Chunxia Zhang

发表

An empirical bias–variance analysis of DECORATE ensemble method at different training sample sizes

Chunxia Zhang, Guanwei Wang, Jiangshe Zhang, 2012 .

RandGA: injecting randomness into parallel genetic algorithm for variable selection

Chunxia Zhang, Guanwei Wang, Junmin Liu, 2015 .

Robust sparse regression by modeling noise as a mixture of gaussians

Chunxia Zhang, Shuang Xu, 2019, Journal of Applied Statistics.

An efficient modified boosting method for solving classification problems

Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang, 2008 .

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Chunxia Zhang, Jiangshe Zhang, Sang-Woon Kim, 2016, Computational Statistics.

A sparse-response deep belief network based on rate distortion theory

Chun-Xia Zhang, Jiang-She Zhang, Nannan Ji, 2014, Pattern Recognit..

Enhancing performance of restricted Boltzmann machines via log-sum regularization

Chun-Xia Zhang, Jiang-She Zhang, Nannan Ji, 2014, Knowl. Based Syst..

A Novel Sparse Deep Belief Network for Unsupervised Feature Learning

Chun-Xia Zhang, Jiang-She Zhang, Nannan Ji, 2012 .

HAM-MFN: Hyperspectral and Multispectral Image Multiscale Fusion Network With RAP Loss

Chun-Xia Zhang, Guanghai Li, Shuang Xu, 2020, IEEE Transactions on Geoscience and Remote Sensing.

An empirical study of using Rotation Forest to improve regressors

Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang, 2008, Appl. Math. Comput..

A local boosting algorithm for solving classification problems

Chun-Xia Zhang, Jiang-She Zhang, Chunxia Zhang, 2008, Comput. Stat. Data Anal..

Discriminative restricted Boltzmann machine for invariant pattern recognition with linear transformations

Chun-Xia Zhang, Jiang-She Zhang, Lei Wang, 2014, Pattern Recognit. Lett..

Influence Diagnostics in Partially Varying-Coefficient Models

Chunxia Zhang, Jiangshe Zhang, Changlin Mei, 2007 .

Using Boosting to prune Double-Bagging ensembles

Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang, 2009, Comput. Stat. Data Anal..

An Application of Classifier Combination Methods in Hand Gesture Recognition

Chun-Xia Zhang, Guan-Wei Wang, Jian Zhuang, 2012 .

Improving text classification with weighted word embeddings via a multi-channel TextCNN model

Chun-Xia Zhang, Xiaoyi Ma, Junmin Liu, 2019, Neurocomputing.

Pruning variable selection ensembles

Chunxia Zhang, Mu Zhu, Yilei Wu, 2017, Stat. Anal. Data Min..

RotBoost: A technique for combining Rotation Forest and AdaBoost

Chun-Xia Zhang, Jiang-She Zhang, Chunxia Zhang, 2008, Pattern Recognit. Lett..

An Empirical Study on the Performance of Cost-Sensitive Boosting Algorithms with Different Levels of Class Imbalance

Chun-Xia Zhang, Jiang-She Zhang, Qing-Yan Yin, 2013 .

An experimental study of one- and two-level classifier fusion for different sample sizes

Chun-Xia Zhang, Robert P. W. Duin, R. Duin, 2011, Pattern Recognit. Lett..

A distributed parallel training method of deep belief networks

Guang Shi, Junying Hu, Jiang-She Zhang, 2020, Soft Computing.

Investigating the Effect of Randomly Selected Feature Subsets on Bagging and Boosting

Chun-Xia Zhang, Guan-Wei Wang, Gao Guo, 2015, Commun. Stat. Simul. Comput..

IRUSRT: A Novel Imbalanced Learning Technique by Combining Inverse Random Under Sampling and Random Tree

Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang, 2014, Commun. Stat. Simul. Comput..

Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method

Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang, 2010, Commun. Stat. Simul. Comput..

Learning ensemble classifiers via restricted Boltzmann machines

Chun-Xia Zhang, Jiang-She Zhang, Gao Guo, 2014, Pattern Recognit. Lett..

Ensembling Variable Selectors by Stability Selection for the Cox Model

Chun-Xia Zhang, Jun-Li Li, Qing-Yan Yin, 2017, 2017 International Conference on Machine Learning and Cybernetics (ICMLC).

Clustering with Prim's sequential representation of minimum spanning tree

Chun-Xia Zhang, Guan-Wei Wang, Jian Zhuang, 2014, Appl. Math. Comput..

Clustering based on sequential representation of minimum spanning tree

Chunxia Zhang, Guanwei Wang, Jian Zhuang, 2011, 2011 International Conference on Wavelet Analysis and Pattern Recognition.

