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Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending
16 references·1 citing·42 second hop
Deep learning meets decision trees: An application of a heterogeneous deep forest approach in credit scoring for online consumer lending (2022)Deep learning meets decision trees: An ap…Deep learning for credit scoring: Do or don’t? (2021)Deep learning for credit scor…Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Statistical and machine learn…On the Rise of FinTechs: Credit Scoring Using Digital Footprints (2019)On the Rise of FinTechs: Cred…Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)Information gain directed gen…Impact of digital finance on financial inclusion and stability (2018)Impact of digital finance on …Fintech, regulatory arbitrage, and the rise of shadow banks (2018)Fintech, regulatory arbitrage…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending (2016)The use of profit scoring as …Risk assessment in social lending via random forests (2015)Risk assessment in social len…Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Micro and Macro Determinants of Non-performing Loans (2013)Micro and Macro Determinants …Practical Bayesian Optimization of Machine Learning Algorithms (2012)Practical Bayesian Optimizati…Herding behavior in online P2P lending: An empirical investigation (2012)Herding behavior in online P2…Credit risk assessment with a multistage neural network ensemble learning approach (2007)Credit risk assessment with a…A risk-factor model foundation for ratings-based bank capital rules (2003)A risk-factor model foundatio…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Credit scoring model for fintech lending: An integration of large language models and FocalPoly loss (2024)Credit scoring model for fint…Credit scoring with a data mining approach based on support vector machines (2006)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)A benchmark of machine learning approaches for credit score prediction (2020)Fairness in Machine Learning (2020)What have we learnt from 10 years of fintech research? a scientometric analysis (2020)The Pricing of Options and Corporate Liabilities (1973)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)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Coherent Measures of Risk (1999)Conditional value-at-risk for general loss distributions (2002)On the coherence of expected shortfall (2002)Market discipline, disclosure and moral hazard in banking (2006)Common Failings: How Corporate Defaults Are Correlated (2007)Does Competition Reduce the Risk of Bank Failure? 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References

  • 2012Practical Bayesian Optimization of Machine Learning Algorithms6,690 cited
  • 2018Impact of digital finance on financial inclusion and stability2,124 cited
  • 2018Fintech, regulatory arbitrage, and the rise of shadow banks1,803 cited
  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2019On the Rise of FinTechs: Credit Scoring Using Digital Footprints913 cited
  • 2003A risk-factor model foundation for ratings-based bank capital rules869 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
  • 2015Risk assessment in social lending via random forests398 cited
  • 2013Micro and Macro Determinants of Non-performing Loans383 cited
  • 2012Herding behavior in online P2P lending: An empirical investigation357 cited
  • 2007Credit risk assessment with a multistage neural network ensemble learning approach310 cited
  • 2018Information gain directed genetic algorithm wrapper feature selection for credit rating300 cited

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  • 2016The use of profit scoring as an alternative to credit scoring systems in peer-to-peer (P2P) lending253 cited
  • 2021Deep learning for credit scoring: Do or don’t?241 cited
  • Cited by

    • 2024Credit scoring model for fintech lending: An integration of large language models and FocalPoly loss15 cited