An efficient weighted Lagrangian twin support vector machine for imbalanced data classification YH Shao, WJ Chen, JJ Zhang, Z Wang, NY Deng Pattern Recognition 47 (9), 3158-3167, 2014 | 179 | 2014 |
Nonparallel hyperplane support vector machine for binary classification problems YH Shao, WJ Chen, NY Deng Information Sciences 263, 22-35, 2014 | 172 | 2014 |
MLTSVM: A novel twin support vector machine to multi-label learning WJ Chen, YH Shao, CN Li, NY Deng Pattern Recognition 52, 61-74, 2016 | 146 | 2016 |
A regularization for the projection twin support vector machine YH Shao, Z Wang, WJ Chen, NY Deng Knowledge-Based Systems 37, 203-210, 2013 | 114 | 2013 |
Weighted linear loss twin support vector machine for large-scale classification YH Shao, WJ Chen, Z Wang, CN Li, NY Deng Knowledge-Based Systems 73, 276-288, 2015 | 90 | 2015 |
Laplacian smooth twin support vector machine for semi-supervised classification WJ Chen, YH Shao, N Hong International Journal of Machine Learning and Cybernetics 5 (3), 459–468, 2014 | 80 | 2014 |
Improved generalized eigenvalue proximal support vector machine YH Shao, NY Deng, WJ Chen, Z Wang IEEE Signal Processing Letters 20 (3), 213-216, 2013 | 74 | 2013 |
Laplacian least squares twin support vector machine for semi-supervised classification WJ Chen, YH Shao, NY Deng, ZL Feng Neurocomputing 145, 465-476, 2014 | 54 | 2014 |
Probabilistic outputs for twin support vector machines YH Shao, NY Deng, ZM Yang, WJ Chen, Z Wang Knowledge-Based Systems, 2012 | 53 | 2012 |
The best separating decision tree twin support vector machine for multi-class classification YH Shao, WJ Chen, WB Huang, ZM Yang, NY Deng Procedia Computer Science 17, 1032-1038, 2013 | 49 | 2013 |
Least squares twin parametric-margin support vector machine for classification YH Shao, Z Wang, WJ Chen, NY Deng Applied Intelligence 39, 451-464, 2013 | 46 | 2013 |
Large margin partial label machine J Chai, IW Tsang, W Chen IEEE Transactions on Neural Networks and Learning Systems 31 (7), 2594-2608, 2019 | 45 | 2019 |
Manifold proximal support vector machine for semi-supervised classification WJ Chen, YH Shao, DK Xu, YF Fu Applied Intelligence 40 (4), 623-638, 2014 | 43 | 2014 |
Smooth pinball loss nonparallel support vector machine for robust classification MZ Liu, YH Shao, CN Li, WJ Chen Applied Soft Computing 98, 106840, 2021 | 40 | 2021 |
A proximal classifier with consistency YH Shao, NY Deng, WJ Chen Knowledge-Based Systems 49, 171-178, 2013 | 35 | 2013 |
Generalized two-dimensional linear discriminant analysis with regularization CN Li, YH Shao, WJ Chen, Z Wang, NY Deng Neural Networks 142, 73-91, 2021 | 32 | 2021 |
Laplacian unit-hyperplane learning from positive and unlabeled examples YH Shao, WJ Chen, LM Liu, NY Deng Information Sciences 314, 152-168, 2015 | 26 | 2015 |
Volatility forecasting using deep neural network with time-series feature embedding WJ Chen, JJ Yao, YH Shao Economic research-Ekonomska istraživanja 36 (1), 1377-1401, 2023 | 25 | 2023 |
ν-projection twin support vector machine for pattern classification WJ Chen, YH Shao, CN Li, MZ Liu, Z Wang, NY Deng Neurocomputing 376, 10-24, 2020 | 22 | 2020 |
SOBP: a sender-designated opportunistic broadcast protocol for VANET G Li, W Wang, X Yao, W Chen Telecommunication Systems 53, 453-467, 2013 | 17 | 2013 |