Survey on deep learning with class imbalance

Survey on deep learning with class imbalance

Abstract The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective classification with imbalanced data is an important area of research, as high class imbalance is naturally inherent in many real-world applications, e.g., fraud detectio...

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Bibliographic Details
Main Authors: Justin M. Johnson, Taghi M. Khoshgoftaar
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Journal of Big Data
Subjects:
Deep learning
Deep neural networks
Class imbalance
Big data
Online Access:http://link.springer.com/article/10.1186/s40537-019-0192-5

Internet

http://link.springer.com/article/10.1186/s40537-019-0192-5

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