Rough-Based Semi-supervised Outlier Detection. - Zhenxia Xue; Sanyang Liu (FSKD (1), 2009)

Semi-supervised outlier detection based on fuzzy rough C-means clustering. - Zhenxia Xue; Youlin Shang; Aifen Feng (Math. Comput. Simul., 2010)

QP Representable Mahalanobis Ellipsoidal Learning Machine for Imbalanced Data Classification. - Zhenxia Xue; Juan Luo; Wanli Liu (CSO, 2012)

A fuzzy rough support vector regression machine. - Zhenxia Xue; Wanli Liu (FSKD, 2012)

Voxel selection and neural decoding of fMRI data based on robust sparse programming with multi-dimensional derivative constraints. - Zhuliang Yu; Bao Feng; Zhenghui Gu; Zhenxia Xue; Yuanqing Li 001; Cong Wang 007 (Multidimens. Syst. Signal Process., 2015)

Selecting Parameters of an Improved Doubly Regularized Support Vector Machine based on Chaotic Particle Swarm Optimization Algorithm. - Chuandong Qin; Zhenxia Xue; Quanxi Feng; Xiaoyang Huang (J. Univers. Comput. Sci., 2017)

A rough ν-twin support vector regression machine. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Appl. Intell., 2018)

An adaptive twin support vector regression machine based on rough and fuzzy set theories. - Zhenxia Xue; Roxin Zhang; Chuandong Qin; Xiaoqing Zeng (Neural Comput. Appl., 2020)

Robust projection twin extreme learning machines with capped L1-norm distance metric. - Yang Yang; Zhenxia Xue; Jun Ma 020; Xia Chang (Neurocomputing, 2023)

Robust Fisher-Regularized Twin Extreme Learning Machine with Capped L1-Norm for Classification. - Zhenxia Xue; Linchao Cai (Axioms, 2023)

Robust Fisher-regularized extreme learning machine with asymmetric Welsch-induced loss function for classification. - Zhenxia Xue; Chongning Zhao; Shuqing Wei; Jun Ma; Shouhe Lin (Appl. Intell., 2024)

The Robust Supervised Learning Framework: Harmonious Integration of Twin Extreme Learning Machine, Squared Fractional Loss, Capped L2,p-norm Metric, and Fisher Regularization. - Zhenxia Xue; Yan Wang; Yuwen Ren; Xinyuan Zhang (Symmetry, 2024)