Yuan-Hai Shao

Inf. Sci., 2025

2024

Comprehensive review on twin support vector machines.

[BibT_eX]

[DOI]

Ann. Oper. Res., August, 2024

Regularized linear discriminant analysis based on generalized capped l2,q-norm.

[BibT_eX]

[DOI]

Ann. Oper. Res., August, 2024

Fast Support Vector Machine With Low-Computational Complexity for Large-Scale Classification.

[BibT_eX]

[DOI]

Zhibin Zhu

IEEE Trans. Syst. Man Cybern. Syst., July, 2024

Recursive universum linear discriminant analysis.

[BibT_eX]

[DOI]

Optim. Lett., July, 2024

Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting.

[BibT_eX]

[DOI]

Yi Li

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Learning using granularity statistical invariants for classification.

[BibT_eX]

[DOI]

Appl. Intell., April, 2024

Twin support vector quantile regression.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Fast generalized ramp loss support vector machine for pattern classification.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., February, 2024

A new fast ADMM for kernelless SVM classifier with truncated fraction loss.

[BibT_eX]

[DOI]

Weijun Zhou

Knowl. Based Syst., January, 2024

DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data.

[BibT_eX]

[DOI]

Faxing Yu

Chunna Li

Eng. Appl. Artif. Intell., January, 2024

Generalization Memorization Machine with Zero Empirical Risk for Classification.

[BibT_eX]

[DOI]

Lan Bai

Pattern Recognit., 2024

Feature selection by Universum embedding.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

A novel regularization method for decorrelation learning of non-parallel hyperplanes.

[BibT_eX]

[DOI]

Wenze Shao

Inf. Sci., 2024

Large-scale robust regression with truncated loss via majorization-minimization algorithm.

[BibT_eX]

[DOI]

Eur. J. Oper. Res., 2024

2023

Creating Universum for class imbalance via locality and its application in multiview subspace learning.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

A multistage deep imputation framework for missing values large segment imputation with statistical metrics.

[BibT_eX]

[DOI]

Appl. Soft Comput., October, 2023

Sparse and robust SVM classifier for large scale classification.

[BibT_eX]

[DOI]

Appl. Intell., August, 2023

Capped norm linear discriminant analysis and its applications.

[BibT_eX]

[DOI]

Appl. Intell., August, 2023

Twin SVM for conditional probability estimation in binary and multiclass classification.

[BibT_eX]

[DOI]

Pattern Recognit., April, 2023

Locally finite distance clustering with discriminative information.

[BibT_eX]

[DOI]

Inf. Sci., April, 2023

Union nonparallel support vector machines framework with consistency.

[BibT_eX]

[DOI]

Appl. Soft Comput., March, 2023

Fast truncated Huber loss SVM for large scale classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Least Squares Maximum and Weighted Generalization-Memorization Machines.

[BibT_eX]

[DOI]

Shuai Wang

CoRR, 2023

Classification by Estimating the Cumulative Distribution Function for Small Data.

[BibT_eX]

[DOI]

Meng-Xian Zhu

IEEE Access, 2023

CNTS: Cooperative Network for Time Series.

[BibT_eX]

[DOI]

Jinsheng Yang

IEEE Access, 2023

L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

IEEE Access, 2023

2022

Semisupervised Fuzzy Clustering With Fuzzy Pairwise Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

Multiple Flat Projections for Cross-Manifold Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Proximal operator and optimality conditions for ramp loss SVM.

[BibT_eX]

[DOI]

Naihua Xiu

Optim. Lett., 2022

Robust multi-view discriminant analysis with view-consistency.

[BibT_eX]

[DOI]

Xiang-Fei Yang

Inf. Sci., 2022

Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics.

[BibT_eX]

[DOI]

CoRR, 2022

Generalization-Memorization Machines.

[BibT_eX]

[DOI]

CoRR, 2022

Nonlinear Kernel Support Vector Machine with 0-1 Soft Margin Loss.

[BibT_eX]

[DOI]

CoRR, 2022

Safe intuitionistic fuzzy twin support vector machine for semi-supervised learning.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.

[BibT_eX]

[DOI]

Appl. Intell., 2022

Learning using rebalanced statistical invariants for imbalanced classification.

