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Reject inference, augmentation, and sample selection
2 references·15 citing·43 second hop
Reject inference, augmentation, and sample selection (2007)Reject inference, augmentation, and sampl…Sample selection bias in credit scoring models (2003)Sample selection bias in cred…Does reject inference really improve the performance of application scoring models? (2003)Does reject inference really …Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art (2024)Advancing credit risk modelli…Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Consumer credit risk assessme…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…Reject inference in credit scoring using a three-way decision and safe semi-supervised support vector machine (2022)Reject inference in credit sc…Reject inference methods in credit scoring (2021)Reject inference methods in c…A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring (2021)A graph-based semi-supervised…Deep generative models for reject inference in credit scoring (2020)Deep generative models for re…A new approach in reject inference of using ensemble learning based on global semi-supervised framework (2020)A new approach in reject infe…Using Bayesian networks to perform reject inference (2019)Using Bayesian networks to pe…A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending (2019)A Novel Reject Inference Mode…A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending (2018)A rejection inference techniq…Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model (2015)Bankruptcy prediction of smal…A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models (2015)A comparative analysis of the…Reject inference in survival analysis by augmentation (2009)Reject inference in survival …Credit scoring and decision making in Egyptian public sector banks (2009)Credit scoring and decision m…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Forecasting Bankruptcy More Accurately: A Simple Hazard Model (2001)The internationalization and performance of SMEs (2001)The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach (2016)“Birds of a Feather” Fail Together: Exploring the Nature of Dependency in SME Defaults (2017)Textual analysis and corporate bankruptcy: A financial dictionary-based sentiment approach (2020)The demand for deductibles in private health insurance (1981)An econometric analysis of the bank credit scoring problem (1989)Good practice in retail credit scorecard assessment (2005)Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Credit Scoring and Its Applications (2002)Enterprise risk management: small business scorecard analysis (2009)Credit scoring for microfinance: is it worth it? (2011)Credit Scoring and Its Applications (2017)Statistical Challenges of Administrative and Transaction Data (2018)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)A more complete conceptual framework for SME finance (2006)Solvency prediction for small and medium enterprises in banking (2017)Topological applications of multilayer perceptrons and support vector machines in financial decision support systems (2018)SME default prediction: A systematic methodology-focused review (2023)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Application of Instance-Based Entropy Fuzzy Support Vector Machine in Peer-To-Peer Lending Investment Decision (2019)Improving Credit Risk Prediction in Online Peer-to-Peer (P2P) Lending Using Feature selection with Deep learning (2019)Predicting mortgage default using convolutional neural networks (2018)A CWGAN-GP-based multi-task learning model for consumer credit scoring (2022)Credit Rationing in Markets with Imperfect Information (1981)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach (2021)Risk-return modelling in the p2p lending market: Trends, gaps, recommendations and future directions (2021)P2P Lending Default Prediction Based on AI and Statistical Models (2022)A Coefficient of Agreement for Nominal Scales (1960)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A recent review on optimisation methods applied to credit scoring models (2023)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Equality of Opportunity in Supervised Learning (2016)Machine Learning for Enhanced Credit Risk Assessment: An Empirical Approach (2023)Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management (2024)Artificial Intelligence and Machine Learning in Credit Risk Assessment: Enhancing Accuracy and Ensuring Fairness (2024)The journal coverage of Web of Science and Scopus: a comparative analysis (2015)Guidance on Conducting a Systematic Literature Review (2017)
this work references cited by second hop

References

  • 2003Sample selection bias in credit scoring models130 cited
  • 2003Does reject inference really improve the performance of application scoring models?88 cited

Cited by

  • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
  • 2015Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model67 cited
  • 2020Deep generative models for reject inference in credit scoring53 cited
  • 2018A rejection inference technique based on contrastive pessimistic likelihood estimation for P2P lending48 cited
  • 2019A Novel Reject Inference Model Using Outlier Detection and Gradient Boosting Technique in Peer-to-Peer Lending44 cited
  • 2015A comparative analysis of the UK and Italian small businesses using Generalised Extreme Value models43 cited
  • 2024Advancing credit risk modelling with Machine Learning: A comprehensive review of the state-of-the-art42 cited
  • 2021A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring41 cited
  • 2022Reject inference in credit scoring using a three-way decision and safe semi-supervised support vector machine40 cited
  • 2019Using Bayesian networks to perform reject inference38 cited
  • 2009Credit scoring and decision making in Egyptian public sector banks

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28 cited
  • 2009Reject inference in survival analysis by augmentation25 cited
  • 2020A new approach in reject inference of using ensemble learning based on global semi-supervised framework20 cited
  • 2021Reject inference methods in credit scoring19 cited
  • 2022RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring17 cited