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Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory
3 references·16 citing·52 second hop
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
  • 2017Reject inference in credit scoring using Semi-supervised Support Vector Machines132 cited

Cited by

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  • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
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  • 2021How to identify early defaults in online lending: A cost-sensitive multi-layer learning framework46 cited
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  • 2020The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq37 cited
  • 2022A CWGAN-GP-based multi-task learning model for consumer credit scoring28 cited
  • 2021Machine learning approach to drivers of bank lending: evidence from an emerging economy

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25 cited
  • 2021Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms24 cited
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  • 2024Credit risk prediction based on an interpretable three-way decision method: Evidence from Chinese SMEs22 cited
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  • 2024Investigating the beneficial impact of segmentation-based modelling for credit scoring20 cited
  • 2021A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification19 cited