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Yuan-Hai Shao 0001
Yuanhai Shao 0001
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- affiliation: Hainan University, Management School, Haikou, China
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- Yuanhai Shao — disambiguation page
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2020 – today
- 2025
- [j108]Xiao-Jing Lv, Ling-Wei Huang, Yuan-Hai Shao:
Geometric relative margin machine for heterogeneous distribution and imbalanced classification. Inf. Sci. 689: 121430 (2025) - 2024
- [j107]M. Tanveer
, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie:
Comprehensive review on twin support vector machines. Ann. Oper. Res. 339(3): 1223-1268 (2024) - [j106]Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao
Regularized linear discriminant analysis based on generalized capped l2,q-norm. Ann. Oper. Res. 339(3): 1433-1459 (2024) - [j105]Ting-Ting Zhu, Chun-Na Li, Tian Liu, Yuan-Hai Shao:
Learning using granularity statistical invariants for classification. Appl. Intell. 54(8): 6667-6681 (2024) - [j104]Faxing Yu, Chunna Li
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data. Eng. Appl. Artif. Intell. 127(Part B): 107319 (2024) - [j103]Ling-Wei Huang, Yuan-Hai Shao
Large-scale robust regression with truncated loss via majorization-minimization algorithm. Eur. J. Oper. Res. 319(2): 494-504 (2024) - [j102]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen
Twin support vector quantile regression. Expert Syst. Appl. 237(Part A): 121239 (2024) - [j101]Wenze Shao, Yuan-Hai Shao, Chun-Na Li:
A novel regularization method for decorrelation learning of non-parallel hyperplanes. Inf. Sci. 667: 120461 (2024) - [j100]Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li:
A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance. J. Comput. Appl. Math. 437: 115471 (2024) - [j99]Huajun Wang
A new fast ADMM for kernelless SVM classifier with truncated fraction loss. Knowl. Based Syst. 283: 111214 (2024) - [j98]Chun-Na Li, Jiakou Liu, Yanhui Meng, Yuan-Hai Shao
Recursive universum linear discriminant analysis. Optim. Lett. 18(6): 1405-1419 (2024) - [j97]Huajun Wang
Fast generalized ramp loss support vector machine for pattern classification. Pattern Recognit. 146: 109987 (2024) - [j96]Zhen Wang
Generalization Memorization Machine with Zero Empirical Risk for Classification. Pattern Recognit. 152: 110469 (2024) - [j95]Chun-Na Li, Ling-Wei Huang, Yuan-Hai Shao
Feature selection by Universum embedding. Pattern Recognit. 153: 110514 (2024) - [j94]Chun-Na Li
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 2112-2124 (2024) - [j93]Huajun Wang
Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(7): 4151-4163 (2024) - [i21]Ting-Ting Zhu, Yuan-Hai Shao, Chun-Na Li, Tian Liu:
Learning using granularity statistical invariants for classification. CoRR abs/2403.20122 (2024) - 2023
- [j92]Jinsheng Yang
CNTS: Cooperative Network for Time Series. IEEE Access 11: 31941-31950 (2023) - [j91]Chun-Na Li
L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Access 11: 34250-34259 (2023) - [j90]Meng-Xian Zhu, Yuan-Hai Shao
Classification by Estimating the Cumulative Distribution Function for Small Data. IEEE Access 11: 41142-41157 (2023) - [j89]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Chun-Na Li
Capped norm linear discriminant analysis and its applications. Appl. Intell. 53(15): 18488-18507 (2023) - [j88]Huajun Wang, Yuanhai Shao:
Sparse and robust SVM classifier for large scale classification. Appl. Intell. 53(16): 19647-19671 (2023) - [j87]Chun-Na Li
Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. 136: 110129 (2023) - [j86]Jinsheng Yang, Yuan-Hai Shao
