Követés
Min-Ling Zhang
Min-Ling Zhang
Professor, School of Computer Science and Engineering, Southeast University, China
E-mail megerősítve itt: seu.edu.cn - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
ML-KNN: A lazy learning approach to multi-label learning
ML Zhang, ZH Zhou
Pattern Recognition 40 (7), 2038-2048, 2007
41032007
A review on multi-label learning algorithms
M Zhang, Z Zhou
IEEE Transactions on Knowledge and Data Engineering 26 (8), 1819-1837, 2014
35132014
Multilabel neural networks with applications to functional genomics and text categorization
ML Zhang, ZH Zhou
IEEE transactions on Knowledge and Data Engineering 18 (10), 1338-1351, 2006
15732006
A k-nearest neighbor based algorithm for multi-label classification
ML Zhang, ZH Zhou
2005 IEEE international conference on granular computing 2, 718-721, 2005
7172005
Feature selection for multi-label naive Bayes classification
ML Zhang, JM Peña, V Robles
Information Sciences 179 (19), 3218-3229, 2009
6422009
Multi-instance multi-label learning with application to scene classification
ZH Zhou, ML Zhang
Advances in neural information processing systems 19, 2006
6372006
LIFT: Multi-label learning with label-specific features
ML Zhang, L Wu
IEEE transactions on pattern analysis and machine intelligence 37 (1), 107-120, 2015
6342015
Multi-label learning by exploiting label dependency
ML Zhang, K Zhang
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
5842010
Multi-instance multi-label learning
ZH Zhou, ML Zhang, SJ Huang, YF Li
Artificial Intelligence 176 (1), 2291-2320, 2012
5202012
Binary relevance for multi-label learning: an overview
ML Zhang, YK Li, XY Liu, X Geng
Frontiers of Computer Science 12, 191-202, 2018
4242018
Ml-rbf: RBF Neural Networks for Multi-Label Learning
ML Zhang
Neural Processing Letters 29, 61-74, 2009
2512009
Solving the partial label learning problem: An instance-based approach.
ML Zhang, F Yu
IJCAI, 4048-4054, 2015
2372015
Disambiguation-free partial label learning
ML Zhang, F Yu, CZ Tang
IEEE Transactions on Knowledge and Data Engineering 29 (10), 2155-2167, 2017
2192017
Towards class-imbalance aware multi-label learning
ML Zhang, YK Li, H Yang, XY Liu
IEEE Transactions on Cybernetics 52 (6), 4459-4471, 2020
1962020
Neural networks for multi-instance learning
ZH Zhou, ML Zhang
Proceedings of the International Conference on Intelligent Information …, 2002
1932002
Maximum margin partial label learning
F Yu, ML Zhang
Machine Learning 106, 573–593, 2017
1852017
Solving multi-instance problems with classifier ensemble based on constructive clustering
ZH Zhou, ML Zhang
Knowledge and information systems 11, 155-170, 2007
1832007
Partial label learning via feature-aware disambiguation
ML Zhang, BB Zhou, XY Liu
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
1712016
Multi-instance clustering with applications to multi-instance prediction
ML Zhang, ZH Zhou
Applied intelligence 31, 47-68, 2009
1682009
Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning
ML Zhang, QW Zhang, JP Fang, YK Li, X Geng
IEEE Transactions on Knowledge and Data Engineering, 2019
144*2019
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Cikkek 1–20