An Effective Feature Selection Method Using the Contribution Likelihood Ratio of Attributes for Classification. - Zhiwang Zhang; Yong Shi 001; Guangxia Gao; Yaohui Chai (APWeb Workshops, 2008)

A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification. - Zhiwang Zhang; Yong Shi 001; Peng Zhang 001; Guangxia Gao (ICCS (2), 2008)

A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis. - Zhiwang Zhang; Yong Shi 001; Guangxia Gao (Expert Syst. Appl., 2009)

Extensible Multi-criteria Optimization Classifier for Prediction of Chinese Semantic Word-formation Patterns. - Zhiwang Zhang; Xinseng Li; Hailin Zou; Shiyong Kang; Guangxia Gao (ITQM, 2013)

Multi-criteria optimization classifier using fuzzification, kernel and penalty factors for predicting protein interaction hot spots. - Zhiwang Zhang; Guangxia Gao; Jun Yue; Yanqing Duan; Yong Shi 001 (Appl. Soft Comput., 2014)

Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors. - Zhiwang Zhang; Guangxia Gao; Yong Shi 001 (Eur. J. Oper. Res., 2014)

Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity. - Zhiwang Zhang; Guangxia Gao; Yingjie Tian 001 (Knowl. Based Syst., 2015)

Prediction of Chinese word-formation patterns using the layer-weighted semantic graph-based KFP-MCO classifier. - Guangxia Gao; Zhiwang Zhang (Comput. Speech Lang., 2016)

Two-phase multi-kernel LP-SVR for feature sparsification and forecasting. - Zhiwang Zhang; Guangxia Gao; Yingjie Tian 001; Jue Yue (Neurocomputing, 2016)

Sparse feature kernel multi-criteria linear programming classifier. - Zhiwang Zhang; Guangxia Gao; Jun Yue; Yong Shi 001 (Neurocomputing, 2018)

Bi-sparse optimization-based least squares regression. - Zhiwang Zhang; Jing He 004; Guangxia Gao; Yingjie Tian 001 (Appl. Soft Comput., 2019)

Sparse multi-criteria optimization classifier for credit risk evaluation. - Zhiwang Zhang; Jing He 004; Guangxia Gao; Yingjie Tian 001 (Soft Comput., 2019)

An interpretable regression approach based on bi-sparse optimization. - Zhiwang Zhang; Guangxia Gao; Tao Yao; Jing He 004; Yingjie Tian 001 (Appl. Intell., 2020)

Multi-criteria linear optimization classifier with semantically weighted kernels for Chinese word formation pattern prediction. - Guangxia Gao; Zhiwang Zhang; Shiyong Kang (ITQM, 2022)