articleTop 1% cited
Learning from class-imbalanced data: Review of methods and applications
Expert Systems with Applications · 2016 · Vol. 73 · pp. 220–239
Haixiang Guo✉(China University of Geosciences)Yijing Li✉(China University of Geosciences)Jennifer Shang✉(University of Pittsburgh)Mingyun Gu(China University of Geosciences)Yuanyue Huang(China University of Geosciences)Bing Gong(Universidad Politécnica de Madrid)
Imbalanced Data Classification TechniquesElectricity Theft Detection TechniquesFinancial Distress and Bankruptcy PredictionComputer scienceMachine learningArtificial intelligencePreprocessorData scienceTask (project management)Perspective (graphical)Class (philosophy)Event (particle physics)Taxonomy (biology)
Funding
- National Natural Science Foundation of China
Citations
2,276
FWCI
131.09
field-weighted impact
References
428
Percentile
100%
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Applied Soft Computing · 2013 · 361 citations
SMOTE for high-dimensional class-imbalanced data
BMC Bioinformatics · 2013 · 1,050 citations
An experimental comparison of classification algorithms for imbalanced credit scoring data sets
Expert Systems with Applications · 2011 · 702 citations
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition · 2007 · 1,416 citations
SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
Information Sciences · 2014 · 606 citations
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