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Deep reinforcement learning imbalanced credit risk of SMEs in supply chain finance
16 references·0 citing·58 second hopsampled
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References

  • 2008Facility location and supply chain management – A review1,948 cited
  • 2004INFORMATION PROCESSING, KNOWLEDGE DEVELOPMENT, AND STRATEGIC SUPPLY CHAIN PERFORMANCE.812 cited
  • 2018Supply chain finance: A systematic literature review and bibliometric analysis778 cited
  • 2016Supply chain finance: a literature review532 cited
  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 2008Incorporating sustainability criteria into credit risk management331 cited
  • 2018Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions320 cited
  • 2017Inclusive finance for inclusive growth and development248 cited
  • 2016Supply chain finance: Optimal introduction and adoption decisions234 cited
  • 2019Towards an integrated conceptual framework of supply chain finance: An information processing perspective228 cited
  • 2021FinTech as a Game Changer: Overview of Research Frontiers205 cited
  • 2014Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms203 cited
  • 2017Cost-sensitive boosted tree for loan evaluation in peer-to-peer lending189 cited
  • 2011Benchmarking regression algorithms for loss given default modeling

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186 cited
  • 2021Credit Shock Propagation Along Supply Chains: Evidence from the CDS Market186 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited
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