Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning-Reference-Cited by-同舟云学术

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Active Query Driven by Uncertainty and Diversity for Incremental Multi-label Learning

Published:2013-12 Issue: Volume: Page:
ISSN:
Container-title:2013 IEEE 13th International Conference on Data Mining
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Author:

Huang Sheng-Jun,Zhou Zhi-Hua

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6724379/6729471/06729601.pdf?arnumber=6729601

Cited by 45 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. CoMAL: Contrastive Active Learning for Multi-Label Text Classification;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

2. ActivePCA: A Novel Framework Integrating PCA and Active Machine Learning for Efficient Dimension Reduction;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Sample diversity selection strategy based on label distribution morphology for active label distribution learning;Pattern Recognition;2024-06

4. Boosting Multi-Label Classification Performance Through Meta-Model;International Journal of Pattern Recognition and Artificial Intelligence;2024-01-31

5. Active Batch Sampling for Multi-label Classification with Binary User Feedback;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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