A Radial-Based Mixed sampling method for imbalanced data classification
Author:
Affiliation:
1. Liaoning Technical University,School of Electronics and Information Engineering,Huludao,China,125105
Funder
National Natural Science Foundation of China
Natural Science Foundation of Liaoning Province
Liaoning Technical University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10423279/10423280/10423352.pdf?arnumber=10423352
Reference15 articles.
1. A Hybrid Sampling Approach for Improving the Classification of Imbalanced Data Using ROS and NCL Methods
2. Learning from imbalanced data: open challenges and future directions
3. Classifying imbalanced data using BalanceCascade-based kernelized extreme learning machine
4. SMOTE: Synthetic Minority Over-sampling Technique
5. Borderline-SMOTE: A New Over-Sampling Method in Imbalanced Data Sets Learning
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