Similar Items
Enhancing ML Models Interpretability for Credit Scoring
by: Schwartz, Sagi, et al.
Published: (2025)
by: Schwartz, Sagi, et al.
Published: (2025)
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
by: Wang, Daixin, et al.
Published: (2024)
by: Wang, Daixin, et al.
Published: (2024)
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
by: Kündig, Pascal, et al.
Published: (2024)
by: Kündig, Pascal, et al.
Published: (2024)
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
by: Golec, Muhammed, et al.
Published: (2025)
by: Golec, Muhammed, et al.
Published: (2025)
The Fairness of Credit Scoring Models
by: Hurlin, Christophe, et al.
Published: (2022)
by: Hurlin, Christophe, et al.
Published: (2022)
Could Large Language Models work as Post-hoc Explainability Tools in Credit Risk Models?
by: Geng, Wenxi, et al.
Published: (2026)
by: Geng, Wenxi, et al.
Published: (2026)
SHAP Stability in Credit Risk Management: A Case Study in Credit Card Default Model
by: Lin, Luyun, et al.
Published: (2025)
by: Lin, Luyun, et al.
Published: (2025)
Improving Fairness in Credit Lending Models using Subgroup Threshold Optimization
by: Ying, Cecilia, et al.
Published: (2024)
by: Ying, Cecilia, et al.
Published: (2024)
Conditional Generative Modeling for Enhanced Credit Risk Management in Supply Chain Finance
by: Zhang, Qingkai, et al.
Published: (2025)
by: Zhang, Qingkai, et al.
Published: (2025)
Machine and Deep Learning for Credit Scoring: A compliant approach
by: Rida, Abdollah
Published: (2024)
by: Rida, Abdollah
Published: (2024)
FSL-BDP: Federated Survival Learning with Bayesian Differential Privacy for Credit Risk Modeling
by: Amed, Sultan, et al.
Published: (2026)
by: Amed, Sultan, et al.
Published: (2026)
Multimodal Insights into Credit Risk Modelling: Integrating Climate and Text Data for Default Prediction
by: Wu, Zongxiao, et al.
Published: (2026)
by: Wu, Zongxiao, et al.
Published: (2026)
Spurious Default Probability Projections in Credit Risk Stress Testing Models
by: Engelmann, Bernd
Published: (2024)
by: Engelmann, Bernd
Published: (2024)
Evaluating Credit VIX (CDS IV) Prediction Methods with Incremental Batch Learning
by: Taylor, Robert
Published: (2024)
by: Taylor, Robert
Published: (2024)
Modelling Prepayment and Default under Changing Credit Market Conditions for a Net Present Value Analysis
by: Lorenzo, Quirini, et al.
Published: (2025)
by: Lorenzo, Quirini, et al.
Published: (2025)
Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring
by: Li, Xia, et al.
Published: (2025)
by: Li, Xia, et al.
Published: (2025)
Leveraging Convolutional Neural Network-Transformer Synergy for Predictive Modeling in Risk-Based Applications
by: Wang, Yuhan, et al.
Published: (2024)
by: Wang, Yuhan, et al.
Published: (2024)
Application of AI in Credit Risk Scoring for Small Business Loans: A case study on how AI-based random forest model improves a Delphi model outcome in the case of Azerbaijani SMEs
by: Karimova, Nigar
Published: (2024)
by: Karimova, Nigar
Published: (2024)
Why Bonds Fail Differently? Explainable Multimodal Learning for Multi-Class Default Prediction
by: Lu, Yi, et al.
Published: (2025)
by: Lu, Yi, et al.
Published: (2025)
Unveiling the Potential of Graph Neural Networks in SME Credit Risk Assessment
by: Liu, Bingyao, et al.
Published: (2024)
by: Liu, Bingyao, et al.
Published: (2024)
Multimodal Generative Models for Bankruptcy Prediction Using Textual Data
by: Mancisidor, Rogelio A., et al.
Published: (2022)
by: Mancisidor, Rogelio A., et al.
