Michael Kampouridis
Orcid: 0000-0003-0047-7565
According to our database1,
Michael Kampouridis
authored at least 58 papers
between 2010 and 2024.
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Bibliography
2024
An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs.
Expert Syst. Appl., January, 2024
2023
High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Genetic and Evolutionary Computation Conference, 2023
Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
Genetic Programming for Combining Directional Changes Indicators in International Stock Markets.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022
Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022
Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms.
Int. J. Intell. Syst., 2021
Machine learning classification and regression models for predicting directional changes trend reversal in FX markets.
Expert Syst. Appl., 2021
2020
Genet. Program. Evolvable Mach., 2020
2019
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives.
Swarm Evol. Comput., 2019
2018
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives.
Appl. Soft Comput., 2018
2017
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm.
Soft Comput., 2017
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives.
Expert Syst. Appl., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017
2016
J. Ambient Intell. Smart Environ., 2016
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives.
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
A Comparative Study on the Use of Classification Algorithms in Financial Forecasting.
Proceedings of the Applications of Evolutionary Computation - 17th European Conference, 2014
Proceedings of the Genetic Programming - 17th European Conference, 2014
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014
Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Ann. Math. Artif. Intell., 2013
Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm.
Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013
Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming.
Proceedings of the Engineering Applications of Neural Networks, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
An initial investigation of choice function hyper-heuristics for the problem of financial forecasting.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013
2012
Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment.
Proceedings of the Natural Computing in Computational Finance - Volume 4, 2012
Int. J. Comput. Intell. Syst., 2012
Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
Computational intelligence in financial forecasting and agent-based modeling: applications of genetic programming and self-organizing maps.
PhD thesis, 2011
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework.
Proceedings of the Applications of Evolutionary Computation, 2011
Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets.
Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011
2010
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the Multi-Agent-Based Simulation XI - International Workshop, 2010
EDDIE for investment opportunities forecasting: Extending the search space of the GP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010