Solving the class imbalance problem using a counterfactual method for data augmentation-Reference-Cited by-同舟云学术

Solving the class imbalance problem using a counterfactual method for data augmentation

Published:2022-09 Issue: Volume:9 Page:100375
ISSN:2666-8270
Container-title:Machine Learning with Applications
language:en
Short-container-title:Machine Learning with Applications

Author:

Temraz Mohammed^ORCID,Keane Mark T.^ORCID

Publisher

Elsevier BV

Subject

General Medicine

Reference85 articles.

1. The inverse classification problem;Aggarwal;Journal of Computer Science and Technology,2010

2. HCAB-SMOTE: A hybrid clustered affinitive borderline SMOTE approach for imbalanced data binary classification;Al Majzoub;Arabian Journal for Science and Engineering,2020

3. KEEL data-mining software tool: Data set repository, integration of algorithms and experimental analysis framework;Alcalá-Fdez;Journal of Multiple-Valued Logic and Soft Computing,2011

4. UCI machine learning repository;Asuncion,2007

5. UCI Machine Learning Repository. University of California, Irvine;Bache,2013

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