RB-CCR: radial-based combined cleaning and resampling algorithm for imbalanced data classification

DOI10.1007/s10994-021-06012-8OpenAlexW3210983949MaRDI QIDQ2071485

Colin Bellinger, Michał Woźniak, Michał Koziarski

Publication date: 28 January 2022

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2105.04009

zbMATH Keywords

classificationradial basis functionsmachine learningoversamplingimbalanced data

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

RB-CCR

Uses Software

• JStatCom
• KEEL
• Scikit
• SMOTEBoost
• Imbalanced-learn
• MWMOTE
• SMOTE
• ADASYN

Cites Work

• Clustering-based ensembles for one-class classification
• Manifold-based synthetic oversampling with manifold conformance estimation
• A note on using the F-measure for evaluating record linkage algorithms
• CCR: a combined cleaning and resampling algorithm for imbalanced data classification
• Two Modifications of CNN
• Asymptotic Properties of Nearest Neighbor Rules Using Edited Data
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