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GPTP 2022

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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Leonardo Trujillo, Stephan M. Winkler, Sara Silva, Wolfgang Banzhaf:
Genetic Programming Theory and Practice XIX [GPTP 2022]. Springer 2023, ISBN 978-981-19-8459-4
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Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller:
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. 1-30
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Nathan Haut, Wolfgang Banzhaf, Bill Punch:
Correlation Versus RMSE Loss Functions in Symbolic Regression Tasks. 31-55
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  - conf/gptp/GoldGHGO22
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Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly:
GUI-Based, Efficient Genetic Programming and AI Planning for Unity3D. 57-79
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Ting Hu:
Genetic Programming for Interpretable and Explainable Machine Learning. 81-90
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Mark E. Kotanchek, Theresa Kotanchek, Kelvin Kotanchek:
Biological Strategies ParetoGP Enables Analysis of Wide and Ill-Conditioned Data from Nonlinear Systems. 91-116
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  - conf/gptp/MachadoBM022
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Penousal Machado, Francisco Baeta, Tiago Martins, João Correia:
GP-Based Generative Adversarial Models. 117-140
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Gustavo Olague, Matthieu Olague, Gerardo Ibarra-Vázquez, Isnardo Reducindo, Aaron Barrera, Axel Martinez, José Luis Briseño:
Modeling Hierarchical Architectures with Genetic Programming and Neuroscience Knowledge for Image Classification Through Inferential Knowledge. 141-166
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Susan Stepney:
Life as a Cyber-Bio-Physical System. 167-200
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Ryan J. Urbanowicz, Robert Zhang, Yuhan Cui, Pranshu Suri:
STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison. 201-231
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Alden H. Wright, Cheyenne L. Laue:
Evolving Complexity is Hard. 233-253
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Bill Worzel:
ESSAY: Computers Are Useless ... They Only Give Us Answers. 255-260

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