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Siamese Dense Neural Network for Software Defect Prediction with Small Data Journal article
IEEE Access, 2019,Volume: 7,Page: 7663-7677
Authors:  Zhao L.;  Shang Z.;  Zhao L.;  Qin A.;  Tang Y.Y.
Favorite | View/Download:26/0 | TC[WOS]:5 TC[Scopus]:8 | Submit date:2019/02/11
deep learning  few-shot learning  metric learning  Siamese dense neural networks  software defect prediction  
Serially coupled reversed phase-hydrophilic interaction liquid chromatography-tailored multiple reaction monitoring, a fit-for-purpose tool for large-scale targeted metabolomics of medicinal bile Journal article
ANALYTICA CHIMICA ACTA, 2018,Volume: 1037,Page: 119-129
Authors:  Song, Qingqing;  Liu, Wenjing;  Chen, Xiaojia;  Li, Jun;  Li, Peng;  Yang, Fengqing;  Wang, Yitao;  Song, Yuelin;  Tu, Pengfei
Adobe PDF | Favorite | View/Download:870/3 | TC[WOS]:15 TC[Scopus]:20 | Submit date:2018/10/30
Large-scale Targeted Metabolomics  Serially Coupled Rplc-hilic  Tailored Multiple Reaction Monitoring  Medicinal Bile  Bile Acids  
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:20/0 | TC[WOS]:10 TC[Scopus]:23 | Submit date:2018/10/30
Software Defect Prediction  Class Imbalance  Class Overlap  Machine Learning  
Toward the Total Synthesis of Eurifoloid A Journal article
ORGANIC LETTERS, 2017,Volume: 19,Issue: 10,Page: 2742-2745
Authors:  Liu, Xin;  Liu, Junyang;  Zhao, Jing;  Li, Shaoping;  Li, Chuang-Chuang
View | Adobe PDF | Favorite | View/Download:623/46 | TC[WOS]:19 TC[Scopus]:24 | Submit date:2018/10/30
Negative samples reduction in cross-company software defects prediction Journal article
Information and Software Technology, 2015,Volume: 62,Issue: 1,Page: 67-77
Authors:  Lin Chen;  Bin Fang;  Zhaowei Shang;  Yuanyan Tang
Favorite | View/Download:44/0 | TC[WOS]:52 TC[Scopus]:79 | Submit date:2018/10/30
Cross-company Defects Prediction  Software Fault Prediction  Transfer Learning