Multi-label feature selection based on manifold regularization and imbalance ratio

Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy

Fuhui Long, Chen Ding · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2005 · 10.2K citations

Engineering, Machine Learning, Mutual Information Criteria +21

ML-KNN: A lazy learning approach to multi-label learning

Min-Ling Zhang, Zhi‐Hua Zhou · Pattern Recognition · 2007 · 3.5K citations

Natural Language Processing, Engineering, Machine Learning +9

Exploratory Undersampling for Class-Imbalance Learning

Xuying Liu, Jianxin Wu, Zhihua Zhou · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 2008 · 2.4K citations

Engineering, Machine Learning, Roc Curve +16

Learning multi-label scene classification

Matthew Boutell, Jiebo Luo, Xipeng Shen et al. · Pattern Recognition · 2004 · 2.3K citations

Scene Analysis, Machine Vision, Machine Learning +9

RUSBoost: A Hybrid Approach to Alleviating Class Imbalance

Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse et al. · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2009 · 1.8K citations

Engineering, Machine Learning, Text Mining +16