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2020 – today
- 2024
[j9]Zhenxia Xue
, Chongning Zhao, Shuqing Wei, Jun Ma, Shouhe Lin:
Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification. Appl. Intell. 54(13-14): 7352-7376 (2024)- [j8]Zhenxia Xue, Yan Wang, Yuwen Ren, Xinyuan Zhang:
The Robust Supervised Learning Framework: Harmonious Integration of Twin Extreme Learning Machine, Squared Fractional Loss, Capped L2,p-norm Metric, and Fisher Regularization. Symmetry 16(9): 1230 (2024) - 2023
- [j7]Zhenxia Xue, Linchao Cai:
Robust Fisher-Regularized Twin Extreme Learning Machine with Capped L1-Norm for Classification. Axioms 12(7): 717 (2023) - [j6]Yang Yang, Zhenxia Xue, Jun Ma, Xia Chang:
Robust projection twin extreme learning machines with capped L1-norm distance metric. Neurocomputing 517: 229-242 (2023) - 2020
- [j5]Zhenxia Xue, Roxin Zhang, Chuandong Qin, Xiaoqing Zeng:
An adaptive twin support vector regression machine based on rough and fuzzy set theories. Neural Comput. Appl. 32(9): 4709-4732 (2020)
2010 – 2019
- 2018
- [j4]Zhenxia Xue, Roxin Zhang, Chuandong Qin, Xiaoqing Zeng:
A rough ν-twin support vector regression machine. Appl. Intell. 48(11): 4023-4046 (2018) - 2017
- [j3]Chuandong Qin, Zhenxia Xue, Quanxi Feng, Xiaoyang Huang:
Selecting Parameters of an Improved Doubly Regularized Support Vector Machine based on Chaotic Particle Swarm Optimization Algorithm. J. Univers. Comput. Sci. 23(7): 603-618 (2017) - 2015
- [j2]Zhuliang Yu, Bao Feng, Zhenghui Gu, Zhenxia Xue, Yuanqing Li, Cong Wang:
Voxel selection and neural decoding of fMRI data based on robust sparse programming with multi-dimensional derivative constraints. Multidimens. Syst. Signal Process. 26(1): 225-241 (2015) - 2012
- [c3]Zhenxia Xue, Juan Luo, Wanli Liu:
QP Representable Mahalanobis Ellipsoidal Learning Machine for Imbalanced Data Classification. CSO 2012: 316-319 - [c2]Zhenxia Xue, Wanli Liu:
A fuzzy rough support vector regression machine. FSKD 2012: 840-844 - 2010
- [j1]Zhenxia Xue, Youlin Shang, Aifen Feng:
Semi-supervised outlier detection based on fuzzy rough C-means clustering. Math. Comput. Simul. 80(9): 1911-1921 (2010)
2000 – 2009
- 2009
- [c1]Zhenxia Xue, Sanyang Liu:
Rough-Based Semi-supervised Outlier Detection. FSKD (1) 2009: 520-523
Coauthor Index
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