SONGETA DHAR. Machine Learning for Financial-Statement Anomaly Detection in U.S. Small and Mid-Sized Enterprises: A Quantitative Study Using Gradient Boosting and SHAP. American Journal of Interdisciplinary Studies, [S. l.], v. 16, n. 08, p. 94–127, 2026. DOI: 10.63125/61wry195. Disponível em: https://ajisresearch.com/index.php/ajis/article/view/178. Acesso em: 8 nov. 2026.