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Personal bankruptcy prediction using machine learning techniques
16 references·0 citing·44 second hopsampled
Personal bankruptcy prediction using machine learning techniques (2024)Personal bankruptcy prediction using mach…No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure (2022)No more black boxes! Explaini…Machine learning-driven credit risk: a systemic review (2022)Machine learning-driven credi…Corporate finance risk prediction based on LightGBM (2022)Corporate finance risk predic…Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Assessing credit risk of comm…Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Forecasting gold price with t…CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)CatBoost model and artificial…Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries (2019)Systematic review of variable…Data analytic approach for bankruptcy prediction (2019)Data analytic approach for ba…Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset (2018)Oversampling Techniques for B…Machine learning models and bankruptcy prediction (2017)Machine learning models and b…Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction (2016)Performance Comparison of Mul…Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study (2016)Financial ratios and corporat…Household Debt and Social Interactions (2014)Household Debt and Social Int…AdaBoost based bankruptcy forecasting of Korean construction companies (2014)AdaBoost based bankruptcy for…Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks (2008)Bankruptcy forecasting: An em…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Contributions to the Theory of Games (1952)An analog of the minimax theorem for vector payoffs (1956)Contributions to the theory of games. 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International evidence (2010)Palladium Price Predictions via Machine Learning (2024)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Thermal coal futures trading volume predictions through the neural network (2024)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Corporate financing and investment decisions when firms have information that investors do not have (1984)Evolutions in machine learning technology for financial distress prediction: A comprehensive review and comparative analysis (2023)Financial risk prediction in supply chain finance based on buyer transaction behavior (2023)Assessing financial distress of SMEs through event propagation: An adaptive interpretable graph contrastive learning model (2024)Machine Learning in Banking Risk Management: A Literature Review (2019)Toward interpretable credit scoring: integrating explainable artificial intelligence with deep learning for credit card default prediction (2023)Attention-based dynamic multilayer graph neural networks for loan default prediction (2024)Credit Risk Prediction Using Machine Learning and Deep Learning: A Study on Credit Card Customers (2024)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)
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References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,503 cited
  • 2017Machine learning models and bankruptcy prediction952 cited
  • 2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
  • 2021CatBoost model and artificial intelligence techniques for corporate failure prediction397 cited
  • 2021Forecasting gold price with the XGBoost algorithm and SHAP interaction values334 cited
  • 2008Bankruptcy forecasting: An empirical comparison of AdaBoost and neural networks290 cited
  • 2022Corporate finance risk prediction based on LightGBM231 cited
  • 2014Household Debt and Social Interactions205 cited
  • 2022Machine learning-driven credit risk: a systemic review195 cited
  • 2019Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries152 cited
  • 2019Data analytic approach for bankruptcy prediction142 cited
  • 2022Assessing credit risk of commercial customers using hybrid machine learning algorithms130 cited
  • 2014AdaBoost based bankruptcy forecasting of Korean construction companies125 cited
  • 2022No more black boxes! Explaining the predictions of a machine learning XGBoost classifier algorithm in business failure97 cited

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  • 2018Oversampling Techniques for Bankruptcy Prediction: Novel Features from a Transaction Dataset88 cited
  • 2016Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction86 cited
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