Published: (2022)
Combining Intra-Risk and Contagion Risk for Enterprise Bankruptcy Prediction Using Graph Neural Networks
by: Zhao, Yu, et al.
Published: (2022)
by: Zhao, Yu, et al.
Published: (2022)
Research on Credit Risk Early Warning Model of Commercial Banks Based on Neural Network Algorithm
by: Cheng, Yu, et al.
Published: (2024)
by: Cheng, Yu, et al.
Published: (2024)
Advanced Risk Prediction and Stability Assessment of Banks Using Time Series Transformer Models
by: Sun, Wenying, et al.
Published: (2024)
by: Sun, Wenying, et al.
Published: (2024)
Implementation of an Asymmetric Adjusted Activation Function for Class Imbalance Credit Scoring
by: Li, Xia, et al.
Published: (2025)
by: Li, Xia, et al.
Published: (2025)
Loss-based Bayesian Sequential Prediction of Value at Risk with a Long-Memory and Non-linear Realized Volatility Model
by: Peiris, Rangika, et al.
Published: (2024)
by: Peiris, Rangika, et al.
Published: (2024)
Calibrated Credit Intelligence: Shift-Robust and Fair Risk Scoring with Bayesian Uncertainty and Gradient Boosting
by: Nayak, Srikumar
Published: (2026)
by: Nayak, Srikumar
Published: (2026)
Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces
by: Gerling, Christopher, et al.
Published: (2026)
by: Gerling, Christopher, et al.
Published: (2026)
Explainable Automated Machine Learning for Credit Decisions: Enhancing Human Artificial Intelligence Collaboration in Financial Engineering
by: Schmitt, Marc
Published: (2024)
by: Schmitt, Marc
Published: (2024)
The Merton's Default Risk Model for Public Company
by: Gankhuu, Battulga
Published: (2024)
by: Gankhuu, Battulga
Published: (2024)
Robust and Efficient Deep Hedging via Linearized Objective Neural Network
by: Zhao, Lei, et al.
Published: (2025)
by: Zhao, Lei, et al.
Published: (2025)
Model Risk Management for Generative AI In Financial Institutions
by: Bhattacharyya, Anwesha, et al.
Published: (2025)
by: Bhattacharyya, Anwesha, et al.
Published: (2025)
Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data
by: Padayachy, Kishan, et al.
Published: (2026)
by: Padayachy, Kishan, et al.
Published: (2026)
Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning
by: Han, Shanyu, et al.
Published: (2025)
by: Han, Shanyu, et al.
Published: (2025)
A Personal data Value at Risk Approach
by: Enriquez, Luis
Published: (2024)
by: Enriquez, Luis
Published: (2024)
Deep Reinforcement Learning for Optimal Asset Allocation Using DDPG with TiDE
by: Liu, Rongwei, et al.
Published: (2025)
by: Liu, Rongwei, et al.
Published: (2025)
Credit Scores: Performance and Equity
by: Albanesi, Stefania, et al.
Published: (2024)
by: Albanesi, Stefania, et al.
Published: (2024)
Fairness-Aware Insurance Pricing: A Multi-Objective Optimization Approach
by: Boonen, Tim J., et al.
Published: (2025)
by: Boonen, Tim J., et al.
Published: (2025)
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning
by: Mancilla, Javier, et al.
Published: (2024)
by: Mancilla, Javier, et al.
Published: (2024)
Assessing Uncertainty in Stock Returns: A Gaussian Mixture Distribution-Based Method
by: Wang, Yanlong, et al.
Published: (2025)
by: Wang, Yanlong, et al.
Published: (2025)
Similar Items
-
Enhancing ML Models Interpretability for Credit Scoring
by: Schwartz, Sagi, et al.
Published: (2025) -
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning
by: Wang, Daixin, et al.
Published: (2024) -
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios
by: Kündig, Pascal, et al.
Published: (2024) -
Interpretable LLMs for Credit Risk: A Systematic Review and Taxonomy
by: Golec, Muhammed, et al.
Published: (2025) -
The Fairness of Credit Scoring Models
by: Hurlin, Christophe, et al.
Published: (2022)