Kouloumpris Eleftherios

Department of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki – Greece

Tel: +30 2310 998402
E-mail: elefthenk@csd.auth.gr

Short CV

Eleftherios Kouloumpris received his BSc (Information Systems) and MSc (Knowledge, Data and Software Technologies) from the Informatics Department of the Aristotle University of Thessaloniki (AUTH). Currently, he is a PhD Candidate at the Intelligent Systems Lab of AUTH, and his research focuses on the analysis of financial data with machine learning. Also, he has worked as a data scientist since 2017 for the Intelligent Systems Lab, and has participated in several research projects and scientific publications.

Publications

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

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

E. Kouloumpris, A. Konstantinou, S. Karlos, G. Tsoumakas, and I. Vlahavas, “Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity”, In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN ’22), Corfu, Greece, 7-9 Sep 2022, Article 42, pp. 1–10, Association for Computing Machinery, 2022, DOI: https://doi.org/10.1145/3549737.3549783

V. Kochliaridis, E. Kouloumpris, and I. Vlahavas. “TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning”. IFIP International Conference on Artificial Intelligence Applications and Innovations. Springer, pp. 304–315, 2022, DOI: https://doi.org/10.1007/978-3-031-08333-4_25

I. Almalis, E. Kouloumpris, and I. Vlahavas. “Sector-level sentiment analysis with deep learning”. Knowledge-Based Systems, p. 109954. issn: 0950-7051., 2022, DOI: https://doi.org/10.1016/j.knosys.2022.109954.

Pandria N., Petronikolou V., Lazaridis A., Karapiperis C., Kouloumpris E., Spachos D., Fachantidis A., Vasileiou D., Vlahavas I., Bamidis P., “Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study”, JMIR Research Protocols, JMIR Publications, 2022, https://doi.org/10.2196/40189.