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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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Pierros, I., Kochliaridis, V., Apostolidou, E., Delimpasi, E., Zygouris, V., & Vlahavas, I. (2024, June). Predictive Maintenance Under Absence of Sensor Data. In IFIP International Conference on Artificial Intelligence Applications and Innovations (pp. 279-292). Cham: Springer Nature Switzerland.
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Kochliaridis, V., Pierros, I., Romanos, G., & Vlahavas, I. (2025). ViT $$^{2} $$-Pre-training Vision Transformers for Visual Times Series Forecasting. In International Conference on Pattern Recognition (pp. 217-231). Springer, Cham.
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Kochliaridis, V., Kostinoudis, E., & Vlahavas, I. (2024, September). Optimizing Pretrained Transformers for Autonomous Driving. In Proceedings of the 13th Hellenic Conference on Artificial Intelligence (pp. 1-9)
Nentidis, Α., 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., Paliouras, G. (2025) BioASQ at CLEF2025: The thirteenth edition of the large-scale biomedical semantic indexing and question answering challenge.
Zhou, A., Liu, B., Peng, Z., Wang, J., Tsoumakas, G. (2025) Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations. AAAI 2025.
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Tsakiris, Georgios & Gkalinikis, Nikolaos & Mischos, Stavros & Vrakas, Dimitrios. (2024). Unsupervised machine learning techniques for energy consumption tariff design. 1-10. 10.1145/3688671.3688790.
Georgios Tzanetis, Achilleas Toumpas, Zoe Vasileiou, Georgios Meditskos, Stefanos Vrochidis, and Ioannis Kompatsiaris, “Enhancing Health Risk Monitoring: An Explainable Human-Centric Approach Using Wearable Data and Sensor Integration”, Workshop on Explainable and Ethical AI jointly with ICPR’2024, 2024 (accepted for publication)
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