arXiv Machine Learning June 5, 2026 By Bin Liu, Jun Wu, Haoyu Peng, Ao Zhou, Jin Wang, QiaoSong Chen, Grigorios Tsoumakas

Addressing Imbalance in Multi-Label Data via Label-Specific Distance-based Oversampling

Read the original on arXiv Machine Learning →

arXiv:2606. 05927v1 Announce Type: new Abstract: The complex imbalanced label distribution poses a crucial challenge to multi-label classification, as most classifiers are biased towards the majority class and high-frequent labels.

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