| An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives S Cramer, M Kampouridis, AA Freitas, AK Alexandridis Expert Systems with Applications 85, 169-181, 2017 | 222 | 2017 |
| Applications of evolutionary computation G Squillero, P Burelli Springer, 2016 | 108 | 2016 |
| Evolving trading strategies using directional changes M Kampouridis, FEB Otero Expert Systems with Applications 73, 145-160, 2017 | 65 | 2017 |
| EDDIE for investment opportunities forecasting: Extending the search space of the GP M Kampouridis, E Tsang IEEE Congress on Evolutionary Computation, 1-8, 2010 | 48 | 2010 |
| Generating directional change based trading strategies with genetic programming J Gypteau, FEB Otero, M Kampouridis Applications of Evolutionary Computation: 18th European Conference …, 2015 | 40* | 2015 |
| Applications of genetic programming to finance and economics: past, present, future A Brabazon, M Kampouridis, M O’Neill Genetic Programming and Evolvable Machines 21, 33-53, 2020 | 39 | 2020 |
| Machine Learning Classification and Regression Models for Predicting Directional Changes Trend Reversal in FX Markets A Adegboye, M Kampouridis Expert Systems with Applications, 2021 | 32 | 2021 |
| A comparison of wavelet networks and genetic programming in the context of temperature derivatives AK Alexandridis, M Kampouridis, S Cramer International Journal of Forecasting 33 (1), 21-47, 2017 | 32 | 2017 |
| Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm M Kampouridis, FEB Otero Soft Computing 21, 295-310, 2017 | 29 | 2017 |
| Decomposition Genetic Programming: An Extensive Evaluation on Rainfall Prediction in the Context of Weather Derivatives S Cramer, M Kampouridis, AA Freitas Applied Soft Computing, 2018 | 28 | 2018 |
| On the investigation of hyper-heuristics on a financial forecasting problem M Kampouridis, A Alsheddy, E Tsang Annals of Mathematics and Artificial Intelligence 68, 225-246, 2013 | 26 | 2013 |
| Investment opportunities forecasting: Extending the grammar of a gp-based tool M Kampouridis, E Tsang International Journal of Computational Intelligence Systems 5 (3), 530-541, 2012 | 25 | 2012 |
| Predicting rainfall in the context of rainfall derivatives using genetic programming S Cramer, M Kampouridis, AA Freitas, A Alexandridis 2015 ieee symposium series on computational intelligence, 711-718, 2015 | 24 | 2015 |
| Working with opencl to speed up a genetic programming financial forecasting algorithm: Initial results J Brookhouse, FEB Otero, M Kampouridis Proceedings of the companion publication of the 2014 annual conference on …, 2014 | 22 | 2014 |
| Microstructure dynamics and agent-based financial markets SH Chen, M Kampouridis, E Tsang Multi-Agent-Based Simulation XI: International Workshop, MABS 2010, Toronto …, 2011 | 19 | 2011 |
| Stochastic Model Genetic Programming: Deriving Pricing Equations for Rainfall Weather Derivatives S Cramer, M Kampouridis, AA Freitas, A Alexandridis Swarm and Evolutionary Computation, 2019 | 17 | 2019 |
| Market fraction hypothesis: A proposed test M Kampouridis, SH Chen, E Tsang International Review of Financial Analysis 23, 41-54, 2012 | 17 | 2012 |
| Regression genetic programming for estimating trend end in foreign exchange market A Adegboye, M Kampouridis, CG Johnson 2017 IEEE symposium series on computational intelligence (SSCI), 1-8, 2017 | 16 | 2017 |
| Technical and sentiment analysis in financial forecasting with genetic programming E Christodoulaki, M Kampouridis, P Kanellopoulos IEEE Computational Intelligence in Financial Engineering and Risk (CIFEr), 2022 | 15 | 2022 |
| Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms A Adegboye, M Kampouridis, F Otero International Journal of Intelligent Systems 36 (12), 7609-7640, 2021 | 15 | 2021 |
Edward TsangUniversity of Essex在 essex.ac.uk 的电子邮件经过验证
