School of Informatics AUTh
E. Kouloumpris, K. Moutsianas, and I. Vlahavas. “SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management”. Expert Systems with Applications, Vol. 249, Part B, no. 1, p. 123637. issn: 0957-4174., 2024, DOI: https://doi.org/10.1016/j.eswa.2024.123637
Vasileios Kochliaridis, Anastasia Papadopoulou, Ioannis Vlahavas, "UNSURE - A Machine Learning Approach to Cryptocurrency Trading", Accepted in Applied Intelligence, Springer, 2024
E. Kouloumpris, A. Lazaridis, A. Fachantidis, and I. Vlahavas. “Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data”. International Journal on Artificial Intelligence Tools, Vol. 33, no. 1, p. 2350059. issn: 1793-6349., 2024, DOI: https://doi.org/10.1142/S0218213023500598
Dimitriadis, D., Tsoumakas, G. (2023) Enhancing Yes/No Question Answering with Weak Supervision via Extractive Question Answering, Applied Intelligence 53(22)
Gidiotis, A., Tsoumakas, G. (2023) Bayesian Active Summarization. Computer Speech & Language, Vol. 83, pages 101553
Kamtziridis, G., Vrakas, D. & Tsoumakas, G. Does noise affect housing prices? A case study in the urban area of Thessaloniki. EPJ Data Sci. 12, 50 (2023). https://doi.org/10.1140/epjds/s13688-023-00424-3
Dimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos, and Ioannis Vlahavas. “Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments.” In: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto, Canada: Association for Computational Linguistics, 2023, pp. 1037–1043. doi: 10.18653/v1/2023.semeval-1.142. url: https://aclanthology.org/2023.semeval-1.142
Dimitrios Zaikis and Ioannis Vlahavas. “From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning.” In: IEEE Access 11 (Oct. 2023). IF: 3.9, pp. 115951–115967. doi: 10.1109/ACCESS.2023.3326337. url: https://ieeexplore.ieee.org/document/10288436.
Dimitrios Zaikis, Nikolaos Stylianou, and Ioannis Vlahavas. “PIMA: Parameter-Shared Intelligent Media Analytics Framework for Low Resource Languages.” In: Applied Sciences 13.5 (Mar. 2023). IF: 2.7, p. 3265. issn: 2076-3417. doi: 10.3390/app13053265. url: https://www.mdpi.com/2076-3417/13/5/3265.
B. Liu, J. Wang, K. Sun, G. Tsoumakas (2023), Fine-grained selective similarity integration for drug–target interaction prediction, Briefings in Bioinformatics