articleTop 1% cited
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
Information Sciences · 2013 · Vol. 250 · pp. 113–141
Victoria López✉(Universidad de Granada)Alberto Fernández(Universidad de Jaén)Salvador García(Universidad de Jaén)Vasile Palade(University of Oxford)Francisco Herrera(Universidad de Granada)
Imbalanced Data Classification TechniquesElectricity Theft Detection TechniquesMachine Learning and Data ClassificationComputer scienceMachine learningPreprocessorArtificial intelligenceClass (philosophy)Identification (biology)Data pre-processingData mining
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References
The condensed nearest neighbor rule (Corresp.)
IEEE Transactions on Information Theory · 1968 · 1,717 citations
A unifying view on dataset shift in classification
Pattern Recognition · 2011 · 930 citations
Weighted extreme learning machine for imbalance learning
Neurocomputing · 2012 · 732 citations
Cost-sensitive boosting for classification of imbalanced data
Pattern Recognition · 2007 · 1,416 citations
Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance
Neural Networks · 2007 · 728 citations
Support-Vector Networks
Machine Learning · 1995 · 32,108 citations
The use of the area under the ROC curve in the evaluation of machine learning algorithms
Pattern Recognition · 1997 · 7,122 citations
Support-vector networks
Machine Learning · 1995 · 39,987 citations
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