Genetic Programming Bibliography entries for Eva Christodoulaki
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GP coauthors/coeditors:
Michael Kampouridis,
Panagiotis Kanellopoulos,
Maria Kyropoulou,
Genetic Programming PhD doctoral thesis Eva Christodoulaki
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Evangelia Paraskevi Christodoulaki.
Fundamental, Sentiment and Technical analysis for Algorithmic Trading using Novel Genetic Programming algorithms. PhD thesis,
School of Computer Science and Electronic Engineering, University of Essex, UK, 2024.
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Genetic Programming conference papers by Eva Christodoulaki
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Evangelia Christodoulaki and Michael Kampouridis and Maria Kyropoulou.
Enhanced Strongly Typed Genetic Programming for Algorithmic Trading. In
Sara Silva and Luis Paquete and Leonardo Vanneschi and Nuno Lourenco and Ales Zamuda and Ahmed Kheiri and Arnaud Liefooghe and Bing Xue and Ying Bi and Nelishia Pillay and Irene Moser and Arthur Guijt and Jessica Catarino and Pablo Garcia-Sanchez and Leonardo Trujillo and Carla Silva and Nadarajen Veerapen editors,
Proceedings of the 2023 Genetic and Evolutionary Computation Conference, pages 1055-1063, Lisbon, Portugal, 2023. Association for Computing Machinery.
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Eva Christodoulaki and Michael Kampouridis.
Fundamental, Technical and Sentiment Analysis for Algorithmic Trading with Genetic Programming. In
2023 IEEE Symposium Series on Computational Intelligence (SSCI), pages 83-89, 2023.
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Eva Christodoulaki and Michael Kampouridis and Panagiotis Kanellopoulos.
Technical and Sentiment Analysis in Financial Forecasting with Genetic Programming. In
2022 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr), 2022.
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Eva Christodoulaki and Michael Kampouridis.
Using strongly typed genetic programming to combine technical and sentiment analysis for algorithmic trading. In
Carlos A. Coello Coello and Sanaz Mostaghim editors,
2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022.
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