Enhancing soft computing techniques to actively address imbalanced regression problems

Arteaga, María; Gacto Colorado, María José; Galende, Marta; Alcalá Fernández, Jesús; Alcalá Fernández, Rafael

doi:10.1016/j.eswa.2023.121011

1-s2.0-S0957417423015130-main.pdf (3.261Mb)

Identificadores

URI: https://hdl.handle.net/10481/84310

DOI: 10.1016/j.eswa.2023.121011

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Elsevier

Materia

Imbalanced regression

Multi-objective evolutionary algorithms

Fuzzy rule-based systems

Fecha

2023-12-30

Referencia bibliográfica

María Arteaga, María José Gacto, Marta Galende, Jesús Alcalá-Fdez, Rafael Alcalá, Enhancing soft computing techniques to actively address imbalanced regression problems, Expert Systems with Applications, Volume 234, 2023, 121011, ISSN 0957-4174, https://doi.org/10.1016/j.eswa.2023.121011.

Patrocinador

This paper has been supported in part by the ERDF A way of making Europe/Health Institute Carlos III/Spanish Ministry of Science, Innovation and Universities (grant number PI20/00711), by the ERDF A way of making Europe/Regional Government of Andalusia/Ministry of Economic Transformation, Industry, Knowledge and Universities (grant numbers P18-RT-2248 and B-CTS-536-UGR20) and by the MCIN/AEI/10.13039/50110001103 (grant numbers PID2019-107793GB-I00 and PID2020-119478GB-I00). Funding for open access charge: Universidad de Granada / CBUA .

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