Items where Author is "Kampouridis, Michael"

Habbab, Fatima and Kampouridis, Michael and Papastylianou, Tasos (2023) Improving REITs Time Series Prediction Using ML and Technical Analysis Indicators. In: International Joint Conference on Neural Networks (IJCNN), 2023-06-18 - 2023-06-23, Queensland, Australia.

Christodoulaki, Evangelia and Kampouridis, Michael and Kyropoulou, Maria (2023) Enhanced Strongly typed Genetic Programming for Algorithmic Trading. In: Genetic and Evolutionary Computation (GECCO'23), 2023-07-15 - 2023-07-19, Lisbon, Portugal.

Long, Xinpeng and Kampouridis, Michael and Kanellopoulos, Panagiotis (2023) Multi-objective optimisation and genetic programming for trading by combining directional changes and technical indicators. In: IEEE 2023 Congress on Evolutionary Computation, 2023-07-01 - 2023-07-05, Chicago. (In Press)

Adegboye, Adesola and Kampouridis, Michael and Otero, Fernando (2022) Algorithmic trading with directional changes. Artificial Intelligence Review, 56 (6). pp. 5619-5644. DOI https://doi.org/10.1007/s10462-022-10307-0

Kampouridis, Michael and Kanellopoulos, Panagiotis and Kyropoulou, Maria and Melissourgos, Themistoklis and Voudouris, Alexandros (2022) Multi-Agent Systems for Computational Economics and Finance. AI Communications: the European journal on artificial intelligence, 35 (4). pp. 369-380. DOI https://doi.org/10.3233/aic-220117

Christodoulaki, Eva and Kampouridis, Michael (2022) Combining Technical and Sentiment Analysis under a Genetic Programming algorithm. In: The 21st UK Workshop on Computational Intelligence, 2022-09-07 - 2022-09-09, Sheffield, UK. (In Press)

Habbab, Fatim Z and Kampouridis, Michael (2022) Machine Learning for Real Estate Time Series Prediction. In: The 21st UK Workshop on Computational Intelligence, 2022-09-07 - 2022-09-09, Sheffield, UK. (In Press)

Habbab, Fatim Z and Kampouridis, Michael (2022) Optimizing Mixed-Asset Portfolio With Real Estate: Why Price Predictions? In: IEEE Congress on Evolutionary Computation, 2022-07-18 - 2022-07-23, Padua, Italy. (In Press)

Salman, Ozgur and Kampouridis, Michael and Jarchi, Delaram (2022) Trading Strategies Optimization by Genetic Algorithm under the Directional Changes Paradigm. In: IEEE Congress on Evolutionary Computation, 2022-07-18 - 2022-07-23, Padua, Italy. (In Press)

Christodoulaki, Eva and Kampouridis, Michael (2022) Using strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. In: IEEE Congress on Evolutionary Computation 2022, 2022-07-18 - 2022-07-23, Padova, Italy. (In Press)

Long, Xinpeng and Kampouridis, Michael and Jarchi, Delaram (2022) An in-depth investigation of genetic programming and nine other machine learning algorithms in a financial forecasting problem. In: IEEE Congress on Evolutionary Computation, 2022-07-18 - 2022-07-23, Padua, Italy. (In Press)

Brabazon, Anthony and Kampouridis, Michael and O’Neill, Michael (2020) Applications of genetic programming to finance and economics: past, present, future. Genetic Programming and Evolvable Machines, 21 (1-2). pp. 33-53. DOI https://doi.org/10.1007/s10710-019-09359-z

Cramer, Sam and Kampouridis, Michael and Freitas, Alex A and Alexandridis, Antonis (2019) Stochastic model genetic programming: Deriving pricing equations for rainfall weather derivatives. Swarm and Evolutionary Computation, 46. pp. 184-200. DOI https://doi.org/10.1016/j.swevo.2019.01.008

Cramer, Sam and Kampouridis, Michael and Freitas, Alex A (2018) Decomposition genetic programming: An extensive evaluation on rainfall prediction in the context of weather derivatives. Applied Soft Computing, 70. pp. 208-224. DOI https://doi.org/10.1016/j.asoc.2018.05.016

Cramer, Sam and Kampouridis, Michael and Freitas, Alex A and Alexandridis, Antonis K (2017) An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives. Expert Systems with Applications, 85. pp. 169-181. DOI https://doi.org/10.1016/j.eswa.2017.05.029

Kampouridis, Michael and Otero, Fernando EB (2017) Evolving trading strategies using directional changes. Expert Systems with Applications, 73. pp. 145-160. DOI https://doi.org/10.1016/j.eswa.2016.12.032

Alexandridis, Antonis K and Kampouridis, Michael and Cramer, Sam (2017) A comparison of wavelet networks and genetic programming in the context of temperature derivatives. International Journal of Forecasting, 33 (1). pp. 21-47. DOI https://doi.org/10.1016/j.ijforecast.2016.07.002

Kampouridis, Michael and Otero, Fernando EB (2017) Heuristic procedures for improving the predictability of a genetic programming financial forecasting algorithm. Soft Computing, 21 (2). pp. 295-310. DOI https://doi.org/10.1007/s00500-015-1614-8

Vastardis, Nikolaos and Kampouridis, Michael and Yang, Kun (2016) A user behaviour-driven smart-home gateway for energy management. Journal of Ambient Intelligence and Smart Environments, 8 (6). pp. 583-602. DOI https://doi.org/10.3233/AIS-160403

Aluko, Babatunde and Smonou, Dafni and Kampouridis, Michael and Tsang, Edward (2014) Combining different meta-heuristics to improve the predictability of a Financial Forecasting algorithm. In: 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2014-03-27 - 2014-03-28.

Shao, Ming and Smonou, Dafni and Kampouridis, Michael and Tsang, Edward (2014) Guided Fast Local Search for speeding up a financial forecasting algorithm. In: 2014 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2014-03-27 - 2014-03-28.

Smonou, Dafni and Kampouridis, Michael and Tsang, Edward (2013) Metaheuristics application on a financial forecasting problem. In: 2013 IEEE Congress on Evolutionary Computation (CEC), 2013-06-20 - 2013-06-23.