Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine

Deep Learning-Based Imbalanced Classification With Fuzzy Support Vector Machine

Imbalanced classification is widespread in the fields of medical diagnosis, biomedicine, smart city and Internet of Things. The imbalance of data distribution makes traditional classification methods more biased towards majority classes and ignores the importance of minority class. It makes the trad...

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Bibliographic Details
Main Authors: Ke-Fan Wang, Jing An, Zhen Wei, Can Cui, Xiang-Hua Ma, Chao Ma, Han-Qiu Bao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
imbalance classification
deep neural network
fuzzy support vector machine
machine learning
oversampling
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2021.802712/full

Internet

https://www.frontiersin.org/articles/10.3389/fbioe.2021.802712/full

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