Stebėti
Jin-Tao Huang
Pavadinimas
Cituota
Cituota
Metai
Mutual information-based label distribution feature selection for multi-label learning
W Qian, J Huang, Y Wang, W Shu
Knowledge-Based Systems 195, 105684, 2020
642020
Label distribution feature selection for multi-label classification with rough set
W Qian, J Huang, Y Wang, Y Xie
International journal of approximate reasoning 128, 32-55, 2021
592021
Feature selection based on label distribution and fuzzy mutual information
C Xiong, W Qian, Y Wang, J Huang
Information Sciences 574, 297-319, 2021
542021
A survey on multi-label feature selection from perspectives of label fusion
W Qian, J Huang, F Xu, W Shu, W Ding
Information Fusion 100, 101948, 2023
402023
Accurate and efficient large-scale multi-label learning with reduced feature broad learning system using label correlation
J Huang, CM Vong, CLP Chen, Y Zhou
IEEE Transactions on Neural Networks and Learning Systems 34 (12), 10240-10253, 2022
282022
A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning
W Qian, F Xu, J Huang, J Qian
Knowledge-Based Systems 278, 110898, 2023
232023
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index
W Qian, P Dong, S Dai, J Huang, Y Wang
Applied Soft Computing 130, 109693, 2022
142022
Local rough set-based feature selection for label distribution learning with incomplete labels
W Qian, P Dong, Y Wang, S Dai, J Huang
International Journal of Machine Learning and Cybernetics 13 (8), 2345-2364, 2022
142022
Joint label enhancement and label distribution learning via stacked graph regularization-based polynomial fuzzy broad learning system
J Huang, CM Vong, G Wang, W Qian, Y Zhou, CLP Chen
IEEE Transactions on Fuzzy Systems 31 (9), 3290-3304, 2023
132023
Multi-label feature selection via label enhancement and analytic hierarchy process
J Huang, W Qian, CM Vong, W Ding, W Shu, Q Huang
IEEE Transactions on Emerging Topics in Computational Intelligence 7 (5 …, 2023
132023
Relevance-based label distribution feature selection via convex optimization
W Qian, Q Ye, Y Li, J Huang, S Dai
Information Sciences 607, 322-345, 2022
112022
Label correlations-based multi-label feature selection with label enhancement
W Qian, Y Xiong, W Ding, J Huang, CM Vong
Engineering Applications of Artificial Intelligence 127, 107310, 2024
102024
Granular ball-based label enhancement for dimensionality reduction in multi-label data
W Qian, W Ruan, Y Li, J Huang
Applied Intelligence 53 (20), 24008-24033, 2023
92023
Partial multilabel learning using noise-tolerant broad learning system with label enhancement and dimensionality reduction
W Qian, Y Tu, J Huang, W Shu, YM Cheung
IEEE Transactions on Neural Networks and Learning Systems, 2024
62024
Partial multi-label learning via robust feature selection and relevance fusion optimization
W Qian, Y Tu, J Huang, W Ding
Knowledge-Based Systems 286, 111365, 2024
52024
Online label distribution learning using random vector functional-link network
J Huang, CM Vong, W Qian, Q Huang, Y Zhou
IEEE Transactions on Emerging Topics in Computational Intelligence 7 (4 …, 2022
52022
Label distribution feature selection based on hierarchical structure and neighborhood granularity
X Lu, W Qian, S Dai, J Huang
Information Fusion 112, 102588, 2024
42024
Cost-Sensitive Feature Selection Based on Label Significance and Positive Region
J Huang, W Qian, B Wu, Y Wang
2019 International Conference on Machine Learning and Cybernetics (ICMLC), 1-7, 2019
42019
Confidence-Induced Granular Partial Label Feature Selection via Dependency and Similarity
W Qian, Y Li, Q Ye, S Xia, J Huang, W Ding
IEEE Transactions on Knowledge and Data Engineering, 2024
32024
Incremental attribute reduction method for incomplete hybrid data with variable precision
Y Wang, Q Zeng, W Qian, W Shu, J Huang
Journal of Computer Applications 38 (10), 2764-2771, 2018
32018
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