Imbalanced and missing multi-label data learning with global and local structure

DOI10.1016/J.INS.2024.120910zbMATH Open1543.68342MaRDI QIDQ6564947

Yitian Xu, Xinpei Su

Publication date: 1 July 2024

Published in: Information Sciences (Search for Journal in Brave)

zbMATH Keywords

multi-label learningclass imbalancemissing labelslabel-structure preservation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computational aspects of data analysis and big data (68T09)

Cites Work

• Multi-label learning with missing labels using mixed dependency graphs
• Improving multi-label classification with missing labels by learning label-specific features
• The Concave-Convex Procedure
• Global and local attention-based multi-label learning with missing labels
• Weak multi-label learning with missing labels via instance granular discrimination
• Noisy feature decomposition-based multi-label learning with missing labels
• Title not available (Why is that?)
• Title not available (Why is that?)

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