Zhixia Yang

Orcid: 0000-0002-7956-9720

According to our database1, Zhixia Yang authored at least 26 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Cluster-based fusion detection of soft and hard decisions for underwater non-cooperative targets.
Signal Process., April, 2024

A unified kernel sparse representation framework for supervised learning problems.
Neural Comput. Appl., 2024

Robust kernel-free quadratic surface twin support vector machine with capped L<sub>1</sub>-norm distance metric.
CoRR, 2024

2023
Symmetric LINEX loss twin support vector machine for robust classification and its fast iterative algorithm.
Neural Networks, November, 2023

Kernel-Free Quadratic Surface Support Vector Regression with Non-Negative Constraints.
Entropy, July, 2023

Kernel-Free Quadratic Surface Regression for Multi-Class Classification.
Entropy, July, 2023

Infrared Small Target Detection Based on Singularity Analysis and Constrained Random Walker.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Kernel-Free Nonlinear Support Vector Machines for Multiview Binary Classification Problems.
Int. J. Intell. Syst., 2023

2022
∊-Kernel-free soft quadratic surface support vector regression.
Inf. Sci., 2022

Natural Language Processing of COVID-19 Reports Involving China in New York Times - a Machine-based Framing Study of Media Language.
Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, 2022

2021
Kernel-Free Quadratic Surface Minimax Probability Machine for a Binary Classification Problem.
Symmetry, 2021

Generalized Eigenvalue Proximal Support Vector Machine for Functional Data Classification.
Symmetry, 2021

Non-parallel hyperplanes ordinal regression machine.
Knowl. Based Syst., 2021

Quadratic hyper-surface kernel-free least squares support vector regression.
Intell. Data Anal., 2021

2016
Least squares support vector machine with parametric margin for binary classification.
J. Intell. Fuzzy Syst., 2016

2013
Multiple birth support vector machine for multi-class classification.
Neural Comput. Appl., 2013

2012
Adaptive support vector machine with homogeneous decision function.
Proceedings of the Eighth International Conference on Natural Computation, 2012

2011
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context.
BMC Syst. Biol., 2011

2010
Sequence-based protein-protein interaction prediction via support vector machine.
J. Syst. Sci. Complex., 2010

Second Order Cone Programming Formulations for Handling Data with Perturbation.
J. Convergence Inf. Technol., 2010

2009
An incremental dimensionality reduction method on discriminant information for pattern classification.
Pattern Recognit. Lett., 2009

Leave-one-out bounds for support vector ordinal regression machine.
Neural Comput. Appl., 2009

2008
An Improved AETG Test Suite Optimization Method Based on Regressing Test Model.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Support Vector Machine Solving Freeform Curve and Surface Reconstruction Problem.
Int. J. Wavelets Multiresolution Inf. Process., 2007

2005
Support Vector Regression with Smoothing Property.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

A Multi-class Classification Algorithm based on Ordinal Regression Machine.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005


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