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P. Amanatidis, E. Lyratzis, V. Angelopoulos, E. Kouloumpris, E. Skaperdas, N. Bassiliades, I. Vlahavas, F. Maris, D. Emmanouloudis, D. Karampatzakis, “Intelligent Water Management through Edge-Enabled IoT, AI, and Big Data Technologies”, IoT, Vol. 7, No 1:5, 2026.
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Zhou, A., Liu, B., Peng, Z., Wang, J., Tsoumakas, G. (2024) Multi-label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples. ECML PKDD 2024 (5), pages 265-281.
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I. Gocev, G. Meditskos, N. Bassiliades, “Towards Abduction-based Ontology Matching”, accepted, 16th IEEE International Conference on Knowledge Graphs (ICKG 2025), November 13-14, 2025, Limassol, Cyprus.
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V.Kochliaridis, N. Chandrinos, G.Parlitsis, I.Vlahavas, Noise-Adaptive Driving Assistance Systems with Deep Reinforcement Learning Control Engineering Practise, Elsevier, 2025
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E. Skaperdas, N. Bassiliades, “Ontology-Aware Relation Prediction over EurostatKG: A Uni-fied Neural Framework”, Proc. 14th International Joint Conference on Knowledge Graphs (IJCKG 2025), Oct 15-17, 2025, Heraklion, Crete, Greece, LNAI 16297, Springer-Nature, pp. 78–94, 2026.
I. Gocev, G. Meditskos, N. Bassiliades, “Explaining Ontology Alignments via Abductive Graph Isomorphisms”, Proc. 14th International Joint Conference on Knowledge Graphs (IJCKG 2025), Oct 15-17, 2025, Heraklion, Crete, Greece, LNAI 16297, Springer-Nature, pp. 63–77, 2026
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I. Gocev, G. Meditskos, N. Bassiliades, “An Abduction-based Method for Explaining Non-entailments of Semantic Matching”, Semantic Web Journal, Volume 16, Issue 6, pp. 1-40, November 2025.
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V.Kochliaridis, I.Dilmperis, A.Palaskos, I.Vlahavas, Generative point sampling strategies forphysics‑informed neural networks, Engineering with Computers Journal, 2025
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D. Zaikis and I. Vlahavas, "TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction," in IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2024.3507738.
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Zaikis, D., Vlahavas, I. DACL+: domain-adapted contrastive learning for enhanced low-resource language representations in document clustering tasks. Neural Comput & Applic (2024). https://doi.org/10.1007/s00521-024-10589-1
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