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Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
作者:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
收藏  |  浏览/下载:9/0  |  提交时间:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
GOBoost: G-mean optimized boosting framework for class imbalance learning Conference paper
Proceedings of the World Congress on Intelligent Control and Automation (WCICA), Guilin, China, 12-15 June 2016
作者:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
收藏  |  浏览/下载:14/0  |  提交时间:2019/02/11
Hybrid Sampling with Bagging for Class Imbalance Learning Conference paper
Lecture Notes in Computer Science (ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING), Univ Auckland, Auckland, NEW ZEALAND, APR 19-22, 2016
作者:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
收藏  |  浏览/下载:2/0  |  提交时间:2019/02/11
Class Imbalance Learning  Ensemble Method  Hybrid Sampling  Sampling Method  
In silico prediction of toxic action mechanisms of phenols for imbalanced data with Random Forest learner Journal article
Journal of Molecular Graphics and Modelling, 2012,Volume: 35,Page: 21-27
作者:  Jing Chen;  Yuan Yan Tang;  Bin Fang;  Chang Guo
收藏  |  浏览/下载:6/0  |  提交时间:2019/02/11
Cost-sensitive  Phenols  Qsar  Random Forest  Toxic Action Mechanisms