Explainability applied to fraud detection
Constructing probabilistic rule list.
Supervised deep learning for fraud detection
Evaluating supervised deep learning for credit card fraud detection on imbalanced tabular data.
Rules Extraction
Extracting readable rules from machine learning models for payment fraud detection.
Explaining classifiers
Comparing LIME and SHAP explanations of credit card fraud classifiers.