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Uses finite-difference approximations to characterize how input changes affect neural-network credit predictions.
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.
BibTeX
@inproceedings{FiniteDifferenceCreditXai2025,
title = {Finite-Difference Approximation for Explaining Neural Network Predictions in Financial Credit Evaluation},
author = {M. Aziz, M. U. Danish, F. Iqbal, U. Rehman},
year = {2025},
booktitle = {International Conference on Advanced Machine Learning and Data Science},
doi = {10.1109/AMLDS63918.2025.11159472}
}