Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification-Reference-Cited by-同舟云学术

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Grouping-based Oversampling in Kernel Space for Imbalanced Data Classification

Published:2023-01 Issue: Volume:133 Page:108992
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Ren Jinjun,Wang Yuping,Cheung Yiu-ming,Gao Xiao-Zhi,Guo Xiaofang

Funder

National Natural Science Foundation of China

Xidian University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference38 articles.

1. Imbalance problems in object detection: A review;Oksuz;IEEE Trans. Pattern Anal. Mach. Intell.,2021

2. Deep neural architectures for highly imbalanced data in bioinformatics;Bugnon;IEEE Trans. Neural Networks Learn. Syst.,2020

3. Inf. sci novel algorithms for cost-sensitive classification and knowledge discovery in class imbalanced datasets with an application to nasa software defects;Siers;Information Sciences,2018

4. Smote: synthetic minority over-sampling technique;Chawla;Journal of artificial intelligence research,2002

5. Geometric smote a geometrically enhanced drop-in replacement for smote;Douzas;Information Sciences,2019

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