Jun-Hai Zhai

发表

Induction of multiple fuzzy decision trees based on rough set technique

Xizhao Wang, Jun-Hai Zhai, Shu-Xia Lu, 2008, Inf. Sci..

Rough-Neural Image Classification using Wavelet Transform

Jun-Hai Zhai, Su-Fang Zhang, Xi-Zhao Wang, 2007, 2007 International Conference on Machine Learning and Cybernetics.

A New Fuzzy Multicategory Support Vector Machines Classifier

Jun-Hai Zhai, Shuxia Lu, Xianhao Liu, 2007, 2007 International Conference on Machine Learning and Cybernetics.

Applying a new localized generalization error model to design neural networks trained with extreme learning machine

Victor C. M. Leung, Jianping Yin, Victor C. M. Leung, 2014, Neural Computing and Applications.

Architecture selection for networks trained with extreme learning machine using localized generalization error model

Xizhao Wang, Jun-Hai Zhai, Qing Miao, 2013, Neurocomputing.

Fast Fuzzy Multicategory SVM Based on Support Vector Domain Description

Xizhao Wang, Jun-Hai Zhai, Shu-Xia Lu, 2008, Int. J. Pattern Recognit. Artif. Intell..

Ensemble of multiresolution probabilistic neural network classifiers with fuzzy integral for face recognition

Jun-Hai Zhai, Wenxiu Zhao, Jun-Hai Zhai, 2016, J. Intell. Fuzzy Syst..

Sample Selection Based on K-L Divergence for Effectively Training SVM

Jun-Hai Zhai, Chang Li, Jun-Hai Zhai, 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

The classification of imbalanced large data sets based on MapReduce and ensemble of ELM classifiers

Jun-Hai Zhai, Su-Fang Zhang, Chenxi Wang, 2015, International Journal of Machine Learning and Cybernetics.

A hierarchical inverse model based on proprioception and DNN for robot reaching

Jun-Hai Zhai, Yian Deng, Xihong Wu, 2017, IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society.

Three-way decisions model based on tolerance rough fuzzy set

Yao Zhang, Jun-Hai Zhai, Hongyu Zhu, 2017, Int. J. Mach. Learn. Cybern..

Recent Advance On Generative Adversarial Networks

Jun-Hai Zhai, Su-Fang Zhang, Jun-Fen Chen, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Extreme learning machine based on cross entropy

Xizhao Wang, Jun-Hai Zhai, Yixin Cui, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Some Insights Into Convolutional Neural Networks

Jun-Hai Zhai, Su-Fang Zhang, Li-Guang Zang, 2017, 2017 International Conference on Machine Learning and Cybernetics (ICMLC).

Multimodal Representation Learning: Advances, Trends and Challenges

Su-Fang Zhang, Xin Wang, Yan Zhan, 2019, 2019 International Conference on Machine Learning and Cybernetics (ICMLC).

Autoencoder and Its Various Variants

Jun-Hai Zhai, Su-Fang Zhang, Qiang He, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

An Overview of Pattern Classification Methodologies

Xi-Zhao Wang, Jun-Hai Zhai, Su-Fang Zhang, 2006, 2006 International Conference on Machine Learning and Cybernetics.

Fuzzy decision tree based on fuzzy-rough technique

Jun-Hai Zhai, Jun-Hai Zhai, 2011, Soft Comput..

Instances selection for NN with fuzzy rough technique

Jun-Hai Zhai, Xiao-Meng Kang, Xiao-Peng Liu, 2011, 2011 International Conference on Machine Learning and Cybernetics.

An improved algorithm for calculating fuzzy attribute reducts

Jun-Hai Zhai, Meng-Yao Zhai, Chen-Yan Bai, 2013, J. Intell. Fuzzy Syst..

Ensemble dropout extreme learning machine via fuzzy integral for data classification

Jun-Hai Zhai, Li-Guang Zang, Zhaoyi Zhou, 2018, Neurocomputing.

Instance selection based on sample entropy for efficient data classification with ELM

Xizhao Wang, Jun-Hai Zhai, Qing Miao, 2012, 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Instance selection based on supervised clustering

Jun-Hai Zhai, Su-Fang Zhang, Na Li, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Fuzzy integral-based ELM ensemble for imbalanced big data classification

Jun-Hai Zhai, Su-Fang Zhang, Mingyang Zhang, 2018, Soft Comput..

