Yuan-Hai Shao

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Chun-Na LiHainan UniversityAdresă de e-mail confirmată pe hainanu.edu.cn
Wei-Jie ChenZhejiang University of TechnologyAdresă de e-mail confirmată pe zjut.edu.cn
Xiang-Yu HuaZhejiang University of Science and TechnologyAdresă de e-mail confirmată pe zust.edu.cn
M. Tanveer, IEEE CIS Distinguished L...Professor and Ramanujan Fellow, IIT Indore (Some codes are available at GitHub.)Adresă de e-mail confirmată pe iiti.ac.in
Xiang-Sun ZhangAcademy of Mathematics and Systems Science, Chinese Academy of Sciences Adresă de e-mail confirmată pe amt.ac.cn
Ying-Jie TianUniversity of Chinese Academy of SciencesAdresă de e-mail confirmată pe ucas.ac.cn
zhiquan qi, 齐志泉University of Chinese Academy of SciencesAdresă de e-mail confirmată pe ucas.ac.cn
Zhen WangPhD student, Jilin university, ChinaAdresă de e-mail confirmată pe mails.jlu.edu.cn
Wotao YinDAMO Academy, Alibaba Group USAdresă de e-mail confirmată pe alibaba-inc.com

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Yuan-Hai Shao

Hainan University

Adresă de e-mail confirmată pe hainanu.edu.cn - Pagina de pornire

Data Mining Machine Learning Optimization Support Vector Machines


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Improvements on twin support vector machines YH Shao, CH Zhang, XB Wang, NY Deng IEEE transactions on neural networks 22 (6), 962-968, 2011	624	2011
Comprehensive review on twin support vector machines M Tanveer, T Rajani, R Rastogi, YH Shao, MA Ganaie Annals of Operations Research 339 (3), 1223-1268, 2024	233	2024
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	184	2014
Nonparallel hyperplane support vector machine for binary classification problems YH Shao, WJ Chen, NY Deng Information Sciences 263, 22-35, 2014	177	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	163	2016
Least squares recursive projection twin support vector machine for classification YH Shao, NY Deng, ZM Yang Pattern Recognition 45 (6), 2299-2307, 2012	154	2012
An ε-twin support vector machine for regression YH Shao, CH Zhang, ZM Yang, L Jing, NY Deng Neural Computing and Applications 23, 175-185, 2013	150	2013
Support Vector Machine Classifier via Soft-Margin Loss H Wang, Y Shao, S Zhou, C Zhang, N Xiu IEEE transactions on pattern analysis and machine intelligence 44 (10), 7253 …, 2021	128	2021
Twin support vector machine for clustering Z Wang, YH Shao, L Bai, NY Deng IEEE transactions on neural networks and learning systems 26 (10), 2583-2588, 2015	119	2015
A regularization for the projection twin support vector machine YH Shao, Z Wang, WJ Chen, NY Deng Knowledge-Based Systems 37, 203-210, 2013	116	2013
A coordinate descent margin based-twin support vector machine for classification YH Shao, NY Deng Neural networks 25, 114-121, 2012	111	2012
Robust L1-norm two-dimensional linear discriminant analysis CN Li, YH Shao, NY Deng Neural Networks 65, 92-104, 2015	103	2015
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	92	2015
Multiple birth support vector machine for multi-class classification ZX Yang, YH Shao, XS Zhang Neural Computing & Applications, 1-9, 2012	89	2012
Laplacian smooth twin support vector machine for semi-supervised classification WJ Chen, YH Shao, N Hong International Journal of Machine Learning and Cybernetics 5, 459-468, 2014	81	2014
Improved generalized eigenvalue proximal support vector machine YH Shao, NY Deng, WJ Chen, Z Wang IEEE signal processing letters 20 (3), 213-216, 2012	81	2012
Robust and sparse linear discriminant analysis via an alternating direction method of multipliers CN Li, YH Shao, W Yin, MZ Liu IEEE transactions on neural networks and learning systems 31 (3), 915-926, 2019	79	2019
A GA-based model selection for smooth twin parametric-margin support vector machine Z Wang, YH Shao, TR Wu Pattern Recognition 46 (8), 2267-2277, 2013	77	2013
Robust L1-norm non-parallel proximal support vector machine CN Li, YH Shao, NY Deng Optimization 65 (1), 169-183, 2016	65	2016
Laplacian least squares twin support vector machine for semi-supervised classification WJ Chen, YH Shao, NY Deng, ZL Feng Neurocomputing 145, 465-476, 2014	63	2014

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