Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

Created by W.Langdon from gp-bibliography.bib Revision:1.8098

@Misc{defranca2023interpretablesymbolicregressiondata,
}

Genetic Programming entries for Fabricio Olivetti de Franca Marco Virgolin Michael Kommenda Maimuna Majumder Miles Cranmer Guilherme Jorge Nunes Monteiro Espada Leon Ingelse Alcides Fonseca Mikel Landajuela Brenden Kyle Petersen Ruben Glatt T Nathan Mundhenk Chak Shing Lee Jacob Dean Hochhalter David L Randall Pierre-Alexandre Kamienny Hengzhe Zhang Grant Dick Alessandro Simon Bogdan Burlacu Jaan Kasak Meera Machado Casper Wilstrup William La Cava

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