Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights-Reference-Cited by-同舟云学术

Multi-Class Imbalance Classification Based on Data Distribution and Adaptive Weights

Author:

Li Shuxian¹^ORCID,Song Liyan¹^ORCID,Wu Xiaoyu²^ORCID,Hu Zheng²^ORCID,Cheung Yiu-ming³^ORCID,Yao Xin⁴^ORCID

Affiliation:

1. Research Institute of Trustworthy Autonomous Systems, Southern University of Science and Technology, Shenzhen, Guangdong, China

2. RAMS Reliability Technology Lab, Huawei Technologies Company Ltd, Shenzhen, Guangdong, China

3. Department of Computer Science, Hong Kong Baptist University, Hong Kong, SAR, China

4. Department of Computing and Decision Sciences, Lingnan University, Hong Kong, SAR, China

Funder

National Natural Science Foundation of China

Guangdong Provincial Key Laboratory

Program for Guangdong Introducing Innovative and Enterpreneurial Teams

Research Institute of Trustworthy Autonomous Systems

NSFC/Research Grants Council

General Research Fund of RGC

RGC Senior Research Fellow Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference42 articles.

1. A new multi-class wsvm classification to imbalanced human activity dataset;M’hamed;J. Comput.,2014

3. Feature identification from imbalanced data sets for diagnosis of cardiac arrhythmia;Liang