Multi-label feature selection based on max-dependency and min-redundancy Y Lin, Q Hu, J Liu, J Duan Neurocomputing 168, 92-103, 2015 | 245 | 2015 |
Streaming feature selection for multilabel learning based on fuzzy mutual information Y Lin, Q Hu, J Liu, J Li, X Wu IEEE Transactions on Fuzzy Systems 25 (6), 1491-1507, 2017 | 174 | 2017 |
Multi-label feature selection based on neighborhood mutual information Y Lin, Q Hu, J Liu, J Chen, J Duan Applied soft computing 38, 244-256, 2016 | 164 | 2016 |
Online multi-label streaming feature selection based on neighborhood rough set J Liu, Y Lin, Y Li, W Weng, S Wu Pattern Recognition 84, 273-287, 2018 | 135 | 2018 |
An effective collaborative filtering algorithm based on user preference clustering J Zhang, Y Lin, M Lin, J Liu Applied Intelligence 45, 230-240, 2016 | 120 | 2016 |
Feature selection based on quality of information J Liu, Y Lin, M Lin, S Wu, J Zhang Neurocomputing 225, 11-22, 2017 | 85 | 2017 |
Feature selection for multi-label learning based on kernelized fuzzy rough sets Y Li, Y Lin, J Liu, W Weng, Z Shi, S Wu Neurocomputing 318, 271-286, 2018 | 60 | 2018 |
Online multi-label group feature selection J Liu, Y Lin, S Wu, C Wang Knowledge-Based Systems 143, 42-57, 2018 | 57 | 2018 |
Multi-label feature selection based on label correlations and feature redundancy Y Fan, B Chen, W Huang, J Liu, W Weng, W Lan Knowledge-Based Systems 241, 108256, 2022 | 51 | 2022 |
Manifold learning with structured subspace for multi-label feature selection Y Fan, J Liu, P Liu, Y Du, W Lan, S Wu Pattern Recognition 120, 108169, 2021 | 50 | 2021 |
Different classes’ ratio fuzzy rough set based robust feature selection Y Li, S Wu, Y Lin, J Liu Knowledge-Based Systems 120, 74-86, 2017 | 46 | 2017 |
Feature selection for multi-label learning with streaming label J Liu, Y Li, W Weng, J Zhang, B Chen, S Wu Neurocomputing 387, 268-278, 2020 | 44 | 2020 |
Group-preserving label-specific feature selection for multi-label learning J Zhang, H Wu, M Jiang, J Liu, S Li, Y Tang, J Long Expert Systems with Applications 213, 118861, 2023 | 41 | 2023 |
MULFE: multi-label learning via label-specific feature space ensemble Y Lin, Q Hu, J Liu, X Zhu, X Wu ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-24, 2021 | 39 | 2021 |
Non-sparse label specific features selection for multi-label classification W Weng, YN Chen, CL Chen, SX Wu, JH Liu Neurocomputing 377, 85-94, 2020 | 31 | 2020 |
Feature selection for multi-label learning with missing labels C Wang, Y Lin, J Liu Applied Intelligence 49, 3027-3042, 2019 | 30 | 2019 |
Fuzzy mutual information-based multilabel feature selection with label dependency and streaming labels J Liu, Y Lin, W Ding, H Zhang, J Du IEEE Transactions on Fuzzy Systems 31 (1), 77-91, 2022 | 28 | 2022 |
Multi-label feature selection with local discriminant model and label correlations Y Fan, J Liu, W Weng, B Chen, Y Chen, S Wu Neurocomputing 442, 98-115, 2021 | 28 | 2021 |
Multi-label feature selection with constraint regression and adaptive spectral graph Y Fan, J Liu, W Weng, B Chen, Y Chen, S Wu Knowledge-Based Systems 212, 106621, 2021 | 28 | 2021 |
A variable precision grey-based multi-granulation rough set model and attribute reduction Y Kang, S Wu, Y Li, J Liu, B Chen Knowledge-Based Systems 148, 131-145, 2018 | 27 | 2018 |