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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]

Nentidis A., Katsimpras G., Krithara A., Krallinger M., Rodríguez-Ortega M., Rodriguez-López E., Loukachevitch N., Sakhovskiy A., Tutubalina E., Dimitriadis D., Tsoumakas G., Giannakoulas G., Bekiaridou A., Samaras A., Giorgio Maria Di Nunzio, Ferro N., Marchesin S., Martinelli M., Silvello G.and Paliouras G., Overview of BioASQ 2025: The Thirteenth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering, Chapter in , Springer Nature Switzerland, (Pages: 173–198), 2025. [url] [doi]

Sideras A., Bougiatiotis K., Zavitsanos E., Paliouras G. and Vouros G., A Multimodal Alignment-Based Anomaly Detection Method for Bankruptcy Prediction, In Proceedings of the 6th ACM International Conference on AI in Finance, ACM, (Pages: 53–61), 2025. [pdf] [doi]

Zavitsanos E., Bougiatiotis K., Sideras A. and Paliouras G., Positive-Unlabeled Learning for Financial Misstatement Detection under Realistic Constraints, In Proceedings of the 6th ACM International Conference on AI in Finance, ACM, (Pages: 864–872), 2025. [pdf] [doi]

Nentidis, Anastasios, Katsimpras, Georgios, Krithara, Anastasia and Paliouras, Georgios, Overview of BioASQ Tasks 13b and Synergy13 in CLEF2025, In CLEF 2025 Working Notes, 2025. [pdf]

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]

Krithara A., Nentidis A., Vandorou E., Katsimpras G., Almirantis Y., Arnal M., Bunevicius A., Farre-maduell E., Kassiss M., Konstantakos V., Matis-Mitchell S., Polychronopoulos D., Rodriguez-Pascual J., Samaras E. G., Samiotaki M., Sanoudou D., Vozi A. and Paliouras G., BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research, In Journal of the American Medical Informatics Association, Oxford University Press (OUP), 2024. [url] [doi]

Nentidis A., Katsimpras G., Krithara A., Lima-López S., Farré-Maduell E., Krallinger M., Loukachevitch N., Davydova V., Tutubalina E., and Paliouras G., Overview of BioASQ 2024: The Twelfth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering, In Experimental IR Meets Multilinguality, Multimodality, and Interaction. CLEF 2024. Lecture Notes in Computer Science, vol 14959, Springer Nature Switzerland, (Pages: 3–27), 2024. [url] [doi]

Nentidis A., Katsimpras G., Krithara Α. and Paliouras G., Overview of BioASQ Tasks 12b and Synergy 12 in CLEF2024, In CLEF 2024: Conference and Labs of the Evaluation Forum, September 09–12, 2024, Grenoble, France, 2024. [pdf]

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