Binary relevance for multi-label learning: an overview

By Min-Ling Zhang, Yukun Li, Xu-Ying Liu, Xin Geng. Frontiers of Computer Science, 2018

422 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/d01d7532588771eea008791f7ca4187a39baa7f1

Citations in the corpus

• AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition (2022, neutral): “In traditional multi-label learning, label relationships are verified effective to improve the recognition [22, 23], or about generation [24].”