Publications

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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]

Kelesis D., Fotakis D. and Paliouras G., Reducing oversmoothing through informed weight initialization in graph neural networks, In Applied Intelligence, Springer Science and Business Media LLC, volume 55, 2025. [pdf] [doi]

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]

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]

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]

Kelesis D., Fotakis D. and Paliouras G., Partially trained graph convolutional networks resist oversmoothing, In Machine Learning, Springer Science and Business Media LLC, volume 114, 2025. [url] [doi]

Kelesis D., Fotakis D. and Paliouras G., Analyzing the effect of residual connections to oversmoothing in graph neural networks, In Machine Learning, Springer Science and Business Media LLC, volume 114, 2025. [url] [doi]

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