Adaptive Safe Semi-Supervised Extreme Machine Learning. - Jun Ma 020; Chao Yuan (IEEE Access, 2019)

Sparse Twin Extreme Learning Machine With $ varepsilon$ -Insensitive Zone Pinball Loss. - Jumei Shen; Jun Ma 020 (IEEE Access, 2019)

Lagrangian supervised and semi-supervised extreme learning machine. - Jun Ma 020; Yakun Wen; Liming Yang (Appl. Intell., 2019)

Capped L1-norm distance metric-based fast robust twin extreme learning machine. - Jun Ma 020 (Appl. Intell., 2020)

Projection multi-birth support vector machinea for multi-classification. - Yakun Wen; Jun Ma 020; Chao Yuan; Liming Yang (Appl. Intell., 2020)

Capped L1-norm distance metric-based fast robust twin bounded support vector machine. - Jun Ma 020; Liming Yang; Qun Sun (Neurocomputing, 2020)

Fisher-regularized supervised and semi-supervised extreme learning machine. - Jun Ma 020; Yakun Wen; Liming Yang (Knowl. Inf. Syst., 2020)

Twin minimax probability extreme learning machine for pattern recognition. - Jun Ma 020; Liming Yang; Yakun Wen; Qun Sun (Knowl. Based Syst., 2020)

Supervised and semi-supervised twin parametric-margin regularized extreme learning machine. - Jun Ma 020 (Pattern Anal. Appl., 2020)

Retraction notice to "A novel twin minimax probability machine for classification and regression" [Knowl.-Based Syst. 196 (2020) 105703]. - Jun Ma 020; Jumei Shen (Knowl. Based Syst., 2021)

Adaptive robust learning framework for twin support vector machine classification. - Jun Ma 020; Liming Yang; Qun Sun (Knowl. Based Syst., 2021)

Robust supervised and semi-supervised twin extreme learning machines for pattern classification. - Jun Ma 020; Liming Yang (Signal Process., 2021)

Regularized twin minimax probability machine for pattern classification and regression. - Jun Ma 020; Guolin Yu (Eng. Appl. Artif. Intell., 2022)

Capped Linex Metric Twin Support Vector Machine for Robust Classification. - Yifan Wang; Guolin Yu; Jun Ma 020 (Sensors, 2022)

Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification. - Jun Ma 020; Guolin Yu (Symmetry, 2022)

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

Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss. - Haoyu Wang; Guolin Yu; Jun Ma 020 (Symmetry, 2023)

Hessian scatter regularized twin support vector machine for semi-supervised classification. - Guolin Yu; Jun Ma 020; Chenzhen Xie (Eng. Appl. Artif. Intell., 2023)

Safe semi-supervised learning for pattern classification. - Jun Ma 020; Guolin Yu; Weizhi Xiong; Xiaolong Zhu (Eng. Appl. Artif. Intell., 2023)

Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification. - Yimeng Jiang; Guolin Yu; Jun Ma 020 (Axioms, 2023)

A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification. - Bao Ma; Jun Ma 020; Guolin Yu (Axioms, 2023)

A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition. - Jun Ma 020; Guolin Yu (Signal Process., 2023)

Fast sparse twin learning framework for large-scale pattern classification. - Haoyu Wang; Guolin Yu; Jun Ma 020 (Eng. Appl. Artif. Intell., 2024)

Sparse robust adaptive unsupervised subspace learning for dimensionality reduction. - Weizhi Xiong; Guolin Yu; Jun Ma 020; Sheng Liu (Eng. Appl. Artif. Intell., 2024)

Distribution-free Bayesian regularized learning framework for semi-supervised learning. - Jun Ma 020; Guolin Yu (Neural Networks, 2024)

Robust adaptive learning framework for semi-supervised pattern classification. - Jun Ma 020; Guolin Yu (Signal Process., 2024)

A novel robust adaptive subspace learning framework for dimensionality reduction. - Weizhi Xiong; Guolin Yu; Jun Ma 020; Sheng Liu (Appl. Intell., 2024)

Universum driven adaptive robust Adaboost twin extreme learning machine imbalance learning framework for pattern classification. - Tian Tang; Jun Ma 020; Rongyu Qiao; Xiaomei Sun (Signal Process., 2026)