ML-KNN: A lazy learning approach to multi-label learning ML Zhang, ZH Zhou Pattern Recognition 40 (7), 2038-2048, 2007 | 3997 | 2007 |
A review on multi-label learning algorithms M Zhang, Z Zhou IEEE Transactions on Knowledge and Data Engineering 26 (8), 1819-1837, 2014 | 3402 | 2014 |
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 | 1549 | 2006 |
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 | 701 | 2005 |
Feature selection for multi-label naive Bayes classification ML Zhang, JM Peña, V Robles Information Sciences 179 (19), 3218-3229, 2009 | 631 | 2009 |
Multi-instance multi-label learning with application to scene classification ZH Zhou, ML Zhang Advances in neural information processing systems 19, 2006 | 631 | 2006 |
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 | 616 | 2015 |
Multi-label learning by exploiting label dependency ML Zhang, K Zhang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 576 | 2010 |
Multi-instance multi-label learning ZH Zhou, ML Zhang, SJ Huang, YF Li Artificial Intelligence 176 (1), 2291-2320, 2012 | 509 | 2012 |
Binary relevance for multi-label learning: an overview ML Zhang, YK Li, XY Liu, X Geng Frontiers of Computer Science 12, 191-202, 2018 | 392 | 2018 |
Ml-rbf: RBF Neural Networks for Multi-Label Learning ML Zhang Neural Processing Letters 29, 61-74, 2009 | 247 | 2009 |
Solving the partial label learning problem: An instance-based approach. ML Zhang, F Yu IJCAI, 4048-4054, 2015 | 222 | 2015 |
Disambiguation-free partial label learning ML Zhang, F Yu, CZ Tang IEEE Transactions on Knowledge and Data Engineering 29 (10), 2155-2167, 2017 | 206 | 2017 |
Neural networks for multi-instance learning ZH Zhou, ML Zhang Proceedings of the International Conference on Intelligent Information …, 2002 | 192 | 2002 |
Towards class-imbalance aware multi-label learning ML Zhang, YK Li, H Yang, XY Liu IEEE Transactions on Cybernetics 52 (6), 4459-4471, 2020 | 181 | 2020 |
Solving multi-instance problems with classifier ensemble based on constructive clustering ZH Zhou, ML Zhang Knowledge and information systems 11, 155-170, 2007 | 179 | 2007 |
Maximum margin partial label learning F Yu, ML Zhang Machine Learning 106, 573–593, 2017 | 173 | 2017 |
Multi-instance clustering with applications to multi-instance prediction ML Zhang, ZH Zhou Applied intelligence 31, 47-68, 2009 | 168 | 2009 |
Partial label learning via feature-aware disambiguation ML Zhang, BB Zhou, XY Liu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 162 | 2016 |
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 | 140* | 2019 |