A systematic literature review of ML applications in credit risk assessment (CRA), covering publications from January 2016 to May 2026, synthesise prevailing methodologies into a unified end-to-end credit risk modelling framework spanning data preprocessing, feature engineering, model training, evaluation, and operatio...
Bo-Lun Zhang, Jun Luo, Ruobing Wu et al.· Journal of Risk and Financia...· 1 citation
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