Author:
Chen Shuyue,Wang Ran,Lu Jian,Wang Xizhao
Funder
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Shenzhen University
Department of Education of Guangdong Province
Basic and Applied Basic Research Foundation of Guangdong Province
Natural Science Foundation of Shenzhen City
Subject
Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software
Reference50 articles.
1. Learning multi-label scene classification;Boutell;Pattern Recognition,2004
2. Optimal batch selection for active learning in multi-label classification;Chakraborty,2011
3. Dissimilarity-based ensembles for multiple instance learning;Cheplygina;IEEE Transactions on Neural Networks and Learning Systems,2015
4. Everton Alvares Cherman, Yannis Papanikolaou, Grigorios Tsoumakas, and Maria Carolina Monard. Multi-label active learning: key issues and a novel query strategy. Evolving Systems, 10(1), 63–78, 2019.
5. Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jinyeop Chang, Youngjune Gwon, and Hyung Jin Chang. Vab-al: Incorporating class imbalance and difficulty with variational bayes for active learning. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 6749–6758, 2021.
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