Jun Ma

30 papers Journal 30
YearRankTypeTitle / Venue / Authors
2026 J jnl
A robust sparse twin SVM with ϵ -zone insensitive two-parameter pinball loss for large-scale binary classification.
Appl. Soft Comput.
Tiantian Jiang, Guolin Yu, Jun Ma
2026 J jnl
Fast sparse supervised learning framework with BLinex loss function.
Neural Networks
Tiantian Jiang, Guolin Yu, Jun Ma
2026 J jnl
Universum driven adaptive robust Adaboost twin extreme learning machine imbalance learning framework for pattern classification.
Signal Process.
Tian Tang, Jun Ma, Rongyu Qiao, Xiaomei Sun
2024 J jnl
A novel robust adaptive subspace learning framework for dimensionality reduction.
Appl. Intell.
Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
2024 J jnl
Distribution-free Bayesian regularized learning framework for semi-supervised learning.
Neural Networks
Jun Ma, Guolin Yu
2024 J jnl
Fast sparse twin learning framework for large-scale pattern classification.
Eng. Appl. Artif. Intell.
Haoyu Wang, Guolin Yu, Jun Ma
2024 J jnl
Robust adaptive learning framework for semi-supervised pattern classification.
Signal Process.
Jun Ma, Guolin Yu
2024 J jnl
Sparse robust adaptive unsupervised subspace learning for dimensionality reduction.
Eng. Appl. Artif. Intell.
Weizhi Xiong, Guolin Yu, Jun Ma, Sheng Liu
2023 J jnl
A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification.
Axioms
Bao Ma, Jun Ma, Guolin Yu
2023 J jnl
A generalized adaptive robust distance metric driven smooth regularization learning framework for pattern recognition.
Signal Process.
Jun Ma, Guolin Yu
2023 J jnl
Capped L2, p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss.
Symmetry
Haoyu Wang, Guolin Yu, Jun Ma
2023 J jnl
Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification.
Axioms
Yimeng Jiang, Guolin Yu, Jun Ma
2023 J jnl
Hessian scatter regularized twin support vector machine for semi-supervised classification.
Eng. Appl. Artif. Intell.
Guolin Yu, Jun Ma, Chenzhen Xie
2023 J jnl
Robust projection twin extreme learning machines with capped L1-norm distance metric.
Neurocomputing
Yang Yang, Zhenxia Xue, Jun Ma, Xia Chang
2023 J jnl
Safe semi-supervised learning for pattern classification.
Eng. Appl. Artif. Intell.
Jun Ma, Guolin Yu, Weizhi Xiong, Xiaolong Zhu
2022 J jnl
Capped Linex Metric Twin Support Vector Machine for Robust Classification.
Sensors
Yifan Wang, Guolin Yu, Jun Ma
2022 J jnl
Lagrangian Regularized Twin Extreme Learning Machine for Supervised and Semi-Supervised Classification.
Symmetry
Jun Ma, Guolin Yu
2022 J jnl
Regularized twin minimax probability machine for pattern classification and regression.
Eng. Appl. Artif. Intell.
Jun Ma, Guolin Yu
2021 J jnl
Adaptive robust learning framework for twin support vector machine classification.
Knowl. Based Syst.
Jun Ma, Liming Yang, Qun Sun
2021 J jnl
Retraction notice to "A novel twin minimax probability machine for classification and regression" [Knowl.-Based Syst. 196 (2020) 105703].
Knowl. Based Syst.
Jun Ma, Jumei Shen
2021 J jnl
Robust supervised and semi-supervised twin extreme learning machines for pattern classification.
Signal Process.
Jun Ma, Liming Yang
2020 J jnl
Capped L
Appl. Intell.
Jun Ma
2020 J jnl
Capped L1-norm distance metric-based fast robust twin bounded support vector machine.
Neurocomputing
Jun Ma, Liming Yang, Qun Sun
2020 J jnl
Fisher-regularized supervised and semi-supervised extreme learning machine.
Knowl. Inf. Syst.
Jun Ma, Yakun Wen, Liming Yang
2020 J jnl
Projection multi-birth support vector machinea for multi-classification.
Appl. Intell.
Yakun Wen, Jun Ma, Chao Yuan, Liming Yang
2020 J jnl
Supervised and semi-supervised twin parametric-margin regularized extreme learning machine.
Pattern Anal. Appl.
Jun Ma
2020 J jnl
Twin minimax probability extreme learning machine for pattern recognition.
Knowl. Based Syst.
Jun Ma, Liming Yang, Yakun Wen, Qun Sun
2019 J jnl
Adaptive Safe Semi-Supervised Extreme Machine Learning.
IEEE Access
Jun Ma, Chao Yuan
2019 J jnl
Lagrangian supervised and semi-supervised extreme learning machine.
Appl. Intell.
Jun Ma, Yakun Wen, Liming Yang
2019 J jnl
Sparse Twin Extreme Learning Machine With $\varepsilon$ -Insensitive Zone Pinball Loss.
IEEE Access
Jumei Shen, Jun Ma