A Gaussian–Based WGAN–GP Oversampling Approach for Solving the Class Imbalance Problem

A Gaussian–Based WGAN–GP Oversampling Approach for Solving the Class Imbalance Problem

In practical applications of machine learning, the class distribution of the collected training set is usually imbalanced, i.e., there is a large difference among the sizes of different classes. The class imbalance problem often hinders the achievable generalization performance of most classifier le...

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Bibliographic Details
Main Authors: Zhou Qian, Sun Bo
Format: Article
Language:English
Published: Sciendo 2024-06-01
Series:International Journal of Applied Mathematics and Computer Science
Subjects:
machine learning
class imbalance
generative adversarial networks
oversampling
data duplication
Online Access:https://doi.org/10.61822/amcs-2024-0021

Internet

https://doi.org/10.61822/amcs-2024-0021

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