Michael Kampouridis

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Venues

University of Essex, Colchester, UK (PHD)

Education History

University of Essex, Colchester, UK

PHD

Publications

Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data Cogn. Comput. 8 (4) (2024)
Fatim Z. Habbab, Michael Kampouridis
An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs. Expert Syst. Appl. 235 (2024)
Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou
Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. IJCNN (2023)
Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis
Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. CEC (2023)
George Rayment, Michael Kampouridis
High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. SSCI (2023)
Eva Christodoulaki, Michael Kampouridis
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. SSCI (2023)
Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero
Algorithmic trading with directional changes. Artif. Intell. Rev. 56 (6) (2023)
Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. CEC (2023)
Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. INNS DLIA@IJCNN (2023)
Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou
Enhanced Strongly typed Genetic Programming for Algorithmic Trading. GECCO (2023)
Eva Christodoulaki, Michael Kampouridis
Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm. UKCI (2022)
Fatim Z. Habbab, Michael Kampouridis
Machine Learning for Real Estate Time Series Prediction. UKCI (2022)
Fatim Z. Habbab, Michael Kampouridis
Optimizing Mixed-Asset Portfolios With Real Estate: Why Price Predictions? CEC (2022)
Eva Christodoulaki, Michael Kampouridis
U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. CEC (2022)
Xinpeng Long, Michael Kampouridis, Delaram Jarchi
An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem. CEC (2022)
Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris
Multi-agent systems for computational economics and finance. AI Commun. 35 (4) (2022)
Fatim Z. Habbab, Michael Kampouridis, Alexandros A. Voudouris
Optimizing Mixed-Asset Portfolios Involving REITs. CIFEr (2022)
Eva Christodoulaki, Michael Kampouridis, Panagiotis Kanellopoulos
Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. CIFEr (2022)
Ozgur Salman, Michael Kampouridis, Delaram Jarchi
Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. CEC (2022)
Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris
Multi-Agent Systems for Computational Economics and Finance. CoRR (2022)
Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. PPSN (2) (2022)
Adesola Adegboye, Michael Kampouridis
Machine learning classification and regression models for predicting directional changes trend reversal in FX markets. Expert Syst. Appl. 173 (2021)
Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero
Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. Int. J. Intell. Syst. 36 (12) (2021)
Anthony Brabazon, Michael Kampouridis, Michael O'Neill
Applications of genetic programming to finance and economics: past, present, future. Genet. Program. Evolvable Mach. 21 (1-2) (2020)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. 46 (2019)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas
Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Appl. Soft Comput. 70 (2018)
Michael Kampouridis, Fernando E. B. Otero
Evolving trading strategies using directional changes. Expert Syst. Appl. 73 (2017)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Syst. Appl. 85 (2017)
Michael Kampouridis, Adesola Adegboye, Colin G. Johnson
Evolving Directional Changes Trading Strategies with a New Event-Based Indicator. SEAL (2017)
Adesola Adegboye, Michael Kampouridis, Colin G. Johnson
Regression genetic programming for estimating trend end in foreign exchange market. SSCI (2017)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) (2017)
Michael Kampouridis, Fernando E. B. Otero
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. Soft Comput. 21 (2) (2017)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas
Feature engineering for improving financial derivatives-based rainfall prediction. CEC (2016)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO (2016)
Anthony Brabazon, Michael Kampouridis
Foreword: special issue on computational finance and economics. Evol. Intell. 9 (4) (2016)
Nikolaos Vastardis, Michael Kampouridis, Kun Yang
A user behaviour-driven smart-home gateway for energy management. J. Ambient Intell. Smart Environ. 8 (6) (2016)
Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI (2015)
Sam Cramer, Michael Kampouridis
Optimising the deployment of fibre optics using Guided Local Search. CEC (2015)
Jeremie Gypteau, Fernando E. B. Otero, Michael Kampouridis
Generating Directional Change Based Trading Strategies with Genetic Programming. EvoApplications (2015)
Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos
Generalisation Enhancement via Input Space Transformation: A GP Approach. EuroGP (2014)
Babatunde Aluko, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. CIFEr (2014)
James Brookhouse, Fernando E. B. Otero, Michael Kampouridis
Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. GECCO (Companion) (2014)
Fernando E. B. Otero, Michael Kampouridis
A Comparative Study on the Use of Classification Algorithms in Financial Forecasting. EvoApplications (2014)
Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi
Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation (2014)
Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr (2014)
Michael Kampouridis, Kwang Mong Sim
A GP approach for price-speed optimizing negotiation. IEEE Congress on Evolutionary Computation (2013)
Michael Kampouridis
An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. IEEE Congress on Evolutionary Computation (2013)
Michael Kampouridis, Fernando E. B. Otero
Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm. TAAI (2013)
Michael Kampouridis, Abdullah Alsheddy, Edward P. K. Tsang
On the investigation of hyper-heuristics on a financial forecasting problem. Ann. Math. Artif. Intell. 68 (4) (2013)
Antonios K. Alexandridis, Michael Kampouridis
Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming. EANN (1) (2013)
Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
Metaheuristics application on a financial forecasting problem. IEEE Congress on Evolutionary Computation (2013)
Michael Kampouridis, Edward P. K. Tsang
Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. Int. J. Comput. Intell. Syst. 5 (3) (2012)
Abdullah Alsheddy, Michael Kampouridis
Off-line parameter tuning for Guided Local Search using Genetic Programming. IEEE Congress on Evolutionary Computation (2012)
Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang
Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. IEEE Congress on Evolutionary Computation (2012)
Michael Kampouridis, Edward P. K. Tsang
Using Hyperheuristics under a GP Framework for Financial Forecasting. LION (2011)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. CIFEr (2011)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework. EvoApplications (2) (2011)
Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
Testing the Dinosaur Hypothesis under Empirical Datasets. PPSN (2) (2010)
Michael Kampouridis, Edward P. K. Tsang
EDDIE for investment opportunities forecasting: Extending the search space of the GP. IEEE Congress on Evolutionary Computation (2010)
Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang
Microstructure Dynamics and Agent-Based Financial Markets. MABS (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Kampouridis