Xian-Fa Cai

Orcid: 0000-0003-2857-8923

According to our database1, Xian-Fa Cai authored at least 13 papers between 2011 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Multifield Coupled Dynamics Model of Resonant Carbon Nanotube Mass Sensor Based on Nonlocal Elastic and Electromagnetic Effects.
IEEE Trans. Ind. Electron., 2021

2020
A statistical pattern based feature extraction method on system call traces for anomaly detection.
Inf. Softw. Technol., 2020

Erratum to: Relative manifold based semi-supervised dimensionality reduction.
Frontiers Comput. Sci., 2020

2019
Mobile app traffic flow feature extraction and selection for improving classification robustness.
J. Netw. Comput. Appl., 2019

Semi-supervised dimensionality reduction based on local estimation error.
Int. J. High Perform. Comput. Netw., 2019

Graph-based dynamic ensemble pruning for facial expression recognition.
Appl. Intell., 2019

2016
A two-stage quantum-behaved particle swarm optimization with skipping search rule and weight to solve continuous optimization problem.
Neural Comput. Appl., 2016

Corrigendum to "A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion" [Neurocomputing 168 (2015) 365-381].
Neurocomputing, 2016

2015
A class-oriented feature selection approach for multi-class imbalanced network traffic datasets based on local and global metrics fusion.
Neurocomputing, 2015

2014
Local and Global Preserving Semisupervised Dimensionality Reduction Based on Random Subspace for Cancer Classification.
IEEE J. Biomed. Health Informatics, 2014

Relative manifold based semi-supervised dimensionality reduction.
Frontiers Comput. Sci., 2014

Perceptual relativity-based semi-supervised dimensionality reduction algorithm.
Appl. Soft Comput., 2014

2011
Enhanced supervised locality preserving projections for face recognition.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011


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