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2020 – today
- 2024
[j15]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)- [j14]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen, Yuanhai Shao:
Twin support vector quantile regression. Expert Syst. Appl. 237(Part A): 121239 (2024) - 2023
- [i1]Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen, Yuanhai Shao:
Twin support vector quantile regression. CoRR abs/2305.03894 (2023) - 2022
- [j13]Kejia Xu, Ying Xu, Yafen Ye, Weijie Chen:
Novel Feature Selection Method for Nonlinear Support Vector Regression. Complex. 2022: 4740173:1-4740173:13 (2022) - 2021
- [j12]Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo:
Online support vector quantile regression for the dynamic time series with heavy-tailed noise. Appl. Soft Comput. 110: 107560 (2021) - [j11]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) - [j10]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) - 2020
- [j9]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)
2010 – 2019
- 2017
- [j8]Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua:
Robust Lp-norm least squares support vector regression with feature selection. Appl. Math. Comput. 305: 32-52 (2017) - [j7]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) - [j6]Ya-Fen Ye, Chao Ying, Yue-Xiang Jiang, Chun-Na Li:
L1-Norm Least Squares Support Vector Regression via the Alternating Direction Method of Multipliers. J. Adv. Comput. Intell. Intell. Informatics 21(6): 1017-1025 (2017) - 2016
- [j5]Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye:
A novel parametric-insensitive nonparallel support vector machine for regression. Neurocomputing 171: 649-663 (2016) - [j4]Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng:
Weighted Lagrange ε-twin support vector regression. Neurocomputing 197: 53-68 (2016) - [j3]Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng:
Extensive semi-quantitative regression. Neurocomputing 218: 26-36 (2016) - 2015
- [j2]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) - [j1]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) - [c3]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 - 2013
- [c2]Wei-Jie Chen, Yuan-Hai Shao, Ya-Fen Ye:
Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution. ITQM 2013: 33-40 - [c1]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
Coauthor Index
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