A multistage deep imputation framework for missing values large segment imputation with statistical metrics. Appl. Soft Comput. 146: 110654 (2023) - [j85]Yi-Fan Qi, Yuan-Hai Shao, Chun-Na Li, Yan-Ru Guo:
Locally finite distance clustering with discriminative information. Inf. Sci. 623: 607-632 (2023) - [j84]Xiang-Fei Yang, Dong-Lin Wang, Jia-Hang Pan, Chun-Na Li
Creating Universum for class imbalance via locality and its application in multiview subspace learning. Inf. Sci. 647: 119478 (2023) - [j83]Huajun Wang, Yuanhai Shao:
Fast truncated Huber loss SVM for large scale classification. Knowl. Based Syst. 260: 110074 (2023) - [j82]Yuan-Hai Shao, Xiao-Jing Lv, Ling-Wei Huang, Lan Bai:
Twin SVM for conditional probability estimation in binary and multiclass classification. Pattern Recognit. 136: 109253 (2023) - [i20]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li:
CNTS: Cooperative Network for Time Series. CoRR abs/2302.09800 (2023) - [i19]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen, Yuanhai Shao:
Twin support vector quantile regression. CoRR abs/2305.03894 (2023) - [i18]Shuai Wang, Zhen Wang, Yuan-Hai Shao:
Least Squares Maximum and Weighted Generalization-Memorization Machines. CoRR abs/2308.16456 (2023) - 2022
- [j81]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. Appl. Intell. 52(8): 8793-8809 (2022) - [j80]Lan Bai, Xu Chen
Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning. Appl. Soft Comput. 123: 108906 (2022) - [j79]Xiang-Fei Yang, Chun-Na Li, Yuan-Hai Shao:
Robust multi-view discriminant analysis with view-consistency. Inf. Sci. 596: 153-168 (2022) - [j78]Huajun Wang
Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. 16(3): 999-1014 (2022) - [j77]Huajun Wang
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7253-7265 (2022) - [j76]Lan Bai
Multiple Flat Projections for Cross-Manifold Clustering. IEEE Trans. Cybern. 52(8): 7704-7718 (2022) - [j75]Zhen Wang
Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints. IEEE Trans. Fuzzy Syst. 30(9): 3797-3811 (2022) - [c15]Wenwen Guo, Lv Yan, Jia-Yu Yin, Wang Zhen, Yuan-Hai Shao:
Fast support vector classifier with generalization-memorization kernel. ITQM 2022: 55-62 - [c14]Zhen-Qi Liu, Yuan-Hai Shao:
Learning using rebalanced statistical invariants for imbalanced classification. ITQM 2022: 203-211 - [i17]Ju Liu, Ling-Wei Huang, Yuan-Hai Shao, Wei-Jie Chen, Chun-Na Li:
Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss. CoRR abs/2203.00399 (2022) - [i16]Zhen Wang, Yuan-Hai Shao:
Generalization-Memorization Machines. CoRR abs/2207.03976 (2022) - [i15]Jinsheng Yang, Yuan-Hai Shao, Chun-Na Li, Wensi Wang:
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics. CoRR abs/2209.11766 (2022) - [i14]Meng-Xian Zhu, Yuan-Hai Shao:
Classification by estimating the cumulative distribution function for small data. CoRR abs/2210.05953 (2022) - 2021
- [j74]Xiang-Fei Yang
Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition. IEEE Access 9: 7690-7700 (2021) - [j73]Yibo Jiang, Wei-Jie Chen
MPMSVC: Multiple Parametric-Margin Support Vector Clustering. IEEE Access 9: 24499-24512 (2021) - [j72]Ming-Zeng Liu, Yuan-Hai Shao, Chun-Na Li, Wei-Jie Chen:
Smooth pinball loss nonparallel support vector machine for robust classification. Appl. Soft Comput. 98: 106840 (2021) - [j71]Ya-Fen Ye, Yuan-Hai Shao, Chunna Li
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110: 107560 (2021) - [j70]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Yuan-Hai Shao, Ya-Fen Ye, Cheng-zi Jiang:
Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification. Eng. Appl. Artif. Intell. 97: 104033 (2021) - [j69]Chun-Na Li, Yi-Fan Qi, Yuan-Hai Shao, Yan-Ru Guo, Ya-Fen Ye:
Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition. Eng. Appl. Artif. Intell. 104: 104367 (2021) - [j68]Chun-Na Li, Yuan-Hai Shao, Da Zhao, Yan-Ru Guo, Xiang-Yu Hua:
Feature selection for high-dimensional regression via sparse LSSVR based on Lp-norm. Int. J. Intell. Syst. 36(2): 1108-1130 (2021) - [j67]Shu-Wang Du, Ming-Chuan Zhang, Pei Chen, Hui-Feng Sun, Weijie Chen
A Multiclass Nonparallel Parametric-Margin Support Vector Machine. Inf. 12(12): 515 (2021) - [j66]Chun-Na Li, Yuan-Hai Shao
Generalized two-dimensional linear discriminant analysis with regularization. Neural Networks 142: 73-91 (2021) - [j65]Zhen Wang
General Plane-Based Clustering With Distribution Loss. IEEE Trans. Neural Networks Learn. Syst. 32(9): 3880-3893 (2021) - [c13]Meng-Xian Zhu, Xiao-Jing Lv, Weijie Chen, Chun-Na Li, Yuan-Hai Shao:
Local density peaks clustering with small size distance matrix. ITQM 2021: 331-338 - [c12]Shanshan Wang, Lan Bai, Xu Chen, Zhen Wang, Yuan-Hai Shao:
Divergent Projection Analysis for Unsupervised Dimensionality Reduction. ITQM 2021: 384-391 - [i13]Zhen Wang, Shan-Shan Wang, Lan Bai, Wensi Wang, Yuan-Hai Shao:
Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints. CoRR abs/2104.08546 (2021) - [i12]Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao:
Comprehensive Review On Twin Support Vector Machines. CoRR abs/2105.00336 (2021) - 2020
- [j64]Jun Zhang
Can the Exchange Rate Be Used to Predict the Shanghai Composite Index? IEEE Access 8: 2188-2199 (2020) - [j63]Wei-Jie Chen
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm. Appl. Soft Comput. 90: 106142 (2020) - [j62]Chun-Na Li, Pei-Wei Ren, Yuan-Hai Shao, Ya-Fen Ye, Yan-Ru Guo:
Generalized elastic net Lp-norm nonparallel support vector machine. Eng. Appl. Artif. Intell. 88 (2020) - [j61]Wei-Jie Chen
ν-projection twin support vector machine for pattern classification. Neurocomputing 376: 10-24 (2020) - [j60]Zhen Wang, Xu Chen
Ramp-based twin support vector clustering. Neural Comput. Appl. 32(14): 9885-9896 (2020) - [j59]Chun-Na Li
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers. IEEE Trans. Neural Networks Learn. Syst. 31(3): 915-926 (2020) - [i11]Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng:
Multiple Flat Projections for Cross-manifold Clustering. CoRR abs/2002.06739 (2020) - [i10]Xiang-Fei Yang, Yuan-Hai Shao, Chun-Na Li, Li-Ming Liu, Nai-Yang Deng:
Principal Component Analysis Based on T𝓁1-norm Maximization. CoRR abs/2005.12263 (2020) - [i9]Jiakou Liu, Xiong Xiong, Pei-Wei Ren, Da Zhao, Chun-Na Li, Yuan-Hai Shao:
Capped norm linear discriminant analysis and its applications. CoRR abs/2011.02147 (2020) - [i8]Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Lan Bai, Yuan-Hai Shao:
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications. CoRR abs/2011.05507 (2020)
2010 – 2019
- 2019
- [j58]Wei-Jie Chen
A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification. IEEE Access 7: 47171-47184 (2019) - [j57]Ling-Wei Huang, Yuan-Hai Shao
Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification. IEEE Access 7: 65390-65404 (2019) - [j56]Chun-Na Li
Robust k-subspace discriminant clustering. Appl. Soft Comput. 85 (2019) - [j55]Chun-Na Li, Meng-Qi Shang, Yuan-Hai Shao
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization. Neurocomputing 337: 80-96 (2019) - [j54]Chun-Na Li
Robust bilateral Lp-norm two-dimensional linear discriminant analysis. Inf. Sci. 500: 274-297 (2019) - [j53]Lan Bai, Yuan-Hai Shao, Zhen Wang, Chun-Na Li:
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding. Knowl. Based Syst. 163: 227-240 (2019) - [j52]Wei-Jie Chen
2DRLPP: Robust two-dimensional locality preserving projection with regularization. Knowl. Based Syst. 169: 53-66 (2019) - [j51]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng, Zhi-Min Yang:
