Correction to: WSMOTER: a novel approach for imbalanced regression

Research output: Contribution to journalComment/debatepeer-review

11 Downloads (Pure)

Abstract

The chapter WSMOTER: a novel approach for imbalanced regression, written by Luís Camacho and Fernando Bacao, was originally published without open access. Following the author’s/authors’ decision to opt for open access, the copyright of the chapter changed on July 29, 2024 to © The Author(s) 2024 and the chapter is now distributed under the terms of the Creative Commons Attribution Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/..Open Access funded by: Open access funding provided by FCT|FCCN (b-on). 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.
Original languageEnglish
Pages (from-to)11160
Number of pages1
JournalApplied Intelligence
Volume54
Early online date23 Aug 2024
DOIs
Publication statusPublished - Nov 2024

Cite this