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Zhiji Yang
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2020 – today
- 2024
- [j17]Jianhua Zhao
, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang:
Matrix-based vs. vector-based linear discriminant analysis: A comparison of regularized variants on multivariate time series data. Inf. Sci. 654: 119872 (2024) - [j16]Zhiji Yang
, Wanyi Chen, Huan Zhang, Yitian Xu
, Lei Shi
, Jianhua Zhao
:
A safe screening rule with bi-level optimization of ν support vector machine. Pattern Recognit. 155: 110644 (2024) - [i2]Zhiji Yang, Wanyi Chen, Huan Zhang, Yitian Xu, Lei Shi, Jianhua Zhao:
A Safe Screening Rule with Bi-level Optimization of ν Support Vector Machine. CoRR abs/2403.01769 (2024) - 2023
- [j15]Renxue Jiang, Zhiji Yang
, Jianhua Zhao
:
A Complete Deep Support Vector Data Description for One Class Learning. IEEE Access 11: 117494-117507 (2023) - 2022
- [c2]Wenmin Liu, Xingkai Wen, Yishan Qian, Zhiji Yang:
Machine learning method to explore the process conditions of ethanol catalytic coupling to prepare C4 olefins. CAIBDA 2022: 1-6 - [c1]Mingchen Li, Zhiji Yang:
Deep Twin Support Vector Networks. CICAI (3) 2022: 94-106 - [i1]Jianhua Zhao, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang:
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data. CoRR abs/2202.13188 (2022)
2010 – 2019
- 2019
- [j14]Yitian Xu, Yuqun Zhang, Jiang Zhao, Zhiji Yang, Xianli Pan:
KNN-based maximum margin and minimum volume hyper-sphere machine for imbalanced data classification. Int. J. Mach. Learn. Cybern. 10(2): 357-368 (2019) - 2018
- [j13]Zhiji Yang, Yitian Xu:
A safe screening rule for Laplacian support vector machine. Eng. Appl. Artif. Intell. 67: 309-316 (2018) - [j12]Zhiji Yang, Yitian Xu:
A safe accelerative approach for pinball support vector machine classifier. Knowl. Based Syst. 147: 12-24 (2018) - [j11]Zhiji Yang, Xianli Pan, Yitian Xu:
Piecewise linear solution path for pinball twin support vector machine. Knowl. Based Syst. 160: 311-324 (2018) - [j10]Yitian Xu, Xiaoyan Li, Xianli Pan, Zhiji Yang:
Asymmetric ν-twin support vector regression. Neural Comput. Appl. 30(12): 3799-3814 (2018) - [j9]Zhiji Yang, Yitian Xu:
A safe sample screening rule for Laplacian twin parametric-margin support vector machine. Pattern Recognit. 84: 1-12 (2018) - [j8]Xianli Pan, Zhiji Yang, Yitian Xu
, Laisheng Wang:
Safe Screening Rules for Accelerating Twin Support Vector Machine Classification. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1876-1887 (2018) - 2017
- [j7]Yitian Xu, Zhiji Yang, Xianli Pan:
A Novel Twin Support-Vector Machine With Pinball Loss. IEEE Trans. Neural Networks Learn. Syst. 28(2): 359-370 (2017) - 2016
- [j6]Yitian Xu, Mei Chen, Zhiji Yang, Guohui Li:
ν-twin support vector machine with Universum data for classification. Appl. Intell. 44(4): 956-968 (2016) - [j5]Jiang Zhao, Zhiji Yang, Yitian Xu:
Nonparallel least square support vector machine for classification. Appl. Intell. 45(4): 1119-1128 (2016) - [j4]Zhiji Yang, Yitian Xu:
Laplacian twin parametric-margin support vector machine for semi-supervised classification. Neurocomputing 171: 325-334 (2016) - [j3]Yitian Xu, Zhiji Yang, Yuqun Zhang, Xianli Pan, Laisheng Wang:
A maximum margin and minimum volume hyper-spheres machine with pinball loss for imbalanced data classification. Knowl. Based Syst. 95: 75-85 (2016) - 2015
- [j2]Yitian Xu, Xianli Pan, Zhijian Zhou, Zhiji Yang, Yuqun Zhang:
Structural least square twin support vector machine for classification. Appl. Intell. 42(3): 527-536 (2015) - [j1]Yitian Xu, Yuqun Zhang, Zhiji Yang, Xianli Pan, Guohui Li:
Imbalanced and semi-supervised classification for prognosis of ACLF. J. Intell. Fuzzy Syst. 28(2): 737-745 (2015)
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