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm. Knowl. Based Syst. 183 (2019) - [j50]Yuan-Hai Shao, Chun-Na Li, Ling-Wei Huang, Zhen Wang, Nai-Yang Deng, Yan Xu:
Joint sample and feature selection via sparse primal and dual LSSVM. Knowl. Based Syst. 185 (2019) - [i7]Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu:
A general model for plane-based clustering with loss function. CoRR abs/1901.09178 (2019) - [i6]Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng:
Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR abs/1910.09734 (2019) - [i5]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou
Support Vector Machine Classifier via L0/1 Soft-Margin Loss. CoRR abs/1912.07418 (2019) - 2018
- [j49]Xiao-Quan Sun, Yi-Jian Chen, Yuan-Hai Shao, Chun-Na Li
Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization. IEEE Access 6: 20334-20347 (2018) - [j48]Lan Bai, Zhen Wang
Reversible Discriminant Analysis. IEEE Access 6: 72551-72562 (2018) - [j47]Wei-Jie Chen
Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm. Neurocomputing 315: 345-361 (2018) - [j46]Zhen Wang
Insensitive stochastic gradient twin support vector machines for large scale problems. Inf. Sci. 462: 114-131 (2018) - [j45]Ming-Zeng Liu, Yuan-Hai Shao
Minimum deviation distribution machine for large scale regression. Knowl. Based Syst. 146: 167-180 (2018) - [j44]Yuan-Hai Shao
Sparse Lq-norm least squares support vector machine with feature selection. Pattern Recognit. 78: 167-181 (2018) - [i4]Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Nai-Yang Deng:
Generalized two-dimensional linear discriminant analysis with regularization. CoRR abs/1801.07426 (2018) - [i3]Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm. CoRR abs/1811.02384 (2018) - [i2]Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao:
Ramp-based Twin Support Vector Clustering. CoRR abs/1812.03710 (2018) - 2017
- [j43]Ya-Fen Ye, Yuan-Hai Shao
Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017) - [j42]Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen:
Robust and Sparse LP-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 21(6): 989-997 (2017) - [j41]Li-Ming Liu, Yan-Ru Guo, Zhen Wang, Zhi-Min Yang, Yuan-Hai Shao:
k-Proximal plane clustering. Int. J. Mach. Learn. Cybern. 8(5): 1537-1554 (2017) - [j40]Chun-Na Li, Zeng-Rong Zheng, Ming-Zeng Liu, Yuan-Hai Shao
Robust recursive absolute value inequalities discriminant analysis with sparseness. Neural Networks 93: 205-218 (2017) - [c11]Chen Wang, Chun-Na Li, Hua-Xin Pei, Yan-Ru Guo, Yuan-Hai Shao:
Alternating Direction Method of Multipliers for L1- and L2-norm Best Fitting Hyperplane Classifier. ICCS 2017: 1292-1301 - [c10]Hua-Xin Pei, Zeng-Rong Zheng, Chen Wang, Chun-Na Li, Yuan-Hai Shao:
D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation. ITQM 2017: 407-414 - [i1]Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng:
Stochastic Gradient Twin Support Vector Machine for Large Scale Problems. CoRR abs/1704.05596 (2017) - 2016
- [j39]Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao
A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing 171: 649-663 (2016) - [j38]Muhammad Tanveer
One norm linear programming support vector regression. Neurocomputing 173: 1508-1518 (2016) - [j37]Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197: 53-68 (2016) - [j36]Yuan-Hai Shao
Extensive semi-quantitative regression. Neurocomputing 218: 26-36 (2016) - [j35]Zhen Wang
MBLDA: A novel multiple between-class linear discriminant analysis. Inf. Sci. 369: 199-220 (2016) - [j34]Zhi-Min Yang, He-Ji Wu, Chun-Na Li, Yuan-Hai Shao:
