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2020 – today
- 2024
[j16]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): 34 (2024)- [j15]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: 121102 (2024) - [i2]Michael Kampouridis, Nikolaos Vastardis, George Rayment:
Using machine learning for fault detection in lighthouse light sensors. CoRR abs/2409.05495 (2024) - 2023
- [j14]Adesola Adegboye, Michael Kampouridis, Fernando E. B. Otero:
Algorithmic trading with directional changes. Artif. Intell. Rev. 56(6): 5619-5644 (2023) - [c43]Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos:
Multi-Objective Optimisation and Genetic Programming for Trading by Combining Directional Changes and Technical Indicators. CEC 2023: 1-8 - [c42]Ozgur Salman, Themistoklis Melissourgos, Michael Kampouridis:
Optimization of Trading Strategies Using a Genetic Algorithm Under the Directional Changes Paradigm with Multiple Thresholds. CEC 2023: 1-8 - [c41]Evangelia Christodoulaki, Michael Kampouridis, Maria Kyropoulou:
Enhanced Strongly typed Genetic Programming for Algorithmic Trading. GECCO 2023: 1055-1063 - [c40]Fatim Z. Habbab, Michael Kampouridis, Tasos Papastylianou:
Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. IJCNN 2023: 1-8 - [c39]Ivan Evdokimov, Michael Kampouridis, Tasos Papastylianou:
Application Of Machine Learning Algorithms to Free Cash Flows Growth Rate Estimation. INNS DLIA@IJCNN 2023: 529-538 - [c38]Eva Christodoulaki, Michael Kampouridis:
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. SSCI 2023: 83-89 - [c37]George Rayment, Michael Kampouridis:
High Frequency Trading with Deep Reinforcement Learning Agents Under a Directional Changes Sampling Framework. SSCI 2023: 387-394 - 2022
- [j13]Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris:
Multi-agent systems for computational economics and finance. AI Commun. 35(4): 369-380 (2022) - [c36]Eva Christodoulaki, Michael Kampouridis:
U sing strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. CEC 2022: 1-8 - [c35]Fatim Z. Habbab, Michael Kampouridis:
Optimizing Mixed-Asset Portfolios With Real Estate: Why Price Predictions? CEC 2022: 1-8 - [c34]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: 1-8 - [c33]Ozgur Salman, Michael Kampouridis, Delaram Jarchi:
Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. CEC 2022: 1-8 - [c32]Eva Christodoulaki, Michael Kampouridis, Panagiotis Kanellopoulos:
Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. CIFEr 2022: 1-8 - [c31]Fatim Z. Habbab, Michael Kampouridis, Alexandros A. Voudouris:
Optimizing Mixed-Asset Portfolios Involving REITs. CIFEr 2022: 1-8 - [c30]Xinpeng Long, Michael Kampouridis, Panagiotis Kanellopoulos:
Genetic Programming for Combining Directional Changes Indicators in International Stock Markets. PPSN (2) 2022: 33-47 - [c29]Fatim Z. Habbab, Michael Kampouridis:
Machine Learning for Real Estate Time Series Prediction. UKCI 2022: 271-282 - [c28]Eva Christodoulaki, Michael Kampouridis:
Combining Technical and Sentiment Analysis Under a Genetic Programming Algorithm. UKCI 2022: 502-513 - [i1]Michael Kampouridis, Panagiotis Kanellopoulos, Maria Kyropoulou, Themistoklis Melissourgos, Alexandros A. Voudouris:
Multi-Agent Systems for Computational Economics and Finance. CoRR abs/2210.03540 (2022) - 2021
- [j12]Adesola Adegboye, Michael Kampouridis:
Machine learning classification and regression models for predicting directional changes trend reversal in FX markets. Expert Syst. Appl. 173: 114645 (2021) - [j11]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): 7609-7640 (2021) - 2020
- [j10]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): 33-53 (2020)
2010 – 2019
- 2019
- [j9]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis:
Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm Evol. Comput. 46: 184-200 (2019) - 2018
- [j8]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: 208-224 (2018) - 2017
- [j7]Michael Kampouridis, Fernando E. B. Otero:
Evolving trading strategies using directional changes. Expert Syst. Appl. 73: 145-160 (2017) - [j6]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: 169-181 (2017) - [j5]Michael Kampouridis, Fernando E. B. Otero:
Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. Soft Comput. 21(2): 295-310 (2017) - [c27]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis K. Alexandridis:
Pricing Rainfall Based Futures Using Genetic Programming. EvoApplications (1) 2017: 17-33 - [c26]Michael Kampouridis, Adesola Adegboye, Colin G. Johnson:
Evolving Directional Changes Trading Strategies with a New Event-Based Indicator. SEAL 2017: 727-738 - [c25]Adesola Adegboye, Michael Kampouridis, Colin G. Johnson:
