Evaluating The Effectiveness of Augmentation and Classifier Algorithms for Fraud Detection: Comparing CGAN and SMOTE with Random Forest and XGBoost. Applied Information System and Management (AISM), [S. l.], v. 8, n. 2, p. 221–230, 2025. DOI: 10.15408/aism.v8i2.46308. Disponível em: https://journal.uinjkt.ac.id/index.php/aism/article/view/46308. Acesso em: 9 oct. 2025.