Neuro-Symbolic Artificial Intelligence for Secure, Explainable, and Intelligent Banking and FinTech Systems: Fraud Detection, Credit Risk, Financial Forecasting, and Transaction Security
On the IEEE-CIS fraud benchmark the proposed framework achieved an F1 score of 0.79, with precision of 0.81, recall of 0.77 and a false positive rate of 0.9 percent.