Hong-Jie Xing

According to our database1, Hong-Jie Xing authored at least 28 papers between 2004 and 2020.

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Bibliography

2020
Robust AdaBoost based ensemble of one-class support vector machines.
Information Fusion, 2020

2018
Robust one-class support vector machine with rescaled hinge loss function.
Pattern Recognition, 2018

Rotation Based Ensemble of One-Class Support Vector Machines.
Proceedings of the 2018 International Conference on Machine Learning and Cybernetics, 2018

2017
Selective ensemble of SVDDs with Renyi entropy based diversity measure.
Pattern Recognition, 2017

2016
An Optimization Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications.
Entropy, 2016

Correntropy based self-organizing map.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

2015
A Study on Relationship Between Generalization Abilities and Fuzziness of Base Classifiers in Ensemble Learning.
IEEE Trans. Fuzzy Systems, 2015

2014
Further improvements in Feature-Weighted Fuzzy C-Means.
Inf. Sci., 2014

Regularized correntropy criterion based feature extraction for novelty detection.
Neurocomputing, 2014

Classification of BGP anomalies using decision trees and fuzzy rough sets.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

2013
Training extreme learning machine via regularized correntropy criterion.
Neural Computing and Applications, 2013

A New Approach of Deriving Bounds between Entropy and Error from Joint Distribution: Case Study for Binary Classifications
CoRR, 2013

2012
Analytical Bounds between Entropy and Error Probability in Binary Classifications
CoRR, 2012

Robust feature extraction for novelty detection based on regularized correntropy criterion.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012

Selective Ensemble of Support Vector Data Descriptions for Novelty Detection.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Modified AdaBoost based OCSVM ensemble for image retrieval.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Two-stage dimensionality reduction approach based on 2DLDA and fuzzy rough sets technique.
Neurocomputing, 2011

Chance-constrained programming on sugeno measure space.
Expert Syst. Appl., 2011

A comparative experimental study of feature-weight learning approaches.
Proceedings of the IEEE International Conference on Systems, 2011

A modified AdaBoost method for one-class SVM and its application to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2011

2009
Two-Phase Construction of Multilayer Perceptrons Using Information Theory.
IEEE Trans. Neural Networks, 2009

The expected value models on Sugeno measure space.
Int. J. Approx. Reasoning, 2009

2008
An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification.
Neurocomputing, 2008

Application of kernel learning vector quantization to novelty detection.
Proceedings of the IEEE International Conference on Systems, 2008

A novel support vector machine with its features weighted by mutual information.
Proceedings of the International Joint Conference on Neural Networks, 2008

2006
Knowledge Discovery and Integration Based on A Novel Neural Network Ensemble Model.
Proceedings of the 2006 International Conference on Semantics, 2006

2005
Sparse Kernel Fisher Discriminant Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

2004
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks, 2004


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