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Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach
11 references·0 citing·44 second hop
Predicting Credit Risk for Unsecured Lending: A Machine Learning Approach (2021)Predicting Credit Risk for Unsecured Lend…Modelling customers credit card behaviour using bidirectional LSTM neural networks (2021)Modelling customers credit ca…The Application of Machine Learning Algorithms in Credit Card Default Prediction (2020)The Application of Machine Le…Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Machine learning techniques f…Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control (2020)Improved ML-Based Technique f…Prediction of Default Probability of Credit-Card Bills (2019)Prediction of Default Probabi…Integration of unsupervised and supervised machine learning algorithms for credit risk assessment (2019)Integration of unsupervised a…Machine Learning Approaches to Predict Default of Credit Card Clients (2018)Machine Learning Approaches t…Credit Risk Analysis Using Machine and Deep Learning Models (2018)Credit Risk Analysis Using Ma…Comparison of Several Data Mining Methods in Credit Card Default Prediction (2018)Comparison of Several Data Mi…Analysis of Financial Credit Risk Using Machine Learning (2017)Analysis of Financial Credit …Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Neural networks for credit ri…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)Hybrid system with genetic algorithm and artificial neural networks and its application to retail credit risk assessment (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)Bankruptcy prediction using neural networks (1994)Probabilistic Neural Networks in Bankruptcy Prediction (1999)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Credit Fraud Detection Based on Hybrid Credit Scoring Model (2020)A Gaussian process‐based approach toward credit risk modeling using stationary activations (2021)Minimalistic Logit Model as an Effective Tool for Predicting the Risk of Financial Distress in the Visegrad Group (2022)The Estimation of the Lorenz Curve and Gini Index (1972)Consumer credit-risk models via machine-learning algorithms (2010)Machine Learning in Banking Risk Management: A Literature Review (2019)Deep learning for credit scoring: Do or don’t? 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this work references cited by second hop

References

  • 2018Credit Risk Analysis Using Machine and Deep Learning Models318 cited
  • 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
  • 2020Machine learning techniques for credit risk evaluation: a systematic literature review226 cited
  • 2019Integration of unsupervised and supervised machine learning algorithms for credit risk assessment176 cited
  • 2021Modelling customers credit card behaviour using bidirectional LSTM neural networks78 cited
  • 2018Comparison of Several Data Mining Methods in Credit Card Default Prediction44 cited
  • 2020Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control27 cited
  • 2017Analysis of Financial Credit Risk Using Machine Learning19 cited
  • 2020The Application of Machine Learning Algorithms in Credit Card Default Prediction17 cited
  • 2018Machine Learning Approaches to Predict Default of Credit Card Clients11 cited
  • 2019Prediction of Default Probability of Credit-Card Bills11 cited

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