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Random Balance ensembles for multiclass imbalance learning

  • Published:2020-04 Issue: Volume:193 Page:105434
  • ISSN:0950-7051
  • Container-title:Knowledge-Based Systems
  • language:en
  • Short-container-title:Knowledge-Based Systems

Author:

Rodríguez Juan J.,Díez-Pastor José-Francisco,Arnaiz-González Álvar,Kuncheva Ludmila I.

Funder

Spanish Government

Junta de Castilla y León

European Union FEDER funds

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference78 articles.

1. Learning from imbalanced data;He;IEEE Trans. Knowl. Data Eng.,2009

2. A survey of predictive modeling on imbalanced domains;Branco;ACM Comput. Surv.,2016

3. Learning from imbalanced data: open challenges and future directions;Krawczyk;Prog. Artif. Intell.,2016

4. Learning from class-imbalanced data: Review of methods and applications;Haixiang;Expert Syst. Appl.,2017

5. Learning from Imbalanced Data Sets;Fernández,2018

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