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.
Authors
- Davide Farinati (ORCID: https://orcid.org/0000-0003-2925-527X)
- Leonardo Vanneschi (ORCID: https://orcid.org/0000-0003-4732-3328)
Institutions
- Universidade Nova de Lisboa (PT)
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
Funders
- Fundação para a Ciência e a Tecnologia