Yishi Zhang

发表

Feature selection for classification with class-separability strategy and data envelopment analysis

Chao Yang, Yishi Zhang, Anrong Yang, 2014, Neurocomputing.

Feature Selection withRedundancy-complementariness Dispersion

Ming Zhong, Zhen Huang, Bin Ran, 2015 .

Hazardous Traffic Event Detection Using Markov Blanket and Sequential Minimal Optimization (MB-SMO)

Bin Ran, Yi He, Qing Wu, 2016, Sensors.

Hybrid retention strategy formulation in telecom based on k-means clustering analysis

Yishi Zhang, Yang Huang, Shujuan Li, 2011, 2011 International Conference on E-Business and E-Government (ICEE).

Understanding Individualization Driving States via Latent Dirichlet Allocation Model

Bin Ran, Chaozhong Wu, Yishi Zhang, 2019, IEEE Intelligent Transportation Systems Magazine.

Driving risk status prediction using Bayesian networks and logistic regression

Zhen Huang, Bin Ran, Dunyao Zhu, 2017 .

Feature selection with redundancy-complementariness dispersion pdf

Bin Ran, Ming Zhong, Zhen Huang, 2015, Knowl. Based Syst..

Divergence-based feature selection for separate classes

Yishi Zhang, Zigang Zhang, Teng Wang, 2013, Neurocomputing.

Churn Prediction in Telecom Using a Hybrid Two-phase Feature Selection Method

Hong Xu, Yishi Zhang, Zigang Zhang, 2009, 2009 Third International Symposium on Intelligent Information Technology Application.

Deep learning for autonomous ship-oriented small ship detection

Chaozhong Wu, Zhang Mingyang, Yishi Zhang, 2020 .

Feature assessment and ranking for classification with nonlinear sparse representation and approximate dependence analysis

Jennifer Shang, Qi Zhang, Zhijun Chen, 2019, Decis. Support Syst..

Evaluating and selecting features via information theoretic lower bounds of feature inner correlations for high-dimensional data

Yishi Zhang, Ruilin Zhu, De Xia, 2021, Eur. J. Oper. Res..

Gap Minimization for Peer-Evaluation in DEA Cross-Efficiency

Anrong Yang, Yishi Zhang, Zigang Zhang, 2014, J. Appl. Math..

Corrigendum to "A novel sparse representation model for pedestrian abnormal trajectory understanding" [Expert Systems with Applications, Volume 138, 30 December 2019, 112753]

Miguel Ángel Sotelo, Chaozhong Wu, Hao Cai, 2020, Expert Syst. Appl..

Drawing openness to experience from user generated contents: An interpretable data-driven topic modeling approach

Yang Deng, Yishi Zhang, Dan Liu, 2020, Expert Syst. Appl..

A novel sparse representation model for pedestrian abnormal trajectory understanding

Zhixiong Li, Chaozhong Wu, Hao Cai, 2019, Expert Syst. Appl..

Feature subset selection with cumulate conditional mutual information minimization

Yishi Zhang, Zigang Zhang, Yishi Zhang, 2012, Expert Syst. Appl..

Feature selection using data envelopment analysis

Anrong Yang, Teng Wang, Yishi Zhang, 2014, Knowl. Based Syst..

An Improved IAMB Algorithm for Markov Blanket Discovery

Yishi Zhang, Zigang Zhang, Kaijun Liu, 2010, J. Comput..

Vehicle Behavior Learning via Sparse Reconstruction with $\ell_{2}-\ell_{p}$ Minimization and Trajectory Similarity

Bin Ran, Zhen Huang, Nengchao Lyu, 2017, IEEE Transactions on Intelligent Transportation Systems.