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A. Raharjo

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Open access Jul 2026

Ensemble Oversampling for Financial Fraud Classification of Imbalanced Data

The combined oversampling of GAN and SMOTE with the CNN classifier model produces the highest evaluation score, and shows that augmented data quality does affect prediction performance, and Ensemble Oversampling technique could be considered to improve classifier performance in financial fraud data.

Moch Deny Pratama, A. Raharjo, Diana Purwitasari · IPTEK: The Journal for Techn... · 0 citations