References

• 2021Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects438 cited
• 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
• 2023The innovation effect of administrative hierarchy on intercity connection: The machine learning of twin cities139 cited
• 2023A Deep Neural Network-Based Assistive Decision Method for Financial Risk Prediction in Carbon Trading Market135 cited
• 2023A new approach to neural network via double hierarchy linguistic information: Application in robot selection83 cited
• 2021The impact of machine learning on UK financial services51 cited
• 2023Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach47 cited
• 2020Machine learning predictivity applied to consumer creditworthiness39 cited
• 2019Towards Repayment Prediction in Peer-to-Peer Social Lending Using Deep Learning38 cited
• 2023Interpretable selective learning in credit risk31 cited
• 2021Research on Credit Card Default Prediction Based on k-Means SMOTE and BP Neural Network25 cited
• 2017Credit Risk Assessment Using Machine Learning Algorithms22 cited
• 2018A hybrid interpretable credit card users default prediction model based on RIPPER19 cited
• 2023Identification of Customer Churn Considering Difficult Case Mining