-Driven Drug Repurposing: A Knowledge Graph-based Approach for Rare Diseases, ScienceOpen, 2025. [url] [doi]

Nentidis A., Katsimpras G., Krithara A., Krallinger M., Ortega M. R., Loukachevitch N., Sakhovskiy A., Tutubalina E., Tsoumakas G., Giannakoulas G., Bekiaridou A., Samaras A., Di Nunzio G. M., Ferro N., Marchesin S., Menotti L., Silvello G. and Paliouras G., BioASQ at CLEF2025: The Thirteenth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge, In Hauff, C., et al. Advances in Information Retrieval. ECIR 2025, Springer Nature Switzerland, (Pages: 407–415), 2025. [pdf] [doi]

Nentidis A., Akasiadis C., Charalambidis A. and Artikis A., Dealing with Inconsistency for Reasoning over Knowledge Graphs: A Survey, arXiv, 2025. [pdf] [doi]

Manginas V., Manginas N., Stevinson E., Varghese S., Katzouris N., Paliouras G. and Lomuscio A., A Scalable Approach to Probabilistic Neuro-Symbolic Verification, arXiv, 2025. [pdf] [doi]

Svolou S., Konstantakos V., Krithara A. and Paliouras G., CPP2Vec: a Representation Learning Approach for Cell-Penetrating Peptides Prediction, Cold Spring Harbor Laboratory, 2025. [pdf] [doi]

Pitsikalis M., Alevizos E., Giatrakos N. and Artikis A., Towards Run-Time Adaptation of Complex Event Forecasting, In Proceedings of the 7th International Workshop on Big Mobility Data Analytics (BMDA) of the EDBT/ICDT 2025 Joint Conference co-located with the EDBT/ICDT 2025 Joint Conference, Barcelona, Spain, March 25, 2025 (Boehm M., Daudjee K., eds.), CEUR-WS.org, volume 3946, 2025. [pdf]

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]

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