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Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning

Justin Engelmann, Stefan Lessmann

2021Expert Systems with Applications27 citationsDOIOpen Access PDF

Topics & Concepts

OversamplingCategorical variableMachine learningComputer scienceArtificial intelligenceClassifier (UML)Benchmark (surveying)Class (philosophy)Generative grammarData miningBandwidth (computing)GeographyGeodesyComputer networkImbalanced Data Classification TechniquesFinancial Distress and Bankruptcy PredictionElectricity Theft Detection Techniques
Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning | Litcius