| 2024 | ICMLA | Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm. | George Rayment, Michael Kampouridis |
| 2023 | CEC | Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. | Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos |
| 2023 | CEC | Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. | Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis |
| 2023 | GECCO | Enhanced Strongly typed Genetic Programming for Algorithmic Trading. | Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou |
| 2023 | IJCNN | Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. | Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou |
| 2022 | CEC | U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. | Eva Christodoulaki, Michael Kampouridis |
| 2022 | CEC | Optimizing Mixed-Asset Portfolios With Real Estate: Why Price Predictions? | Fatim Z. Habbab, Michael Kampouridis |
| 2022 | CEC | An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem. | Xinpeng Long, Michael Kampouridis, Delaram Jarchi |
| 2022 | CEC | Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. | Ozgur Salman, Michael Kampouridis, Delaram Jarchi |
| 2022 | PPSN | Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. | Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos |
| 2016 | CEC | Feature engineering for improving financial derivatives-based rainfall prediction. | Sam Cramer, Michael Kampouridis, Alex Alves Freitas |
| 2016 | GECCO | A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. | Sam Cramer, Michael Kampouridis, Alex Alves Freitas |
| 2015 | CEC | Optimising the deployment of fibre optics using Guided Local Search. | Sam Cramer, Michael Kampouridis |
| 2014 | CEC | Transformation of input space using statistical moments: EA-based approach. | Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi |
| 2014 | EUROGP | Generalisation Enhancement via Input Space Transformation: A GP Approach. | Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos |
| 2014 | GECCO | Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. | James Brookhouse, Fernando E. B. Otero, Michael Kampouridis |
| 2013 | CEC | An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. | Michael Kampouridis |
| 2013 | CEC | A GP approach for price-speed optimizing negotiation. | Michael Kampouridis, Kwang Mong Sim |
| 2013 | CEC | Metaheuristics application on a financial forecasting problem. | Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang |
| 2013 | EANN | Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming. | Antonios K. Alexandridis, Michael Kampouridis |
| 2012 | CEC | Off-line parameter tuning for Guided Local Search using Genetic Programming. | Abdullah Alsheddy, Michael Kampouridis |
| 2012 | CEC | Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. | Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang |
| 2010 | CEC | EDDIE for investment opportunities forecasting: Extending the search space of the GP. | Michael Kampouridis, Edward P. K. Tsang |
| 2010 | MABS | Microstructure Dynamics and Agent-Based Financial Markets. | Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang |
| 2010 | PPSN | Testing the Dinosaur Hypothesis under Empirical Datasets. | Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang |