Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. - Argyrios S. Vartholomaios; Stamatis Karlos; Eleftherios Kouloumpris; Grigorios Tsoumakas (DEXA Workshops, 2021)

TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (AIAI (1), 2022)

Retail Demand Forecasting for 1 Million Products. - Ioannis P. Pierros; Eleftherios Kouloumpris; Dimitrios Zaikis; Ioannis P. Vlahavas (ISDA (1), 2022)

Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. - Eleftherios Kouloumpris; Athina Konstantinou; Stamatis Karlos; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2022)

Sector-level sentiment analysis with deep learning. - Ioannis Almalis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (Knowl. Based Syst., 2022)

Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. - Vasilis Kochliaridis; Eleftherios Kouloumpris; Ioannis P. Vlahavas (Neural Comput. Appl., 2023)

SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. - Eleftherios Kouloumpris; Konstantinos Moutsianas; Ioannis P. Vlahavas (Expert Syst. Appl., 2024)

Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. - Eleftherios Kouloumpris; Aristotelis Lazaridis; Anestis Fachantidis; Ioannis P. Vlahavas (Int. J. Artif. Intell. Tools, 2024)

Markowitz random forest: Weighting classification and regression trees with modern portfolio theory. - Eleftherios Kouloumpris; Ioannis P. Vlahavas (Neurocomputing, 2025)