A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence

Label imbalance is one of the characteristics of multilabel data, and imbalanced data seriously affects the performance of the classifiers. In multilabel classification, resampling methods are mostly used to deal with imbalanced problems. Existing resampling methods balance the data by either unders...

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Bibliographic Details
Main Authors: Shuyue Zhou, Xiaobo Li, Yihong Dong, Hao Xu
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2020/8829432