Michael Kampouridis

72 papers A 2B 19C 2Journal 25Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A genetic algorithm for the optimization of multi-threshold trading strategies in the directional changes paradigm. Artif. Intell. Rev. Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis
2026	J	`jnl`	Multi-objective genetic programming-based algorithmic trading, using directional changes and a modified sharpe ratio score for identifying optimal trading strategies. Artif. Intell. Rev. Xinpeng Long, Michael Kampouridis, Tasos Papastylianou
2026	J	`jnl`	On the Role of Encoder Depth: Pruning Whisper and LoRA Fine-Tuning in SLAM-ASR. CoRR Ganesh Pavan Kartikeya Bharadwaj Kolluri, Michael Kampouridis, Ravi Shekhar
2025	J	`jnl`	A novel strongly-typed Genetic Programming algorithm for combining sentiment and technical analysis for algorithmic trading. Knowl. Based Syst. Eva Christodoulaki, Michael Kampouridis, Maria Kyropoulou
2025	J	`jnl`	An In-Depth Investigation of Genetic Programming Under Physical Time and Directional Change Frameworks for Algorithmic Trading. IEEE Access Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
2025	J	`jnl`	Expanding a machine learning class towards its application to the stock market forecast. Appl. Intell. Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
2025	J	`jnl`	Improving Real Estate Investment Trusts (REITs) time-series prediction accuracy using machine learning and technical analysis indicators. Artif. Intell. Rev. Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou
2024	J	`jnl`	A Comparative Study for Stock Market Forecast Based on a New Machine Learning Model. Big Data Cogn. Comput. Enrique González-Núñez, Luis A. Trejo, Michael Kampouridis
2024	J	`jnl`	An in-depth investigation of five machine learning algorithms for optimizing mixed-asset portfolios including REITs. Expert Syst. Appl. Fatim Z. Habbab, Michael Kampouridis
2024	C	`conf`	Enhancing High-Frequency Trading with Deep Reinforcement Learning Using Advanced Positional Awareness Under a Directional Changes Paradigm. ICMLA George Rayment, Michael Kampouridis
2024	J	`jnl`	Using machine learning for fault detection in lighthouse light sensors. CoRR Michael Kampouridis, Nikolaos Vastardis, George Rayment
2024	—	`conf`	α-dominance two-objective Optimization Genetic Programming for Algorithmic Trading under a Directional Changes Environment. CIFEr Xinpeng Long, Michael Kampouridis
2023	J	`jnl`	Algorithmic trading with directional changes. Artif. Intell. Rev. Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero
2023	—	`conf`	Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. INNS DLIA@IJCNN Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou
2023	A	`conf`	Enhanced Strongly typed Genetic Programming for Algorithmic Trading. GECCO Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou
2023	—	`conf`	Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. SSCI Eva Christodoulaki, Michael Kampouridis
2023	—	`conf`	High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. SSCI George Rayment, Michael Kampouridis
2023	B	`conf`	Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. IJCNN Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou
2023	B	`conf`	Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. CEC Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
2023	B	`conf`	Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. CEC Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis
2022	B	`conf`	An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem. CEC Xinpeng Long, Michael Kampouridis, Delaram Jarchi
2022	—	`conf`	Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm. UKCI Eva Christodoulaki, Michael Kampouridis
2022	—	`conf`	Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. PPSN (2) Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos
2022	—	`conf`	Machine Learning for Real Estate Time Series Prediction. UKCI Fatim Z. Habbab, Michael Kampouridis
2022	J	`jnl`	Multi-Agent Systems for Computational Economics and Finance. CoRR Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris
2022	J	`jnl`	Multi-agent systems for computational economics and finance. AI Commun. Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris
2022	—	`conf`	Optimizing Mixed-Asset Portfolios Involving REITs. CIFEr Fatim Z. Habbab, Michael Kampouridis, Alexandros A. Voudouris
2022	B	`conf`	Optimizing Mixed-Asset Portfolios With Real Estate: Why Price Predictions? CEC Fatim Z. Habbab, Michael Kampouridis
2022	—	`conf`	Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. CIFEr Eva Christodoulaki, Michael Kampouridis, Panagiotis Kanellopoulos
2022	B	`conf`	Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. CEC Ozgur Salman, Michael Kampouridis, Delaram Jarchi
2022	B	`conf`	U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. CEC Eva Christodoulaki, Michael Kampouridis
2021	J	`jnl`	Improving trend reversal estimation in forex markets under a directional changes paradigm with classification algorithms. Int. J. Intell. Syst. Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero
2021	J	`jnl`	Machine learning classification and regression models for predicting directional changes trend reversal in FX markets. Expert Syst. Appl. Adesola Adegboye, Michael Kampouridis
2020	J	`jnl`	Applications of genetic programming to finance and economics: past, present, future. Genet. Program. Evolvable Mach. Anthony Brabazon, Michael Kampouridis, Michael O'Neill
