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A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm
9 references·0 citing·33 second hop
A dynamic financial risk prediction system for enterprises based on gradient boosting decision tree algorithm (2025)A dynamic financial risk prediction syste…Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management (2024)Advancing financial resilienc…Tree-based heterogeneous cascade ensemble model for credit scoring (2022)Tree-based heterogeneous casc…Machine learning and artificial neural networks to construct P2P lending credit-scoring model: A case using Lending Club data (2022)Machine learning and artifici…Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises (2022)Effects of classification, fe…Construction of a financial default risk prediction model based on the LightGBM algorithm (2022)Construction of a financial d…A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance (2022)A Hybrid XGBoost-MLP Model fo…Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises (2021)Using Machine Learning Approa…PREDICTING THE LITIGATION OUTCOME OF PPP PROJECT DISPUTES BETWEEN PUBLIC AUTHORITY AND PRIVATE PARTNER USING AN ENSEMBLE MODEL (2021)PREDICTING THE LITIGATION OUT…A DYNAMIC CREDIT SCORING MODEL BASED ON SURVIVAL GRADIENT BOOSTING DECISION TREE APPROACH (2020)A DYNAMIC CREDIT SCORING MODE…Neural network credit scoring models (2000)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Incorporating multilevel macroeconomic variables into credit scoring for online consumer lending (2021)Joint models for longitudinal and discrete survival data in credit scoring (2022)Machine learning powered financial credit scoring: a systematic literature review (2025)On the Fintech Revolution: Interpreting the Forces of Innovation, Disruption, and Transformation in Financial Services (2018)The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018)Empirical Asset Pricing via Machine Learning (2020)Optimized backpropagation neural network for risk prediction in corporate financial management (2023)Granting and Renegotiating Infrastructure Concessions (2004)Encyclopedia of case study research (2010)Encyclopedia of Case Study Research (2010)Mapping Studies on Sustainability in the Performance Measurement of Public-Private Partnership Projects: A Systematic Review (2022)A neural network model for bankruptcy prediction (1990)Digital Economics (2019)A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020)Exploring causal recipes of startup acceptance into business incubators: a cross-country study (2023)Comparative analysis of boosting algorithms for predicting personal default (2025)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Enhancing transparency and fairness in automated credit decisions: an explainable novel hybrid machine learning approach (2024)Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction (2024)Performance Evaluation of Hybrid Machine Learning Algorithms for Online Lending Credit Risk Prediction (2024)A comparative assessment of ensemble learning for credit scoring (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A novel cryptocurrency price trend forecasting model based on LightGBM (2018)Credit rating prediction with supply chain information: a machine learning perspective (2023)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data (2024)Farmers' credit risk evaluation with an explainable hybrid ensemble approach: A closer look in microfinance (2024)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses (2007)
this work references cited by second hop

References

  • 2022A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance71 cited
  • 2022Machine learning and artificial neural networks to construct P2P lending credit-scoring model: A case using Lending Club data52 cited
  • 2020A DYNAMIC CREDIT SCORING MODEL BASED ON SURVIVAL GRADIENT BOOSTING DECISION TREE APPROACH50 cited
  • 2021PREDICTING THE LITIGATION OUTCOME OF PPP PROJECT DISPUTES BETWEEN PUBLIC AUTHORITY AND PRIVATE PARTNER USING AN ENSEMBLE MODEL47 cited
  • 2022Tree-based heterogeneous cascade ensemble model for credit scoring40 cited
  • 2024Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management38 cited
  • 2022Construction of a financial default risk prediction model based on the LightGBM algorithm37 cited
  • 2021Using Machine Learning Approach to Evaluate the Excessive Financialization Risks of Trading Enterprises32 cited
  • 2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises25 cited

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