Keep it simple: random oversampling for imbalanced data
Author:
Affiliation:
1. Canadian University Dubai,Department of Electrical Engineering,Dubai,UAE
2. United Arab Emirates University,Department of Mathematical Sciences,Al Ain,UAE
3. School of IT & Engineering, Vellore Institute of Technology,Vellore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10180403/10180404/10180891.pdf?arnumber=10180891
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1. Kernel density estimation based sampling for imbalanced class distribution
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4. Auto-encoding variational bayes;kingma;ArXiv Preprint,2013
5. A Hybrid Feature Selection Method RFSTL for Manufacturing Quality Prediction Based on a High Dimensional Imbalanced Dataset
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