Guangxia Gao

According to our database1, Guangxia Gao authored at least 14 papers between 2008 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Multi-criteria linear optimization classifier with semantically weighted kernels for Chinese word formation pattern prediction.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

2020
An interpretable regression approach based on bi-sparse optimization.
Appl. Intell., 2020

2019
Sparse multi-criteria optimization classifier for credit risk evaluation.
Soft Comput., 2019

Bi-sparse optimization-based least squares regression.
Appl. Soft Comput., 2019

2018
Sparse feature kernel multi-criteria linear programming classifier.
Neurocomputing, 2018

2016
Two-phase multi-kernel LP-SVR for feature sparsification and forecasting.
Neurocomputing, 2016

Prediction of Chinese word-formation patterns using the layer-weighted semantic graph-based KFP-MCO classifier.
Comput. Speech Lang., 2016

2015
Multi-kernel multi-criteria optimization classifier with fuzzification and penalty factors for predicting biological activity.
Knowl. Based Syst., 2015

2014
Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors.
Eur. J. Oper. Res., 2014

Multi-criteria optimization classifier using fuzzification, kernel and penalty factors for predicting protein interaction hot spots.
Appl. Soft Comput., 2014

2013
Extensible Multi-criteria Optimization Classifier for Prediction of Chinese Semantic Word-formation Patterns.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

2009
A rough set-based multiple criteria linear programming approach for the medical diagnosis and prognosis.
Expert Syst. Appl., 2009

2008
A Rough Set-Based Multiple Criteria Linear Programming Approach for Classification.
Proceedings of the Computational Science, 2008

An Effective Feature Selection Method Using the Contribution Likelihood Ratio of Attributes for Classification.
Proceedings of the Advanced Web and NetworkTechnologies, and Applications, 2008


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