Dong Xu

Affiliations:
  • Shanghai Normal University, Shanghai, China


According to our database1, Dong Xu authored at least 23 papers between 2005 and 2021.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Robust distribution-based nonnegative matrix factorizations for dimensionality reduction.
Inf. Sci., 2021

2020
Progressive transduction nonnegative matrix factorization for dimensionality reduction.
Neurocomputing, 2020

2019
Hyperplane-based nonnegative matrix factorization with label information.
Inf. Sci., 2019

2018
Semi-supervised least squares nonnegative matrix factorization and graph-based extension.
Neurocomputing, 2018

2016
Projection support vector regression algorithms for data regression.
Knowl. Based Syst., 2016

L<sub>1</sub>-norm loss based twin support vector machine for data recognition.
Inf. Sci., 2016

2015
Interval twin support vector regression algorithm for interval input-output data.
Int. J. Mach. Learn. Cybern., 2015

2014
Twin support vector hypersphere (TSVH) classifier for pattern recognition.
Neural Comput. Appl., 2014

Structural regularized projection twin support vector machine for data classification.
Inf. Sci., 2014

A twin projection support vector machine for data regression.
Neurocomputing, 2014

Online Model-Based Twin Parametric-Margin Support Vector Machine.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014

2013
A local information-based feature-selection algorithm for data regression.
Pattern Recognit., 2013

Robust minimum class variance twin support vector machine classifier.
Neural Comput. Appl., 2013

Structural twin parametric-margin support vector machine for binary classification.
Knowl. Based Syst., 2013

A twin-hypersphere support vector machine classifier and the fast learning algorithm.
Inf. Sci., 2013

Local scaling heuristic-based regularization for pattern classification.
Neurocomputing, 2013

Norm-mixed twin support vector machine classifier and its geometric algorithm.
Neurocomputing, 2013

Geometric algorithms for parametric-margin v-support vector machine.
Neurocomputing, 2013

Bi-density twin support vector machines for pattern recognition.
Neurocomputing, 2013

2012
Efficient support vector data descriptions for novelty detection.
Neural Comput. Appl., 2012

Twin Mahalanobis distance-based support vector machines for pattern recognition.
Inf. Sci., 2012

2006
An RNA folding algorithm including pseudoknots based on dynamic weighted matching.
Comput. Biol. Chem., 2006

2005
Bayesian Neural Networks for Prediction of Protein Secondary Structure.
Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005


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