Items where Author is "Kampouridis, Michail"
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Salman, Ozgur and Melissourgos, Themistoklis and Kampouridis, Michail (2026) A genetic algorithm for the optimization of multi-threshold trading strategies in the directional changes paradigm. Artificial Intelligence Review, 59 (1). DOI https://doi.org/10.1007/s10462-025-11419-z
Christodoulaki, Eva and Kampouridis, Michail and Kyropoulou, Maria (2025) A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading. Knowledge-Based Systems, 311. p. 113054. DOI https://doi.org/10.1016/j.knosys.2025.113054
Habbab, Fatim and Kampouridis, Michail and Papastylianou, Tasos (2025) Improving Real Estate Investment Trust (REITs) time-series prediction accuracy using Machine Learning and Technical Analysis indicators. Artificial Intelligence Review, 58 (3). p. 70. DOI https://doi.org/10.1007/s10462-024-11037-1
Gonzalez-Nunez, Enrique and Trejo, Luis A and Kampouridis, Michail (2024) Expanding a Machine Learning Class Towards its Application to the Stock Market Forecast. Applied Intelligence, 55 (1). DOI https://doi.org/10.1007/s10489-024-06018-4
González-Núñez, Enrique and Kampouridis, Michail and Trejo, Luis A (2024) A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data and Cognitive Computing, 8 (4). p. 34. DOI https://doi.org/10.3390/bdcc8040034
Habbab, Fatim Zahra and Kampouridis, Michail (2024) An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs. Expert Systems with Applications, 235. p. 121102. DOI https://doi.org/10.1016/j.eswa.2023.121102
Kampouridis, Michail and Evdokimov, Ivan and Papastylianou, Tasos (2023) Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. Procedia Computer Science, 222. pp. 529-538. DOI https://doi.org/10.1016/j.procs.2023.08.191
Salman, Ozgur and Melissourgos, Themistoklis and Kampouridis, Michail (2023) Optimization of Trading Strategies using a Genetic Algorithm under the Directional Changes Paradigm with Multiple Thresholds. In: IEEE Congress on Evolutionary Computation (CEC), 2023-07-01 - 2023-07-05, Chicago, USA. (In Press)
Long, Xinpeng and Kampouridis, Michail and Kanellopoulos, Panagiotis (2022) Genetic programming for combining directional changes indicators in international stock markets. In: Parallel Problem Solving from Nature (PPSN), 2022-09-10 - 2022-09-14, Dortmund, Germany.
Habbab, Fatim and Kampouridis, Michail and Voudouris, Alexandros (2022) Optimizing Mixed-Asset Portfolios Involving REITs. In: IEEE Symposium on Computational Intelligence for Financial Engineering & Economics (CIFEr) 2022, 2022-05-04 - 2022-05-05, Helsinki, Finland/Online. (In Press)
Christodoulaki, Eva and Kampouridis, Michail and Kanellopoulos, Panagiotis (2022) Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. In: IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), 2022-05-04 - 2022-05-05, Helsinki, Finland/Online. (In Press)
Adegboye, Adesola and Kampouridis, Michail and Otero, Fernando (2021) Improving trend reversal estimation in Forex markets under a directional changes paradigm with classification algorithms. International Journal of Intelligent Systems, 36 (12). pp. 7609-7640. DOI https://doi.org/10.1002/int.22601
Adegbgoye, Adesola and Kampouridis, Michail (2021) Machine Learning Classification and Regression Models for Predicting Directional Changes Trend Reversal in FX Markets. Expert Systems with Applications, 173. p. 114645. DOI https://doi.org/10.1016/j.eswa.2021.114645
