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Integration of CNN Models and Machine Learning Methods in Credit Score Classification: 2D Image Transformation and Feature Extraction
15 references·0 citing·48 second hop
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References

  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2013Classification situations: Life-chances in the neoliberal era543 cited
  • 2022Forecast evaluation for data scientists: common pitfalls and best practices286 cited
  • 2018The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics215 cited
  • 2021Data science and AI in FinTech: an overview204 cited
  • 2023Transforming Financial Decision-Making: The Interplay of AI, Cloud Computing and Advanced Data Management Technologies95 cited
  • 2019Credit Scoring Using Machine Learning by Combing Social Network Information: Evidence from Peer-to-Peer Lending70 cited
  • 2022Bagging Supervised Autoencoder Classifier for credit scoring66 cited
  • 2016Credit scoring with a feature selection approach based deep learning55 cited
  • 2018Generalized fuzzy soft sets theory‐based novel hybrid ensemble credit scoring model37 cited
  • 2022BACS: blockchain and AutoML-based technology for efficient credit scoring classification35 cited
  • 2020Review of Machine Learning models for Credit Scoring Analysis

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34 cited
  • 2024Financial Risk Early Warning Model for Listed Companies Using BP Neural Network and Rough Set Theory30 cited
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