An empirical study on the feature selection ability of SLIM-GSGP

Farinati, D., & Vanneschi, L. (2025). An empirical study on the feature selection abilities of SLIM-GSGP [poster]. In G. Ochoa (Ed.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 607-610). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712255.372664 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.

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Publication Details

Journal
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Published
2025-07-14
DOI
https://doi.org/10.1145/3712255.3726642
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.00

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article

An empirical study on the feature selection ability of SLIM-GSGP

Davide Farinati, Leonardo Vanneschi
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Educational Technology and Assessment
article

An empirical study on the feature selection ability of SLIM-GSGP

Davide Farinati, Leonardo Vanneschi
article en

Abstract

Farinati, D., & Vanneschi, L. (2025). An empirical study on the feature selection abilities of SLIM-GSGP [poster]. In G. Ochoa (Ed.), GECCO '25 Companion: Proceedings of the Genetic and Evolutionary Computation Conference Companion (pp. 607-610). ACM - Association for Computing Machinery. https://doi.org/10.1145/3712255.372664 --- This work was supported by national funds through FCT (Fundação para a Ciência e a Tecnologia), under the project UIDB/04152/2020 (DOI: 10.54499/UIDB/04152/2020) – Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.

Proceedings of the Genetic and Evolutionary Computation Conference Companion
Universidade Nova de Lisboa (PT)
Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 45%
Educational Technology and Assessment
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