Regression genetic programming for estimating trend end in foreign exchange market. SSCI 2017: 1-8 - 2016
- [j4]Anthony Brabazon, Michael Kampouridis:
Foreword: special issue on computational finance and economics. Evol. Intell. 9(4): 111-112 (2016) - [j3]Nikolaos Vastardis, Michael Kampouridis, Kun Yang:
A user behaviour-driven smart-home gateway for energy management. J. Ambient Intell. Smart Environ. 8(6): 583-602 (2016) - [c24]Sam Cramer, Michael Kampouridis, Alex Alves Freitas:
Feature engineering for improving financial derivatives-based rainfall prediction. CEC 2016: 3483-3490 - [c23]Sam Cramer, Michael Kampouridis, Alex Alves Freitas:
A Genetic Decomposition Algorithm for Predicting Rainfall within Financial Weather Derivatives. GECCO 2016: 885-892 - 2015
- [c22]Sam Cramer, Michael Kampouridis:
Optimising the deployment of fibre optics using Guided Local Search. CEC 2015: 799-806 - [c21]Jeremie Gypteau, Fernando E. B. Otero, Michael Kampouridis:
Generating Directional Change Based Trading Strategies with Genetic Programming. EvoApplications 2015: 267-278 - [c20]Sam Cramer, Michael Kampouridis, Alex Alves Freitas, Antonis Alexandridis:
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming. SSCI 2015: 711-718 - 2014
- [c19]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: 2499-2506 - [c18]Ming Shao, Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Guided Fast Local Search for speeding up a financial forecasting algorithm. CIFEr 2014: 325-332 - [c17]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: 333-340 - [c16]Ahmed Kattan, Michael Kampouridis, Alexandros Agapitos:
Generalisation Enhancement via Input Space Transformation: A GP Approach. EuroGP 2014: 61-74 - [c15]Fernando E. B. Otero, Michael Kampouridis:
A Comparative Study on the Use of Classification Algorithms in Financial Forecasting. EvoApplications 2014: 276-287 - [c14]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: 1117-1124 - 2013
- [j2]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): 225-246 (2013) - [c13]Dafni Smonou, Michael Kampouridis, Edward P. K. Tsang:
Metaheuristics application on a financial forecasting problem. IEEE Congress on Evolutionary Computation 2013: 1021-1028 - [c12]Michael Kampouridis, Kwang Mong Sim:
A GP approach for price-speed optimizing negotiation. IEEE Congress on Evolutionary Computation 2013: 1170-1177 - [c11]Michael Kampouridis:
An initial investigation of choice function hyper-heuristics for the problem of financial forecasting. IEEE Congress on Evolutionary Computation 2013: 2406-2413 - [c10]Antonios K. Alexandridis, Michael Kampouridis:
Temperature Forecasting in the Concept of Weather Derivatives: A Comparison between Wavelet Networks and Genetic Programming. EANN (1) 2013: 12-21 - [c9]Michael Kampouridis, Fernando E. B. Otero:
Using Attribute Construction to Improve the Predictability of a GP Financial Forecasting Algorithm. TAAI 2013: 55-60 - 2012
- [j1]Michael Kampouridis, Edward P. K. Tsang:
Investment Opportunities Forecasting: Extending the Grammar of a GP-based Tool. Int. J. Comput. Intell. Syst. 5(3): 530-541 (2012) - [c8]Abdullah Alsheddy, Michael Kampouridis:
Off-line parameter tuning for Guided Local Search using Genetic Programming. IEEE Congress on Evolutionary Computation 2012: 1-5 - [c7]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: 1-8 - [p1]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Market Microstructure: A Self-Organizing Map Approach to Investigate Behavior Dynamics under an Evolutionary Environment. Natural Computing in Computational Finance (4) 2012: 181-197 - 2011
- [b1]Michael Kampouridis:
Computational intelligence in financial forecasting and agent-based modeling: applications of genetic programming and self-organizing maps. University of Essex, Colchester, UK, 2011 - [c6]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: 43-50 - [c5]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: 91-100 - [c4]Michael Kampouridis, Edward P. K. Tsang:
Using Hyperheuristics under a GP Framework for Financial Forecasting. LION 2011: 16-30 - 2010
- [c3]Michael Kampouridis, Edward P. K. Tsang:
EDDIE for investment opportunities forecasting: Extending the search space of the GP. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c2]Shu-Heng Chen, Michael Kampouridis, Edward P. K. Tsang:
Microstructure Dynamics and Agent-Based Financial Markets. MABS 2010: 121-135 - [c1]Michael Kampouridis, Shu-Heng Chen, Edward P. K. Tsang:
Testing the Dinosaur Hypothesis under Empirical Datasets. PPSN (2) 2010: 199-208
Coauthor Index
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