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Minority oversampling for imbalanced ordinal regression
Tuanfei Zhu; Yaping Lin; Yonghe Liu; Wei Zhang; Jianming Zhang
刊名Knowledge-Based Systems
2019
卷号Vol.166页码:140-155
关键词Imbalanced classification Oversampling Ordinal sample structure Ordinal regression
ISSN号0950-7051
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4604494
专题湖南大学
作者单位1.b Department of Computer Science and Engineering, University of Texas at Arlington, 701 S Nedderman Dr, Arlington, United States a College of Information Science and Engineering, Hunan Key Laboratory of Dependable Systems and Network, Hunan University, 116 Lu Shan South Road, Changsha, China
2.School of Computer and Communication Engineering, Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation, Changsha University of Science and Technology, 960 Wanjiali South Road, Changsha, China
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GB/T 7714
Tuanfei Zhu,Yaping Lin,Yonghe Liu,et al. Minority oversampling for imbalanced ordinal regression[J]. Knowledge-Based Systems,2019,Vol.166:140-155.
APA Tuanfei Zhu,Yaping Lin,Yonghe Liu,Wei Zhang,&Jianming Zhang.(2019).Minority oversampling for imbalanced ordinal regression.Knowledge-Based Systems,Vol.166,140-155.
MLA Tuanfei Zhu,et al."Minority oversampling for imbalanced ordinal regression".Knowledge-Based Systems Vol.166(2019):140-155.
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