2019	J	`jnl`	Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
2018	J	`jnl`	Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Appl. Soft Comput. Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2017	J	`jnl`	An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Syst. Appl. Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
2017	—	`conf`	Evolving Directional Changes Trading Strategies with a New Event-Based Indicator. SEAL Michael Kampouridis, Adesola Adegboye, Colin G. Johnson
2017	J	`jnl`	Evolving trading strategies using directional changes. Expert Syst. Appl. Michael Kampouridis, Fernando E. B. Otero
2017	J	`jnl`	Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. Soft Comput. Michael Kampouridis, Fernando E. B. Otero
2017	—	`conf`	Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis
2017	—	`conf`	Regression genetic programming for estimating trend end in foreign exchange market. SSCI Adesola Adegboye, Michael Kampouridis, Colin G. Johnson
2016	A	`conf`	A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2016	J	`jnl`	A user behaviour-driven smart-home gateway for energy management. J. Ambient Intell. Smart Environ. Nikolaos Vastardis, Michael Kampouridis, Kun Yang
2016	B	`conf`	Feature engineering for improving financial derivatives-based rainfall prediction. CEC Sam Cramer, Michael Kampouridis, Alex Alves Freitas
2016	J	`jnl`	Foreword: special issue on computational finance and economics. Evol. Intell. Anthony Brabazon, Michael Kampouridis
2015	B	`conf`	Generating Directional Change Based Trading Strategies with Genetic Programming. EvoApplications Jeremie Gypteau, Fernando E. B. Otero, Michael Kampouridis
2015	B	`conf`	Optimising the deployment of fibre optics using Guided Local Search. CEC Sam Cramer, Michael Kampouridis
2015	—	`conf`	Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis
2014	B	`conf`	A Comparative Study on the Use of Classification Algorithms in Financial Forecasting. EvoApplications Fernando E. B. Otero, Michael Kampouridis
2014	—	`conf`	Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. CIFEr Babatunde Aluko, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2014	B	`conf`	Generalisation Enhancement via Input Space Transformation: A GP Approach. EuroGP Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos
2014	—	`conf`	Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2014	B	`conf`	Transformation of input space using statistical moments: EA-based approach. IEEE Congress on Evolutionary Computation Ahmed Kattan, Michael Kampouridis, Yew-Soon Ong, Khalid Mehamdi
2014	—	`conf`	Working with OpenCL to speed up a genetic programming financial forecasting algorithm: initial results. GECCO (Companion) James Brookhouse, Fernando E. B. Otero, Michael Kampouridis
2013	B	`conf`	A GP approach for price-speed optimizing negotiation. IEEE Congress on Evolutionary Computation Michael Kampouridis, Kwang Mong Sim
2013	B	`conf`	An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. IEEE Congress on Evolutionary Computation Michael Kampouridis
2013	B	`conf`	Metaheuristics application on a financial forecasting problem. IEEE Congress on Evolutionary Computation Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang
2013	J	`jnl`	On the investigation of hyper-heuristics on a financial forecasting problem. Ann. Math. Artif. Intell. Michael Kampouridis, Abdullah Alsheddy, Edward P. K. Tsang
2013	—	`conf`	Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming. EANN (1) Antonios K. Alexandridis, Michael Kampouridis
2013	—	`conf`	Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm. TAAI Michael Kampouridis, Fernando E. B. Otero
2012	J	`jnl`	Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. Int. J. Comput. Intell. Syst. Michael Kampouridis, Edward P. K. Tsang
2012	—	`ch.`	Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment. Natural Computing in Computational Finance (4) Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2012	B	`conf`	Off-line parameter tuning for Guided Local Search using Genetic Programming. IEEE Congress on Evolutionary Computation Abdullah Alsheddy, Michael Kampouridis
2012	B	`conf`	Using a genetic algorithm as a decision support tool for the deployment of Fiber Optic Networks. IEEE Congress on Evolutionary Computation Michael Kampouridis, Tim Glover, Ali Rais Shaghaghi, Edward P. K. Tsang
2011	—	`—`	Computational intelligence in financial forecasting and agent-based modeling: applications of genetic programming and self-organizing maps. Michael Kampouridis
2011	—	`conf`	Investigating the effect of different GP algorithms on the non-stationary behavior of financial markets. CIFEr Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2011	—	`conf`	Market Microstructure: Can Dinosaurs Return? A Self-Organizing Map Approach under an Evolutionary Framework. EvoApplications (2) Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang
2011	—	`conf`	Using Hyperheuristics under a GP Framework for Financial Forecasting. LION Michael Kampouridis, Edward P. K. Tsang
2010	B	`conf`	EDDIE for investment opportunities forecasting: Extending the search space of the GP. IEEE Congress on Evolutionary Computation Michael Kampouridis, Edward P. K. Tsang
2010	C	`conf`	Microstructure Dynamics and Agent-Based Financial Markets. MABS Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang
2010	—	`conf`	Testing the Dinosaur Hypothesis under Empirical Datasets. PPSN (2) Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang