Ya-Fen Ye

According to our database, Ya-Fen Ye authored at least 18 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

Regularized linear discriminant analysis based on generalized capped l_2,q-norm.

Chun-Na Li, Pei-Wei Ren, Yan-Ru Guo, Ya-Fen Ye, Yuan-Hai Shao

Ann. Oper. Res., August, 2024

Twin support vector quantile regression.

Yafen Ye, Zhihu Xu, Jinhua Zhang, Weijie Chen, Yuanhai Shao

Expert Syst. Appl., March, 2024

2022

Novel Feature Selection Method for Nonlinear Support Vector Regression.

Kejia Xu, Ying Xu, Yafen Ye, Weijie Chen

Complex., 2022

2021

Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition.

Chun-Na Li, Yi-Fan Qi, Yuan-Hai Shao, Yan-Ru Guo, Ya-Fen Ye

Eng. Appl. Artif. Intell., 2021

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification.

Yan-Ru Guo, Yan-Qin Bai, Chun-Na Li, Yuan-Hai Shao, Ya-Fen Ye, Cheng-zi Jiang

Eng. Appl. Artif. Intell., 2021

Online support vector quantile regression for the dynamic time series with heavy-tailed noise.

Ya-Fen Ye, Yuan-Hai Shao, Chunna Li, Xiang-Yu Hua, Yan-Ru Guo

Appl. Soft Comput., 2021

2020

Generalized elastic net Lp-norm nonparallel support vector machine.

Chun-Na Li, Pei-Wei Ren, Yuan-Hai Shao, Ya-Fen Ye, Yan-Ru Guo

Eng. Appl. Artif. Intell., 2020

2017

Robust and Sparse <i>L_P</i>-Norm Support Vector Regression.

Ya-Fen Ye, Chao Ying, Yuan-Hai Shao, Chun-Na Li, Yu-Juan Chen

J. Adv. Comput. Intell. Intell. Informatics, 2017

L₁-Norm Least Squares Support Vector Regression via the Alternating Direction Method of Multipliers.

Ya-Fen Ye, Chao Ying, Yue-Xiang Jiang, Chun-Na Li

J. Adv. Comput. Intell. Intell. Informatics, 2017

Robust L_p-norm least squares support vector regression with feature selection.

Ya-Fen Ye, Yuan-Hai Shao, Nai-Yang Deng, Chun-Na Li, Xiang-Yu Hua

Appl. Math. Comput., 2017

2016

Weighted Lagrange ε-twin support vector regression.

Ya-Fen Ye, Lan Bai, Xiang-Yu Hua, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng

Neurocomputing, 2016

A novel parametric-insensitive nonparallel support vector machine for regression.

Zhi-Min Yang, Xiang-Yu Hua, Yuan-Hai Shao, Ya-Fen Ye

Neurocomputing, 2016

Extensive semi-quantitative regression.

Yuan-Hai Shao, Ya-Fen Ye, Yong-Cui Wang, Nai-Yang Deng

Neurocomputing, 2016

2015

Wavelet <i>L_p</i>-Norm Support Vector Regression with Feature Selection.

Ya-Fen Ye, Yuan-Hai Shao, Chun-Na Li

J. Adv. Comput. Intell. Intell. Informatics, 2015

Financial Conditions Index Construction Through Weighted <i>L_p</i>-Norm Support Vector Regression.

Ya-Fen Ye, Yue-Xiang Jiang, Yuan-Hai Shao, Chun-Na Li

J. Adv. Comput. Intell. Intell. Informatics, 2015

A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression.

Xiang-Yu Hua, Zhi-Min Yang, Ya-Fen Ye, Yuan-Hai Shao

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2013

Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression.

Ya-Fen Ye, Hui Cao, Lan Bai, Zhen Wang, Yuan-Hai Shao

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution.

Wei-Jie Chen, Yuan-Hai Shao, Ya-Fen Ye

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013