SHAP
An explainable artificial intelligence method grounded in cooperative game theory used to compute feature-level contributions to model predictions.
Source: Deep Transformer Architectures for Real-Time E-Payment Fraud Detection Under Class Imbalance (Academic research) · p.3
Reports that mention SHAP
- Adaptive Management of Commercial Banks' Securities Portfolios Using Explainable Artificial IntelligenceAcademic research
- Capital Requirements: A Pillar or a Burden for Bank Competitiveness?European Central Bank
- Explainable Artificial Intelligence (XAI) in the Banking Sector: A Review of Techniques for Transparent Credit, Fraud and Compliance DecisionsAcademic research
- The Role of the International FinTech Market in Shaping Investment Support for Global Food SecurityAcademic research
- An Empirical Study on the Use of Generative AI for Financial Decision-Making Among Corporate Employees in BengaluruAcademic research
- Deep-π*: A Neural Network Estimate of Trend InflationEuropean Central Bank
- Voting Ensemble Framework with SMOTE for Financial Fraud Detection in Highly Imbalanced Transaction DataAcademic research
- Basel III and the Transformation of the Banking Model: A Theoretical Analysis of Trade-offs Between Solvency, Liquidity, Funding and PerformanceAcademic research
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