A Systematic Review of Machine Learning and Explainable Artificial Intelligence (XAI) in Credit Risk Modelling

Using neural network ensembles for bankruptcy prediction and credit scoring

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A historical perspective of explainable Artificial Intelligence

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Support vector machines for credit scoring and discovery of significant features

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CREDIT RISK AND COMMERCIAL BANKS’ PERFORMANCE IN NIGERIA: A PANEL MODEL APPROACH

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Statistical stability indices for LIME: Obtaining reliable explanations for machine learning models

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Evaluation of credit risk based on firm performance

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Corporate finance risk prediction based on LightGBM

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Credit scoring and rejected instances reassigning through evolutionary computation techniques

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Application of support vector machines to corporate credit rating prediction

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A study on predicting loan default based on the random forest algorithm

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Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach

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Bank Specific and Macroeconomics Dynamic Determinants of Credit Risk in Islamic Banks and Conventional Banks

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Loan default prediction using decision trees and random forest: A comparative study

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Explainable AI in Credit Risk ManagementPreprint

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Credit scorecard based on logistic regression with random coefficients

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Impact of risk management strategies on the credit risk faced by commercial banks of Balochistan

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Credit Risk Analysis Using Machine and Deep Learning ModelsPreprint

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Approaches for credit scorecard calibration: An empirical analysis

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Loan Default Prediction with Machine Learning Techniques

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Exploring the Machine Learning Algorithm for Prediction the Loan Sanctioning Process

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Assessing Credit Default using Logistic Regression and Multiple Discriminant Analysis:Empirical Evidence from Bosnia and Herzegovina

Memić, D. (2015) · Interdisciplinary Description of Complex Systems · doi:10.7906/indecs.13.1.13 · Cited by 16 · see citing works

Credit Risk Management of Commercial Banks in Nepal

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Customer Loan Prediction Using Supervised Learning Technique

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Credit Scoring Using Ensemble Machine Learning

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Application of XGBoost in P2P Default Prediction

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Analysis of Individual Loan Defaults Using Logit under Supervised Machine Learning Approach

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A Support Vector Machine Based Method for Credit Risk Assessment

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Study on Commercial Bank Credit Risk Based on Information Asymmetry

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The Study of Credit Risk Evaluation Based on DEA Method

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Recent Emerging Techniques in Explainable Artificial Intelligence to Enhance the Interpretable and Understanding of AI Models for Human

Mathew, D. E., Ebem, D. U., Ikegwu, A. C., Ukeoma, P. E., & Dibiaezue, N. F. (2025) · Neural Processing Letters · doi:10.1007/s11063-025-11732-2 · Cited by 168 · see citing works

Empowering Interpretable, Explainable Machine Learning Using Bayesian Network Classifiers

Lerner, B. (2023) · Springer eBooks · doi:10.1007/978-3-031-24628-9_7

Development of Interpretable Machine Learning Models to Detect Arrhythmia based on ECG DataPreprint

Verma, S. (2022) · arXiv (Cornell University) · doi:10.48550/arxiv.2205.02803 · Cited by 6 · see citing works

An Introduction on Interpretable Machine Learning

(2020) · International Journal of Innovative Technology and Exploring Engineering · doi:10.35940/ijitee.g1023.0597s20 · Cited by 8 · see citing works

An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's DiseasePreprint

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An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning

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