UM
(Note: the search results are based on claimed items)

Browse/Search Results:  1-4 of 4 Help

Filters        
Selected(0)Clear Items/Page:    Sort:
Tackling class overlap and imbalance problems in software defect prediction Journal article
SOFTWARE QUALITY JOURNAL, 2018,Volume: 26,Issue: 1,Page: 97-125
Authors:  Chen, Lin;  Fang, Bin;  Shang, Zhaowei;  Tang, Yuanyan
Favorite  |  View/Download:9/0  |  Submit date: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
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
Favorite  |  View/Download:11/0  |  Submit date: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
Authors:  Yang Lu;  Yiu-ming Cheung;  Yuan Yan Tang
Favorite  |  View/Download:2/0  |  Submit date: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
Authors:  Jing Chen;  Yuan Yan Tang;  Bin Fang;  Chang Guo
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Cost-sensitive  Phenols  Qsar  Random Forest  Toxic Action Mechanisms