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Learning Imbalanced Multi-class Data with Optimal Dichotomy Weights.

, , and . ICDM, page 478-487. IEEE Computer Society, (2013)

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Learning with cost intervals., and . KDD, page 403-412. ACM, (2010)Transfer synthetic over-sampling for class-imbalance learning with limited minority class data., , and . Frontiers Comput. Sci., 13 (5): 996-1009 (2019)Large-scale multi-label classification using unknown streaming images., , , , and . Pattern Recognit., (2020)Towards Class-Imbalance Aware Multi-Label Learning., , and . IJCAI, page 4041-4047. AAAI Press, (2015)The Influence of Class Imbalance on Cost-Sensitive Learning: An Empirical Study., and . ICDM, page 970-974. IEEE Computer Society, (2006)Binary relevance for multi-label learning: an overview., , , and . Frontiers Comput. Sci., 12 (2): 191-202 (2018)Learning from combination of data chunks for multi-class imbalanced data., and . IJCNN, page 1680-1687. IEEE, (2014)Towards Cost-Sensitive Learning for Real-World Applications., and . PAKDD Workshops, volume 7104 of Lecture Notes in Computer Science, page 494-505. Springer, (2011)On Multi-Class Cost-Sensitive Learning., and . AAAI, page 567-572. AAAI Press, (2006)Imbalanced Augmented Class Learning with Unlabeled Data by Label Confidence Propagation., , and . ICDM, page 79-88. IEEE Computer Society, (2018)