[BibT_eX]

[DOI]

Zhen-Qi Liu

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Fast support vector classifier with generalization-memorization kernel.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2021

General Plane-Based Clustering With Distribution Loss.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Generalized two-dimensional linear discriminant analysis with regularization.

[BibT_eX]

[DOI]

Neural Networks, 2021

A Multiclass Nonparallel Parametric-Margin Support Vector Machine.

[BibT_eX]

[DOI]

Inf., 2021

Feature selection for high-dimensional regression via sparse LSSVR based on Lp-norm.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2021

Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Comprehensive Review On Twin Support Vector Machines.

[BibT_eX]

[DOI]

CoRR, 2021

Fuzzy Discriminant Clustering with Fuzzy Pairwise Constraints.

[BibT_eX]

[DOI]

CoRR, 2021

Online support vector quantile regression for the dynamic time series with heavy-tailed noise.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Smooth pinball loss nonparallel support vector machine for robust classification.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Robust 2DPCA by Tℓ₁ Criterion Maximization for Image Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2021

MPMSVC: Multiple Parametric-Margin Support Vector Clustering.

[BibT_eX]

[DOI]

IEEE Access, 2021

Local density peaks clustering with small size distance matrix.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

Divergent Projection Analysis for Unsupervised Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Ramp-based twin support vector clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

ν-projection twin support vector machine for pattern classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Generalized elastic net Lp-norm nonparallel support vector machine.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2020

Capped norm linear discriminant analysis and its applications.

[BibT_eX]

[DOI]

CoRR, 2020

Principal Component Analysis Based on T𝓁1-norm Maximization.

[BibT_eX]

[DOI]

CoRR, 2020

NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Can the Exchange Rate Be Used to Predict the Shanghai Composite Index?

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Joint sample and feature selection via sparse primal and dual LSSVM.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

2DRLPP: Robust two-dimensional locality preserving projection with regularization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Robust bilateral Lp-norm two-dimensional linear discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2019

Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Support Vector Machine Classifier via L0/1 Soft-Margin Loss.

[BibT_eX]

[DOI]

CoRR, 2019

Single Versus Union: Non-parallel Support Vector Machine Frameworks.

[BibT_eX]

[DOI]

CoRR, 2019

A general model for plane-based clustering with loss function.

[BibT_eX]

[DOI]

CoRR, 2019

Robust k-subspace discriminant clustering.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2019

Robust Rescaled Hinge Loss Twin Support Vector Machine for Imbalanced Noisy Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

A Trace Lasso Regularized Robust Nonparallel Proximal Support Vector Machine for Noisy Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Sparse Lq-norm least squares support vector machine with feature selection.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Minimum deviation distribution machine for large scale regression.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

Insensitive stochastic gradient twin support vector machines for large scale problems.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Robust L1-norm multi-weight vector projection support vector machine with efficient algorithm.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Robust Bhattacharyya bound linear discriminant analysis through adaptive algorithm.

[BibT_eX]

[DOI]

CoRR, 2018

Generalized two-dimensional linear discriminant analysis with regularization.

[BibT_eX]

[DOI]

CoRR, 2018

Robust Nonparallel Proximal Support Vector Machine With Lp-Norm Regularization.

[BibT_eX]

[DOI]

IEEE Access, 2018

Reversible Discriminant Analysis.

[BibT_eX]

[DOI]

IEEE Access, 2018

2017

Robust recursive absolute value inequalities discriminant analysis with sparseness.

[BibT_eX]

[DOI]

Neural Networks, 2017

k-Proximal plane clustering.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2017

Robust and Sparse LP-Norm Support Vector Regression.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2017

Stochastic Gradient Twin Support Vector Machine for Large Scale Problems.

[BibT_eX]

[DOI]

CoRR, 2017

Robust Lp-norm least squares support vector regression with feature selection.

[BibT_eX]

[DOI]

Appl. Math. Comput., 2017

D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017

Alternating Direction Method of Multipliers for L1- and L2-norm Best Fitting Hyperplane Classifier.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computational Science, 2017

2016

MLTSVM: A novel twin support vector machine to multi-label learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Least squares recursive projection twin support vector machine for multi-class classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2016

Multiple recursive projection twin support vector machine for multi-class classification.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2016

MBLDA: A novel multiple between-class linear discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Weighted Lagrange ε-twin support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

A novel parametric-insensitive nonparallel support vector machine for regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

One norm linear programming support vector regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Extensive semi-quantitative regression.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Twin Support Vector Machine for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Robust L1-norm two-dimensional linear discriminant analysis.

