EDDIE for investment opportunities forecasting: Extending the search space of the GP. - Michael Kampouridis; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2010)

Microstructure Dynamics and Agent-Based Financial Markets. - Shu-Heng Chen; Michael Kampouridis; Edward P. K. Tsang (MABS, 2010)

Testing the Dinosaur Hypothesis under Empirical Datasets. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (PPSN (2), 2010)

Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (CIFEr, 2011)

Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (EvoApplications (2), 2011)

Using Hyperheuristics under a GP Framework for Financial Forecasting. - Michael Kampouridis; Edward P. K. Tsang (LION, 2011)

Computational intelligence in financial forecasting and agent-based modeling: applications of genetic programming and self-organizing maps. - Michael Kampouridis (2011)

Off-line parameter tuning for Guided Local Search using Genetic Programming. - Abdullah Alsheddy; Michael Kampouridis (IEEE Congress on Evolutionary Computation, 2012)

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 (IEEE Congress on Evolutionary Computation, 2012)

Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. - Michael Kampouridis; Edward P. K. Tsang (Int. J. Comput. Intell. Syst., 2012)

Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment. - Michael Kampouridis; Shu-Heng Chen; Edward P. K. Tsang (Natural Computing in Computational Finance (4), 2012)

An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. - Michael Kampouridis (IEEE Congress on Evolutionary Computation, 2013)

A GP approach for price-speed optimizing negotiation. - Michael Kampouridis; Kwang Mong Sim 001 (IEEE Congress on Evolutionary Computation, 2013)

Metaheuristics application on a financial forecasting problem. - Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (IEEE Congress on Evolutionary Computation, 2013)

Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming. - Antonios K. Alexandridis; Michael Kampouridis (EANN (1), 2013)

Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm. - Michael Kampouridis; Fernando E. B. Otero (TAAI, 2013)

On the investigation of hyper-heuristics on a financial forecasting problem. - Michael Kampouridis; Abdullah Alsheddy; Edward P. K. Tsang (Ann. Math. Artif. Intell., 2013)

Transformation of input space using statistical moments: EA-based approach. - Ahmed Kattan; Michael Kampouridis; Yew-Soon Ong; Khalid Mehamdi (IEEE Congress on Evolutionary Computation, 2014)

Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. - Babatunde Aluko; Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (CIFEr, 2014)

Guided Fast Local Search for speeding up a financial forecasting algorithm. - Ming Shao; Dafni Smonou; Michael Kampouridis; Edward P. K. Tsang (CIFEr, 2014)

Generalisation Enhancement via Input Space Transformation: A GP Approach. - Ahmed Kattan; Michael Kampouridis; Alexandros Agapitos (EuroGP, 2014)

A Comparative Study on the Use of Classification Algorithms in Financial Forecasting. - Fernando E. B. Otero; Michael Kampouridis (EvoApplications, 2014)

Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. - James Brookhouse; Fernando E. B. Otero; Michael Kampouridis (GECCO (Companion), 2014)

Optimising the deployment of fibre optics using Guided Local Search. - Sam Cramer; Michael Kampouridis (CEC, 2015)

Generating Directional Change Based Trading Strategies with Genetic Programming. - Jeremie Gypteau; Fernando E. B. Otero; Michael Kampouridis (EvoApplications, 2015)

Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas; Antonis Alexandridis 002 (SSCI, 2015)

Feature engineering for improving financial derivatives-based rainfall prediction. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas (CEC, 2016)

A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas (GECCO, 2016)

Foreword: special issue on computational finance and economics. - Anthony Brabazon; Michael Kampouridis (Evol. Intell., 2016)

A user behaviour-driven smart-home gateway for energy management. - Nikolaos Vastardis; Michael Kampouridis; Kun Yang 001 (J. Ambient Intell. Smart Environ., 2016)

Pricing Rainfall Based Futures Using Genetic Programming. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas; Antonis K. Alexandridis (EvoApplications (1), 2017)

Evolving Directional Changes Trading Strategies with a New Event-Based Indicator. - Michael Kampouridis; Adesola Adegboye; Colin G. Johnson (SEAL, 2017)

Regression genetic programming for estimating trend end in foreign exchange market. - Adesola Adegboye; Michael Kampouridis; Colin G. Johnson (SSCI, 2017)

An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas; Antonis K. Alexandridis (Expert Syst. Appl., 2017)

Evolving trading strategies using directional changes. - Michael Kampouridis; Fernando E. B. Otero (Expert Syst. Appl., 2017)

Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. - Michael Kampouridis; Fernando E. B. Otero (Soft Comput., 2017)

Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas (Appl. Soft Comput., 2018)

Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. - Sam Cramer; Michael Kampouridis; Alex Alves Freitas; Antonis Alexandridis 002 (Swarm Evol. Comput., 2019)

Applications of genetic programming to finance and economics: past, present, future. - Anthony Brabazon; Michael Kampouridis; Michael O'Neill 001 (Genet. Program. Evolvable Mach., 2020)

Machine learning classification and regression models for predicting directional changes trend reversal in FX markets. - Adesola Adegboye; Michael Kampouridis (Expert Syst. Appl., 2021)

Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. - Adesola Adegboye; Michael Kampouridis; Fernando E. B. Otero (Int. J. Intell. Syst., 2021)

U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. - Eva Christodoulaki; Michael Kampouridis (CEC, 2022)

Optimizing Mixed-Asset Portfolios With Real Estate: Why Price Predictions? - Fatim Z. Habbab; Michael Kampouridis (CEC, 2022)

An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem. - Xinpeng Long; Michael Kampouridis; Delaram Jarchi (CEC, 2022)

Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. - Ozgur Salman; Michael Kampouridis; Delaram Jarchi (CEC, 2022)

Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. - Eva Christodoulaki; Michael Kampouridis; Panagiotis Kanellopoulos (CIFEr, 2022)

Optimizing Mixed-Asset Portfolios Involving REITs. - Fatim Z. Habbab; Michael Kampouridis; Alexandros A. Voudouris (CIFEr, 2022)

Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. - Xinpeng Long; Michael Kampouridis; Panagiotis Kanellopoulos (PPSN (2), 2022)

Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm. - Eva Christodoulaki; Michael Kampouridis (UKCI, 2022)

Machine Learning for Real Estate Time Series Prediction. - Fatim Z. Habbab; Michael Kampouridis (UKCI, 2022)

Multi-agent systems for computational economics and finance. - Michael Kampouridis; Panagiotis Kanellopoulos; Maria Kyropoulou; Themistoklis Melissourgos; Alexandros A. Voudouris (AI Commun., 2022)

Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. - Xinpeng Long; Michael Kampouridis; Panagiotis Kanellopoulos (CEC, 2023)

Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. - Ozgur Salman; Themistoklis Melissourgos; Michael Kampouridis (CEC, 2023)

Enhanced Strongly typed Genetic Programming for Algorithmic Trading. - Evangelia Christodoulaki; Michael Kampouridis; Maria Kyropoulou (GECCO, 2023)

Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. - Fatim Z. Habbab; Michael Kampouridis; Tasos Papastylianou (IJCNN, 2023)

Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. - Ivan Evdokimov; Michael Kampouridis; Tasos Papastylianou (INNS DLIA@IJCNN, 2023)

Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. - Eva Christodoulaki; Michael Kampouridis (SSCI, 2023)

High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. - George Rayment; Michael Kampouridis (SSCI, 2023)

Algorithmic trading with directional changes. - Adesola Adegboye; Michael Kampouridis; Fernando E. B. Otero (Artif. Intell. Rev., 2023)

α-dominance two-objective Optimization Genetic Programming for Algorithmic Trading under a Directional Changes Environment. - Xinpeng Long; Michael Kampouridis (CIFEr, 2024)

Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm. - George Rayment; Michael Kampouridis (ICMLA, 2024)

Using machine learning for fault detection in lighthouse light sensors. - Michael Kampouridis; Nikolaos Vastardis; George Rayment (CoRR, 2024)

An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs. - Fatim Z. Habbab; Michael Kampouridis (Expert Syst. Appl., 2024)

A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. - Enrique González-Núñez; Luis A. Trejo; Michael Kampouridis (Big Data Cogn. Comput., 2024)

An In-Depth Investigation of Genetic Programming Under Physical Time and Directional Change Frameworks for Algorithmic Trading. - Xinpeng Long; Michael Kampouridis; Panagiotis Kanellopoulos (IEEE Access, 2025)

A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading. - Eva Christodoulaki; Michael Kampouridis; Maria Kyropoulou (Knowl. Based Syst., 2025)

Expanding a machine learning class towards its application to the stock market forecast. - Enrique González-Núñez; Luis A. Trejo; Michael Kampouridis (Appl. Intell., 2025)

Improving Real Estate Investment Trusts (REITs) time-series prediction accuracy using machine learning and technical analysis indicators. - Fatim Z. Habbab; Michael Kampouridis; Tasos Papastylianou (Artif. Intell. Rev., 2025)