Takip et
Michael Kampouridis
Michael Kampouridis
Reader, School of Computer Science and Electronic Engineering, University of Essex
essex.ac.uk üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
2492017
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
702017
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
492020
EDDIE for investment opportunities forecasting: Extending the search space of the GP
M Kampouridis, E Tsang
IEEE Congress on Evolutionary Computation, 1-8, 2010
472010
Generating directional change based trading strategies with genetic programming
J Gypteau, FEB Otero, M Kampouridis
Applications of Evolutionary Computation: 18th European Conference …, 2015
43*2015
Machine Learning Classification and Regression Models for Predicting Directional Changes Trend Reversal in FX Markets
A Adegboye, M Kampouridis
Expert Systems with Applications, 2021
372021
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm
M Kampouridis, FEB Otero
Soft Computing 21, 295-310, 2017
322017
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
312018
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
312017
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
292013
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
272014
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
262015
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
262012
Algorithmic trading with directional changes
A Adegboye, M Kampouridis, F Otero
Artificial Intelligence Review, 2022
242022
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
202022
Microstructure dynamics and agent-based financial markets
SH Chen, M Kampouridis, E Tsang
Multi-Agent-Based Simulation XI: International Workshop, MABS 2010, Toronto …, 2011
202011
Stochastic Model Genetic Programming: Deriving Pricing Equations for Rainfall Weather Derivatives
S Cramer, M Kampouridis, AA Freitas, A Alexandridis
Swarm and Evolutionary Computation, 2019
192019
An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs
FZ Habbab, M Kampouridis
Expert Systems with Applications, 2023
182023
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
182017
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Makaleler 1–20