Xizhao Wang

发表

Induction of multiple fuzzy decision trees based on rough set technique

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

Intuitionistic fuzzy twin support vector machines for imbalanced data

Xizhao Wang, S. Rezvani, 2022, Neurocomputing.

Uncertainty guided pruning of classification model tree

Xizhao Wang, Xinlei Zhou, Xinpeng Zhou, 2022, Knowl. Based Syst..

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

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

Editorial: Uncertainty in learning from big data

Xizhao Wang, Joshua Zhexue Huang, Xizhao Wang, 2015, Fuzzy Sets Syst..

Learning from big data with uncertainty - editorial

Xizhao Wang, Xizhao Wang, 2015, J. Intell. Fuzzy Syst..

An overview of probabilistic-based expressions for qualitative decision-making: techniques, comparisons and developments

Xizhao Wang, Zeshui Xu, Yue He, 2018, International Journal of Machine Learning and Cybernetics.

Extreme learning machine based on cross entropy

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

Architecture Selection of ELM Networks Based on Sensitivity of Hidden Nodes

Xizhao Wang, Jun-Hai Zhai, Qing-yan Shao, 2015, Neural Processing Letters.

Learning from Uncertainty for Big Data: Future Analytical Challenges and Strategies

Xizhao Wang, Yulin He, Xizhao Wang, 2016, IEEE Systems, Man, and Cybernetics Magazine.

Recent advances in multiple criteria decision making techniques

Xizhao Wang, J. Huang, Yulin He, 2016, International Journal of Machine Learning and Cybernetics.

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).

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).

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..

Dynamic Ensemble of Rough Set Reducts for Data Classification

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

Rough set model and its eight extensions

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

Bibliometric analysis of support vector machines research trend: a case study in China

Dejian Yu, Xizhao Wang, Zeshui Xu, 2019, International Journal of 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..