Thivaios, S., Kostopoulos, G., Stefani, A., & Kotsiantis, S. (2026). A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges. Algorithms, 19(5), 354. https://doi.org/10.3390/a19050354
Chicago Style (17th ed.) CitationThivaios, Spiros, Georgios Kostopoulos, Antonia Stefani, and Sotiris Kotsiantis. "A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges." Algorithms 19, no. 5 (2026): 354. https://doi.org/10.3390/a19050354.
MLA (9th ed.) CitationThivaios, Spiros, et al. "A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges." Algorithms, vol. 19, no. 5, 2026, p. 354, https://doi.org/10.3390/a19050354.