Wentao Mao

According to our database1, Wentao Mao authored at least 24 papers between 2008 and 2019.

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Bibliography

2019
Imbalanced Fault Diagnosis of Rolling Bearing Based on Generative Adversarial Network: A Comparative Study.
IEEE Access, 2019

2018
Online Bearing Fault Diagnosis using Support Vector Machine and Stacked Auto-Encoder.
Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management, 2018

Sparse Feature Grouping based on 𝓁1/2 Norm Regularization.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
An ELM-based model with sparse-weighting strategy for sequential data imbalance problem.
Int. J. Machine Learning & Cybernetics, 2017

Online sequential prediction of imbalance data with two-stage hybrid strategy by extreme learning machine.
Neurocomputing, 2017

Online Extreme Learning Machine with Hybrid Sampling Strategy for Sequential Imbalanced Data.
Cognitive Computation, 2017

2015
Multi-dimensional extreme learning machine.
Neurocomputing, 2015

Online sequential classification of imbalanced data by combining extreme learning machine and improved SMOTE algorithm.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Real-time human body parts localization from dynamic vision sensor.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Uncertainty evaluation and model selection of extreme learning machine based on Riemannian metric.
Neural Computing and Applications, 2014

Leave-one-out cross-validation-based model selection for multi-input multi-output support vector machine.
Neural Computing and Applications, 2014

A fast and robust model selection algorithm for multi-input multi-output support vector machine.
Neurocomputing, 2014

A new multi-task learning based Wi-Fi location approach using L1/2-norm.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
An adaptive support vector regression based on a new sequence of unified orthogonal polynomials.
Pattern Recognition, 2013

Model selection of extreme learning machine based on multi-objective optimization.
Neural Computing and Applications, 2013

Mixture Regression Estimation based on Extreme Learning Machine.
JCP, 2013

Heteroassociative morphological memories based on four-dimensional storage.
Neurocomputing, 2013

2012
Research of Dynamic Load Identification Based on Extreme Learning Machine.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Model selection for least squares support vector regressions based on small-world strategy.
Expert Syst. Appl., 2011

2010
Regression Transfer Learning Based on Principal Curve.
Proceedings of the Advances in Neural Networks, 2010

2009
Weighted solution path algorithm of support vector regression based on heuristic weight-setting optimization.
Neurocomputing, 2009

The Relationship between Generalization Error and the Training Sample Number of SVM.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Application of LSSVM-PSO to Load Identification in Frequency Domain.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2009

2008
Pre-extracting method for SVM classification based on the non-parametric K-NN rule.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008


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