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A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data
16 references·0 citing·44 second hop
A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data (2024)A spatial–temporal graph-based AI model f…Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data (2022)Credit risk prediction of SME…Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory (2020)Three-stage reject inference …Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Statistical and machine learn…Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining (2020)Financial Risk Analysis for S…Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network (2020)Financial Defaulter Detection…Two-stage consumer credit risk modelling using heterogeneous ensemble learning (2019)Two-stage consumer credit ris…Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning (2018)Study on a prediction of P2P …Predicting mortgage default using convolutional neural networks (2018)Predicting mortgage default u…Information technology for competitive advantage within logistics and supply chains: A review (2017)Information technology for co…Risk management of logistics systems (2016)Risk management of logistics …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Investigation and improvement of multi-layer perceptron neural networks for credit scoring (2014)Investigation and improvement…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Good practice in retail credit scorecard assessment (2005)Good practice in retail credi…Neural network credit scoring models (2000)Neural network credit scoring…The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics (1981)The Travel-Activity Patterns …Credit Scoring and Its Applications (2002)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Digitalisation and Big Data Mining in Banking (2018)Review of bankruptcy prediction using machine learning and deep learning techniques (2019)A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)Location and Space-Economy. (1958)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Foundations of Social Research. (1977)Job Search and the Occupational Segregation of Women (1991)Place‐Based versus People‐Based Geographic Information Science (2007)How GIS can help address the uncertain geographic context problem in social science research (2012)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)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Machine behaviour (2019)Dynamic capabilities and strategic management (1997)Dynamic capabilities: what are they? 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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2018Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning444 cited
  • 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
  • 2017Information technology for competitive advantage within logistics and supply chains: A review351 cited
  • 2014Investigation and improvement of multi-layer perceptron neural networks for credit scoring230 cited
  • 1981The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics205 cited
  • 2019Two-stage consumer credit risk modelling using heterogeneous ensemble learning182 cited
  • 2018Predicting mortgage default using convolutional neural networks181 cited
  • 2016Risk management of logistics systems148 cited
  • 2020Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network134 cited
  • 2020Three-stage reject inference learning framework for credit scoring using unsupervised transfer learning and three-way decision theory120 cited

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  • 2005Good practice in retail credit scorecard assessment117 cited
  • 2022Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data103 cited
  • 2020Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining89 cited
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