A ranking-based strategy to prune variable selection ensembles

Chun-Xia Zhang, Jiang-She Zhang, Qingyan Yin, 2017, Knowl. Based Syst..

A reliable Bayesian neural network for the prediction of reservoir thickness with quantified uncertainty

Chunxia Zhang, Rui Guo, Li Bao, 2023, Computers & Geosciences.

A variant of Rotation Forest for constructing ensemble classifiers

Chun-Xia Zhang, Jiang-She Zhang, Chunxia Zhang, 2010, Pattern Analysis and Applications.

Weighted-capsule routing via a fuzzy gaussian model

Chun-Xia Zhang, Fang Du, Shuang Xu, 2020, Pattern Recognit. Lett..

A novel variational Bayesian method for variable selection in logistic regression models

Shuang Xu, Chun-Xia Zhang, Jiang-She Zhang, 2019, Comput. Stat. Data Anal..

Forecasting stock volatility and value-at-risk based on temporal convolutional networks

Chunxia Zhang, Jiangshe Zhang, Xing-Fang Huang, 2022, Expert Syst. Appl..

DPP-VSE: Constructing a variable selection ensemble by determinantal point processes

Junmin Liu, Chunxia Zhang, Guanwei Wang, 2021, Expert Syst. Appl..

Generalized extreme learning machine autoencoder and a new deep neural network

Chunxia Zhang, Jiang-She Zhang, Junying Hu, 2017, Neurocomputing.

A Survey of Selective Ensemble Learning Algorithms: A Survey of Selective Ensemble Learning Algorithms

Chun-Xia Zhang, Jiang-She Zhang, Chunxia Zhang, 2011 .

Early stopping aggregation in selective variable selection ensembles for high-dimensional linear regression models

Chun-Xia Zhang, Jiang-She Zhang, Qing-Yan Yin, 2018, Knowl. Based Syst..

CondenseNet with exclusive lasso regularization

Chunxia Zhang, Jiangshe Zhang, Lizhen Ji, 2021, Neural Computing and Applications.

Identification of influential spreaders in bipartite networks:A singular value decomposition approach

Pei Wang, Shuang Xu, Chun-Xia Zhang, 2019, Physica A: Statistical Mechanics and its Applications.

A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons

Chunxia Zhang, Jiang-She Zhang, Juan Wang, 2016, Neurocomputing.

Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks

Jinhu Lü, Shuang Xu, Pei Wang, 2019, IEEE Transactions on Cybernetics.

Variational Bayesian weighted complex network reconstruction

Chun-Xia Zhang, Pei Wang, Shuang Xu, 2018, Inf. Sci..

On selective learning in stochastic stepwise ensembles

Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim, 2020, Int. J. Mach. Learn. Cybern..

A novel bagging approach for variable ranking and selection via a mixed importance measure

Chun-Xia Zhang, Jiang-She Zhang, Guan-Wei Wang, 2018 .

Randomizing outputs to increase variable selection accuracy

Chun-Xia Zhang, Guan-Wei Wang, Nannan Ji, 2016, Neurocomputing.

PBoostGA: pseudo-boosting genetic algorithm for variable ranking and selection

Chun-Xia Zhang, Jiang-She Zhang, Sang-Woon Kim, 2016, Comput. Stat..

Seismic fault detection using convolutional neural networks with focal loss

Chun-Xia Zhang, Sang-Woon Kim, Shuang Xu, 2021, Comput. Geosci..

An empirical study of a test for polynomial relationships in randomly right censored regression models

Chun-Xia Zhang, Jiang-She Zhang, Chang-Lin Mei, 2007, Comput. Stat. Data Anal..

An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets

Chun-Xia Zhang, Robert P. W. Duin, R. Duin, 2009, MCS.

On selective learning in stochastic stepwise ensembles

Chunxia Zhang, Sang-Woon Kim, Jiangshe Zhang, 2019, International Journal of Machine Learning and Cybernetics.

A novel method for constructing ensemble classifiers

Chun-Xia Zhang, Jiang-She Zhang, Chunxia Zhang, 2009, Stat. Comput..

An effective hierarchical extreme learning machine based multimodal fusion framework

Chunxia Zhang, Guang Shi, Fang Du, 2018, Neurocomputing.

A new regularized restricted Boltzmann machine based on class preserving

Chunxia Zhang, Jiangshe Zhang, Junying Hu, 2017, Knowl. Based Syst..

Learning with power l1-graph for single labeled image biometric recognition

Chun-Xia Zhang, Jiang-She Zhang, Fei Zang, 2012 .