Combination of OSELM classifiers with fuzzy integral for large scale classification

Jun-Hai Zhai, Wenxiang Hu, Jinggeng Wang, 2015, J. Intell. Fuzzy Syst..

Feature selection based on extreme learning machine

Jun-Hai Zhai, Su-Fang Zhang, Meng-Yao Zhai, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Improvements for P-ELM1 and P-ELM2 Pruning Algorithms in Extreme Learning Machines

Xizhao Wang, Jun-Hai Zhai, Qing-yan Shao, 2016, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Dynamic ensemble extreme learning machine based on sample entropy

Xizhao Wang, Jun-Hai Zhai, Hong-Yu Xu, 2012, Soft Comput..

Voting-based instance selection from large data sets with MapReduce and random weight networks

Xizhao Wang, Jun-Hai Zhai, Xiaohe Pang, 2016, Inf. Sci..

A cross-selection instance algorithm

Xizhao Wang, Jun-Hai Zhai, Ta Li, 2016, J. Intell. Fuzzy Syst..

Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes

Xizhao Wang, Jun-Hai Zhai, Qing-yan Shao, 2016, Neural Processing Letters.

Ensemble online sequential extreme learning machine for large data set classification

Xizhao Wang, Jun-Hai Zhai, Jinggeng Wang, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Two-Phase RBF-ELM Learning Algorithm

Jun-Hai Zhai, Su-Fang Zhang, Wenxiang Hu, 2014, ICMLC.

Novel kernel density estimator based on ensemble unbiased cross-validation

Jun-Hai Zhai, Joshua Zhexue Huang, Yu-Lin He, 2021, Inf. Sci..

Tolerance rough fuzzy decision tree

Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang, 2018, Inf. Sci..

A Nonlinear Integral Defined on Partition and its Application to Decision Trees

Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang, 2006, Soft Comput..

Monotonic Decision Tree for Interval Valued Data

Xizhao Wang, Jun-Hai Zhai, Hong Zhu, 2014, ICMLC.

Dynamic Ensemble of Rough Set Reducts for Data Classification

Xizhao Wang, Jun-Hai Zhai, Hua-Chao Wang, 2014, RSKT.

Imbalanced Data Classification Based on Extreme Learning Machine Autoencoder

Jun-Hai Zhai, Su-Fang Zhang, Jun-Fen Chen, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Condensed fuzzy nearest neighbor methods based on fuzzy rough set technique

Jun-Hai Zhai, Xiao-Meng Kang, Meng-Yao Zhai, 2014, Intell. Data Anal..

The condensed fuzzy k-nearest neighbor rule based on sample fuzzy entropy

Jun-Hai Zhai, Na Li, Meng-Yao Zhai, 2011, 2011 International Conference on Machine Learning and Cybernetics.

Attribute reduction based on the principle of maximal dependency and minimal mutual information

Jun-Hai Zhai, Meng-Yao Zhai, Li-Yan Wan, 2012, 2012 International Conference on Machine Learning and Cybernetics.

Rough set model and its eight extensions

Xizhao Wang, Jun-Hai Zhai, Yuanyuan Gao, 2011, 2011 IEEE International Conference on Systems, Man, and Cybernetics.

Image denoising via wavelet threshold: single wavelet and multiple wavelets transform

Jun-Hai Zhai, Su-Fang Zhang, Jun-Hai Zhai, 2005, 2005 International Conference on Machine Learning and Cybernetics.

A model of finite-step random walk with absorbent boundaries

Xizhao Wang, Jun-Hai Zhai, Su-Fang Zhang, 2008, Int. J. Comput. Math..

Applying a new localized generalization error model to design neural networks trained with extreme learning machine

Victor C. M. Leung, Jun-Hai Zhai, Jianping Yin, 2014, Neural Computing and Applications.

RTS game strategy evaluation using extreme learning machine

Jun-Hai Zhai, S. Shiu, Yingjie Li, 2012, Soft Comput..

Coupled adversarial variational autoencoder

Jun-Hai Zhai, Yingzhen Hou, Jiankai Chen, 2021, Signal Process. Image Commun..