Eleftherios Kouloumpris

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Load Forecasting

Top Venues

Publications

Eleftherios Kouloumpris, Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas
Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. Int. J. Artif. Intell. Tools 33 (1) (2024)
Eleftherios Kouloumpris, Konstantinos Moutsianas, Ioannis P. Vlahavas
SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management. Expert Syst. Appl. 249 (2024)
Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
Combining deep reinforcement learning with technical analysis and trend monitoring on cryptocurrency markets. Neural Comput. Appl. 35 (29) (2023)
Ioannis Almalis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
Sector-level sentiment analysis with deep learning. Knowl. Based Syst. 258 (2022)
Vasilis Kochliaridis, Eleftherios Kouloumpris, Ioannis P. Vlahavas
TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. AIAI (1) (2022)
Eleftherios Kouloumpris, Athina Konstantinou, Stamatis Karlos, Grigorios Tsoumakas, Ioannis P. Vlahavas
Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity. SETN (2022)
Ioannis P. Pierros, Eleftherios Kouloumpris, Dimitrios Zaikis, Ioannis P. Vlahavas
Retail Demand Forecasting for 1 Million Products. ISDA (1) (2022)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles. DEXA Workshops (2021)
Argyrios Vartholomaios, Stamatis Karlos, Eleftherios Kouloumpris, Grigorios Tsoumakas
Short-term Renewable Energy Forecasting in Greece using Prophet Decomposition and Tree-based Ensembles. CoRR (2021)