SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Mining Cross Features for Financial Credit Risk Assessment
3 references·1 citing·17 second hop
Mining Cross Features for Financial Credit Risk Assessment (2021)Mining Cross Features for Financial Credi…E.T.-RNN (2019)E.T.-RNNCredit scoring with boosted decision trees (2007)Credit scoring with boosted d…Neural network credit scoring models (2000)Neural network credit scoring…RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring (2022)RMT-Net: Reject-aware Multi-T…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Statistical and data mining methods in credit scoring (2016)Machine Learning based Cibil Verification System (2020)A survey of machine learning in credit risk (2021)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Understanding the Performance of Machine Learning Models to Predict Credit Default: A Novel Approach for Supervisory Evaluation (2021)Construction of a financial default risk prediction model based on the LightGBM algorithm (2022)Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction (2022)The self-normalized estimator for counterfactual learning (2015)Reject inference in credit scoring using Semi-supervised Support Vector Machines (2017)Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring (2023)Best practices for responsible machine learning in credit scoring (2025)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 2019E.T.-RNN100 cited
  • 2007Credit scoring with boosted decision trees41 cited

Cited by

  • 2022RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring17 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work