[BibT_eX]

[DOI]

Neural Networks, 2015

Local k-proximal plane clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2015

Weighted linear loss twin support vector machine for large-scale classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

The Equivalence Between Principal Component Analysis and Nearest Flat in the Least Square Sense.

[BibT_eX]

[DOI]

J. Optim. Theory Appl., 2015

Wavelet Lp-Norm Support Vector Regression with Feature Selection.

[BibT_eX]

[DOI]

Ya-Fen Ye

J. Adv. Comput. Intell. Intell. Informatics, 2015

Financial Conditions Index Construction Through Weighted Lp-Norm Support Vector Regression.

[BibT_eX]

[DOI]

J. Adv. Comput. Intell. Intell. Informatics, 2015

Laplacian unit-hyperplane learning from positive and unlabeled examples.

[BibT_eX]

[DOI]

Inf. Sci., 2015

Combined outputs framework for twin support vector machines.

[BibT_eX]

[DOI]

Appl. Intell., 2015

A Novel Dynamic Financial Conditions Index Approach Based on Accurate Online Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

An efficient weighted Lagrangian twin support vector machine for imbalanced data classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Proximal parametric-margin support vector classifier and its applications.

[BibT_eX]

[DOI]

Tie-Ru Wu

Neural Comput. Appl., 2014

Laplacian smooth twin support vector machine for semi-supervised classification.

[BibT_eX]

[DOI]

Ning Hong

Int. J. Mach. Learn. Cybern., 2014

A novel feature selection method for twin support vector machine.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2014

Nonparallel hyperplane support vector machine for binary classification problems.

[BibT_eX]

[DOI]

Inf. Sci., 2014

A proximal classifier with positive and negative local regions.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Laplacian least squares twin support vector machine for semi-supervised classification.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Manifold proximal support vector machine for semi-supervised classification.

[BibT_eX]

[DOI]

Appl. Intell., 2014

Weighted Linear Loss Support Vector Machine for Large Scale Problems.

[BibT_eX]

[DOI]

Proceedings of the Second International Conference on Information Technology and Quantitative Management, 2014

Proximal Classifier via Absolute Value Inequalities.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013

Improved Generalized Eigenvalue Proximal Support Vector Machine.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2013

A GA-based model selection for smooth twin parametric-margin support vector machine.

[BibT_eX]

[DOI]

Tie-Ru Wu

Pattern Recognit., 2013

Mixed-norm linear support vector machine.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Multiple birth support vector machine for multi-class classification.

[BibT_eX]

[DOI]

Zhixia Yang

Xiang-Sun Zhang

Neural Comput. Appl., 2013

An ε-twin support vector machine for regression.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

A novel margin-based twin support vector machine with unity norm hyperplanes.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

A regularization for the projection twin support vector machine.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

A proximal classifier with consistency.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

Ensemble learning for generalised eigenvalues proximal support vector machines.

[BibT_eX]

[DOI]

Int. J. Comput. Appl. Technol., 2013

Least squares twin parametric-margin support vector machine for classification.

[BibT_eX]

[DOI]

Appl. Intell., 2013

Exploring Determinants of Inflation in China based on L1-∈-Twin Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Feature Selection Based On Linear Twin Support Vector Machines.

[BibT_eX]

[DOI]

Zhi-Min Yang

Jun-Yun He

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

The Best Separating Decision Tree Twin Support Vector Machine for Multi-Class Classification.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Proximal Plane Clustering via Eigenvalues.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Improving Lap-TSVM with Successive Overrelaxation and Differential Evolution.

[BibT_eX]

[DOI]

Ya-Fen Ye

Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2012

Least squares recursive projection twin support vector machine for classification.

[BibT_eX]

[DOI]

Zhi-Min Yang

Pattern Recognit., 2012

A coordinate descent margin based-twin support vector machine for classification.

[BibT_eX]

[DOI]