articleTop 1% cited
Using generative adversarial networks for improving classification effectiveness in credit card fraud detection
Information Sciences · 2017 · Vol. 479 · pp. 448–455
Ugo Fiore✉(Parthenope University of Naples)Alfredo De Santis(University of Salerno)Francesca Perla(Parthenope University of Naples)P Zanetti(Parthenope University of Naples)Francesco Palmieri(University of Salerno)
Imbalanced Data Classification TechniquesDigital Media Forensic DetectionAnomaly Detection Techniques and ApplicationsComputer scienceCredit card fraudMachine learningArtificial intelligenceClassifier (UML)OversamplingAdversarial systemCredit cardBinary classificationDatabase transaction
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References
Combining Pattern Classifiers: Methods and Algorithms
Technometrics · 2005 · 3,234 citations
Representation Learning: A Review and New Perspectives
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2013 · 12,724 citations
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics
Information Sciences · 2013 · 1,562 citations
Deep learning
Nature · 2015 · 79,164 citations
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