Chun-Na Li
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2024
Large-Scale Structured Output Classification via Multiple Structured Support Vector Machine by Splitting.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2024
A nonlinear kernel SVM classifier via L0/1 soft-margin loss with classification performance.
J. Comput. Appl. Math., February, 2024
DNTC: An unsupervised Deep Networks for Temperature Compensation in non-stationary data.
Eng. Appl. Artif. Intell., January, 2024
2023
Creating Universum for class imbalance via locality and its application in multiview subspace learning.
Inf. Sci., November, 2023
A multistage deep imputation framework for missing values large segment imputation with statistical metrics.
Appl. Soft Comput., October, 2023
Appl. Intell., August, 2023
Inf. Sci., April, 2023
Appl. Soft Comput., March, 2023
L₂,₁-Norm Regularized Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.
IEEE Access, 2023
2022
F $F$ -norm two-dimensional linear discriminant analysis and its application on face recognition.
Int. J. Intell. Syst., 2022
Multistage Large Segment Imputation Framework Based on Deep Learning and Statistic Metrics.
CoRR, 2022
Two-dimensional Bhattacharyya bound linear discriminant analysis with its applications.
Appl. Intell., 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Neural Networks, 2021
Feature selection for high-dimensional regression via sparse LSSVR based on L<sub>p</sub>-norm.
Int. J. Intell. Syst., 2021
Robust two-dimensional capped l2, 1-norm linear discriminant analysis with regularization and its applications on image recognition.
Eng. Appl. Artif. Intell., 2021
Reverse nearest neighbors Bhattacharyya bound linear discriminant analysis for multimodal classification.
Eng. Appl. Artif. Intell., 2021
Online support vector quantile regression for the dynamic time series with heavy-tailed noise.
Appl. Soft Comput., 2021
Appl. Soft Comput., 2021
Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021
A Data-Driven Multi-Objective Evolutionary Algorithm Based on Combinatorial Parallel Infilling Criterion.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021
2020
Robust and Sparse Linear Discriminant Analysis via an Alternating Direction Method of Multipliers.
IEEE Trans. Neural Networks Learn. Syst., 2020
Neurocomputing, 2020
Eng. Appl. Artif. Intell., 2020
NPrSVM: Nonparallel sparse projection support vector machine with efficient algorithm.
Appl. Soft Comput., 2020
Surrogate-Assisted Memetic Algorithm with Adaptive Patience Criterion for Computationally Expensive Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Knowl. Based Syst., 2019
Robust Bhattacharyya bound linear discriminant analysis through an adaptive algorithm.
Knowl. Based Syst., 2019
Knowl. Based Syst., 2019
Clustering by twin support vector machine and least square twin support vector classifier with uniform output coding.
Knowl. Based Syst., 2019
Inf. Sci., 2019
Sparse L1-norm two dimensional linear discriminant analysis via the generalized elastic net regularization.
Neurocomputing, 2019
Expensive Inequality Constraints Handling Methods Suitable for Dynamic Surrogate-based Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Sparse <i>L<sub>q</sub></i>-norm least squares support vector machine with feature selection.
Pattern Recognit., 2018
Knowl. Based Syst., 2018
Insensitive stochastic gradient twin support vector machines for large scale problems.
Inf. Sci., 2018
Robust <i>L</i><sub>1</sub>-norm multi-weight vector projection support vector machine with efficient algorithm.
Neurocomputing, 2018
CoRR, 2018
CoRR, 2018
Adaptive Fuzzy Sliding Mode Observer for Cylinder Mass Flow Estimation in SI Engines.
IEEE Access, 2018
IEEE Access, 2018
2017
Neural Networks, 2017
J. Adv. Comput. Intell. Intell. Informatics, 2017
L<sub>1</sub>-Norm Least Squares Support Vector Regression via the Alternating Direction Method of Multipliers.
J. Adv. Comput. Intell. Intell. Informatics, 2017
Robust L<sub>p</sub>-norm least squares support vector regression with feature selection.
Appl. Math. Comput., 2017
D-FCM: Density based fuzzy c-means clustering algorithm with application in medical image segmentation.
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017
Alternating Direction Method of Multipliers for L<sub>1</sub>- and L<sub>2</sub>-norm Best Fitting Hyperplane Classifier.
Proceedings of the International Conference on Computational Science, 2017
2016
Pattern Recognit., 2016
Least squares recursive projection twin support vector machine for multi-class classification.
Int. J. Mach. Learn. Cybern., 2016
Multiple recursive projection twin support vector machine for multi-class classification.
Int. J. Mach. Learn. Cybern., 2016
2015
Knowl. Based Syst., 2015
J. Adv. Comput. Intell. Intell. Informatics, 2015
Financial Conditions Index Construction Through Weighted <i>L<sub>p</sub></i>-Norm Support Vector Regression.
J. Adv. Comput. Intell. Intell. Informatics, 2015
Locality Sensitive Proximal Classifier with Consistency for Small Sample Size Problem.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015
2014
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014