Distributional Feature Separability for Explainability of Neural Networks for Financial Credit Evaluation

Overview

Explains credit-model behavior through the distributional separation of features associated with model decisions.

Research context

This work contributes to Interpretability. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.

@inproceedings{DistributionalFeatureSeparability2025,
  title = {Distributional Feature Separability for Explainability of Neural Networks for Financial Credit Evaluation},
  author = {M. Aziz, M. U. Danish,, U. Rehman},
  year = {2025},
  booktitle = {IEEE Conference on AI, Science, Engineering, and Technology (AIxSET)}
}