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Michael Kampouridis
Michael Kampouridis
Reader, School of Computer Science and Electronic Engineering, University of Essex
Verified email at essex.ac.uk - Homepage
Title
Cited by
Cited by
Year
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
2222017
Applications of evolutionary computation
G Squillero, P Burelli
Springer, 2016
1082016
Evolving trading strategies using directional changes
M Kampouridis, FEB Otero
Expert Systems with Applications 73, 145-160, 2017
652017
EDDIE for investment opportunities forecasting: Extending the search space of the GP
M Kampouridis, E Tsang
IEEE Congress on Evolutionary Computation, 1-8, 2010
482010
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
392020
Machine Learning Classification and Regression Models for Predicting Directional Changes Trend Reversal in FX Markets
A Adegboye, M Kampouridis
Expert Systems with Applications, 2021
322021
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
322017
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm
M Kampouridis, FEB Otero
Soft Computing 21, 295-310, 2017
292017
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
282018
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
262013
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
252012
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
242015
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
222014
Microstructure dynamics and agent-based financial markets
SH Chen, M Kampouridis, E Tsang
Multi-Agent-Based Simulation XI: International Workshop, MABS 2010, Toronto …, 2011
192011
Stochastic Model Genetic Programming: Deriving Pricing Equations for Rainfall Weather Derivatives
S Cramer, M Kampouridis, AA Freitas, A Alexandridis
Swarm and Evolutionary Computation, 2019
172019
Market fraction hypothesis: A proposed test
M Kampouridis, SH Chen, E Tsang
International Review of Financial Analysis 23, 41-54, 2012
172012
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
162017
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
152022
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
152021
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