MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation

Published 2015 View Full Article

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Title
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation
Authors
Keywords
Multilabel classification, Imbalanced learning, Oversampling, Synthetic instance generation
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 89, Issue -, Pages 385-397
Publisher
Elsevier BV
Online
2015-07-23
DOI
10.1016/j.knosys.2015.07.019

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