Least squares recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 7(3): 411-426 (2016) - [j33]Chun-Na Li, Yun-Feng Huang, He-Ji Wu, Yuan-Hai Shao, Zhi-Min Yang:
Multiple recursive projection twin support vector machine for multi-class classification. Int. J. Mach. Learn. Cybern. 7(5): 729-740 (2016) - [j32]Wei-Jie Chen
MLTSVM: A novel twin support vector machine to multi-label learning. Pattern Recognit. 52: 61-74 (2016) - 2015
- [j31]Yuan-Hai Shao, Xiang-Yu Hua, Li-Ming Liu, Zhi-Min Yang, Nai-Yang Deng:
Combined outputs framework for twin support vector machines. Appl. Intell. 43(2): 424-438 (2015) - [j30]Yuan-Hai Shao, Wei-Jie Chen
Laplacian unit-hyperplane learning from positive and unlabeled examples. Inf. Sci. 314: 152-168 (2015) - [j29]Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li:
Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression. J. Adv. Comput. Intell. Intell. Informatics 19(3): 397-406 (2015) - [j28]Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li:
Wavelet Lp-Norm Support Vector Regression with Feature Selection. J. Adv. Comput. Intell. Intell. Informatics 19(3): 407-416 (2015) - [j27]Yuan-Hai Shao, Nai-Yang Deng:
The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense. J. Optim. Theory Appl. 166(1): 278-284 (2015) - [j26]Yuan-Hai Shao, Wei-Jie Chen
Weighted linear loss twin support vector machine for large-scale classification. Knowl. Based Syst. 73: 276-288 (2015) - [j25]Zhi-Min Yang, Yan-Ru Guo, Chun-Na Li, Yuan-Hai Shao:
Local k-proximal plane clustering. Neural Comput. Appl. 26(1): 199-211 (2015) - [j24]Chun-Na Li, Yuan-Hai Shao
Robust L1-norm two-dimensional linear discriminant analysis. Neural Networks 65: 92-104 (2015) - [j23]Zhen Wang
Twin Support Vector Machine for Clustering. IEEE Trans. Neural Networks Learn. Syst. 26(10): 2583-2588 (2015) - [c9]Yuan-Hai Shao, Zhen Wang, Chun-Na Li, Nai-Yang Deng:
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem. ICDM Workshops 2015: 1163-1170 - [c8]Xiang-Yu Hua, Zhi-Min Yang, Ya-Fen Ye, Yuan-Hai Shao:
A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression. ITQM 2015: 944-952 - 2014
- [j22]Wei-Jie Chen
Manifold proximal support vector machine for semi-supervised classification. Appl. Intell. 40(4): 623-638 (2014) - [j21]Yuan-Hai Shao
A proximal classifier with positive and negative local regions. Neurocomputing 145: 131-139 (2014) - [j20]Wei-Jie Chen
Laplacian least squares twin support vector machine for semi-supervised classification. Neurocomputing 145: 465-476 (2014) - [j19]Yuan-Hai Shao, Wei-Jie Chen
Nonparallel hyperplane support vector machine for binary classification problems. Inf. Sci. 263: 22-35 (2014) - [j18]Lan Bai, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng:
A novel feature selection method for twin support vector machine. Knowl. Based Syst. 59: 1-8 (2014) - [j17]Wei-Jie Chen
Laplacian smooth twin support vector machine for semi-supervised classification. Int. J. Mach. Learn. Cybern. 5(3): 459-468 (2014) - [j16]Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu:
Proximal parametric-margin support vector classifier and its applications. Neural Comput. Appl. 24(3-4): 755-764 (2014) - [j15]Yuan-Hai Shao
An efficient weighted Lagrangian twin support vector machine for imbalanced data classification. Pattern Recognit. 47(9): 3158-3167 (2014) - [c7]Yuan-Hai Shao, Chun-Na Li, Zhen Wang, Ming-Zeng Liu, Nai-Yang Deng:
Proximal Classifier via Absolute Value Inequalities. ICDM Workshops 2014: 74-79 - [c6]Yuan-Hai Shao, Zhen Wang, Zhi-Min Yang, Nai-Yang Deng:
Weighted Linear Loss Support Vector Machine for Large Scale Problems. ITQM 2014: 639-647 - 2013
- [j14]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen
Least squares twin parametric-margin support vector machine for classification. Appl. Intell. 39(3): 451-464 (2013) - [j13]Wei-Jie Chen
Ensemble learning for generalised eigenvalues proximal support vector machines. Int. J. Comput. Appl. Technol. 47(2/3): 273-279 (2013) - [j12]Yuan-Hai Shao, Zhen Wang, Wei-Jie Chen
A regularization for the projection twin support vector machine. Knowl. Based Syst. 37: 203-210 (2013) - [j11]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
A proximal classifier with consistency. Knowl. Based Syst. 49: 171-178 (2013) - [j10]Yuan-Hai Shao, Nai-Yang Deng:
A novel margin-based twin support vector machine with unity norm hyperplanes. Neural Comput. Appl. 22(7-8): 1627-1635 (2013) - [j9]Zhixia Yang, Yuan-Hai Shao, Xiang-Sun Zhang:
Multiple birth support vector machine for multi-class classification. Neural Comput. Appl. 22(Supplement-1): 153-161 (2013) - [j8]Yuan-Hai Shao, Chunhua Zhang, Zhi-Min Yang, Ling Jing, Nai-Yang Deng:
An ε-twin support vector machine for regression. Neural Comput. Appl. 23(1): 175-185 (2013) - [j7]Chunhua Zhang, Yuan-Hai Shao, Junyan Tan, Naiyang Deng:
Mixed-norm linear support vector machine. Neural Comput. Appl. 23(7-8): 2159-2166 (2013) - [j6]Zhen Wang, Yuan-Hai Shao, Tie-Ru Wu:
A GA-based model selection for smooth twin parametric-margin support vector machine. Pattern Recognit. 46(8): 2267-2277 (2013) - [j5]Yuan-Hai Shao, Nai-Yang Deng, Wei-Jie Chen
Improved Generalized Eigenvalue Proximal Support Vector Machine. IEEE Signal Process. Lett. 20(3): 213-216 (2013) - [c5]Wei-Jie Chen
Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. ITQM 2013: 33-40 - [c4]Yuan-Hai Shao, Lan Bai, Zhen Wang, Xiang-Yu Hua, Nai-Yang Deng:
Proximal Plane Clustering via Eigenvalues. ITQM 2013: 41-47 - [c3]Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao:
Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression. ITQM 2013: 514-522 - [c2]Yuan-Hai Shao, Wei-Jie Chen
The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification. ITQM 2013: 1032-1038 - [c1]Zhi-Min Yang, Jun-Yun He, Yuan-Hai Shao:
Feature Selection Based On Linear Twin Support Vector Machines. ITQM 2013: 1039-1046 - 2012
- [j4]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang, Wei-Jie Chen
Probabilistic outputs for twin support vector machines. Knowl. Based Syst. 33: 145-151 (2012) - [j3]Yuan-Hai Shao, Nai-Yang Deng:
A coordinate descent margin based-twin support vector machine for classification. Neural Networks 25: 114-121 (2012) - [j2]Yuan-Hai Shao, Nai-Yang Deng, Zhi-Min Yang:
Least squares recursive projection twin support vector machine for classification. Pattern Recognit. 45(6): 2299-2307 (2012) - 2011
- [j1]Yuan-Hai Shao, Chunhua Zhang, Xiao-Bo Wang, Nai-Yang Deng:
Improvements on Twin Support Vector Machines. IEEE Trans. Neural Networks 22(6): 962-968 (2011)
Coauthor Index
Naiyang Deng
aka: Nai-Yang Deng
aka: Nai-Yang Deng
[j106] [j105] [j104] [j103] [j101] [j100] [j98] [j95] [j94] [i21] [j92] [j91] [j89] [j87] [j86] [j85] [j84] [i20] [j81] [j79] [i17] [i15] [j72] [j71] [j70] [j69] [j68] [j66] [j65] [c13] [j63] [j62] [j61] [j60] [j59] [i10] [i9] [i8] [j56] [j55] [j54] [j53] [j52] [j51] [j50] [i7] [i6] [j49] [j48] [j47] [j46] [j45] [j44] [i4] [i3] [i2] [j43] [j42] [j40] [c11] [c10] [j35] [j34] [j33] [j32] [j29] [j28] [j26] [j25] [j24] [c9] [c7]
Ya-Fen Ye
aka: Yafen Ye
aka: Yafen Ye
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Unpaywalled article links
Add open access links from to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
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load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from .
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last updated on 2024-09-26 23:42 CEST by the dblp team
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