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A qualitatively analyzable two-stage ensemble model based on machine learning for credit risk early warning: Evidence from Chinese manufacturing companies
16 references·3 citing·50 second hop
A qualitatively analyzable two-stage ensemble model based on machine learning for credit risk early warning: Evidence from Chinese manufacturing companies (2023)A qualitatively analyzable two-stage ense…Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data (2022)Credit risk prediction of SME…Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods (2021)Multi-class financial distres…Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Machine learning for credit s…Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Statistical and machine learn…Deep learning in finance and banking: A literature review and classification (2020)Deep learning in finance and …A benchmark of machine learning approaches for credit score prediction (2020)A benchmark of machine learni…Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach (2019)Forecasting SMEs' credit risk…Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach (2018)Algorithmic financial trading…A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)A boosted decision tree appro…Technology credit scoring model with fuzzy logistic regression (2016)Technology credit scoring mod…A two-stage classification technique for bankruptcy prediction (2016)A two-stage classification te…The effect of feature selection on financial distress prediction (2014)The effect of feature selecti…Genetic algorithm-based heuristic for feature selection in credit risk assessment (2013)Genetic algorithm-based heuri…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…Corporate Financial Distress and Bankruptcy (2005)Corporate Financial Distress …A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review (2024)How can artificial intelligen…Corporate financial distress prediction using the risk-related information content of annual reports (2024)Corporate financial distress …A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies (2024)A novel URP-CNN model for bon…Credit scoring with a data mining approach based on support vector machines (2006)Consumer credit-risk models via machine-learning algorithms (2010)Research design and statistical analysis (2011)Information gain directed genetic algorithm wrapper feature selection for credit rating (2018)COVID-19 and stock market volatility: An industry level analysis (2020)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)CatBoost model and artificial intelligence techniques for corporate failure prediction (2021)Forecasting gold price with the XGBoost algorithm and SHAP interaction values (2021)Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. (1978)Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning for financial applications : A survey (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Credit Rationing in Markets with Imperfect Information (1981)Neural network credit scoring models (2000)Perspectives in supply chain risk management (2006)Artificial intelligence in operations management and supply chain management: an exploratory case study (2021)Future of artificial intelligence and its influence on supply chain risk management – A systematic review (2022)AI integration in financial services: a systematic review of trends and regulatory challenges (2025)A neural network model for bankruptcy prediction (1990)Machine learning models and bankruptcy prediction (2017)A new deep learning ensemble credit risk evaluation model with an improved synthetic minority oversampling technique (2020)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research (2021)Application of decision-making techniques in supplier selection: A systematic review of literature (2012)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Financial inclusion in China: an overview (2021)Examining the research taxonomy of artificial intelligence, deep learning & machine learning in the financial sphere—a bibliometric analysis (2023)Financial applications of machine learning: A literature review (2023)Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending (2014)Instance-based credit risk assessment for investment decisions in P2P lending (2015)Risk assessment in social lending via random forests (2015)Algorithmic discrimination in the credit domain: what do we know about it? (2023)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)Comparing Predictive Accuracy (1994)Comparing Predictive Accuracy (1995)Credit default prediction from user-generated text in peer-to-peer lending using deep learning (2021)A two-stage hybrid credit risk prediction model based on XGBoost and graph-based deep neural network (2022)Big data, artificial intelligence and machine learning: A transformative symbiosis in favour of financial technology (2022)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending (2017)Is the Risk of Bankruptcy a Systematic Risk? (1998)The Long‐Run Stock Returns Following Bond Ratings Changes (2001)The effects of government ownership on bank lending (2003)
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References

  • 2005Corporate Financial Distress and Bankruptcy1,126 cited
  • 2017A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring770 cited
  • 2018Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach448 cited
  • 2021Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects438 cited
  • 2013Genetic algorithm-based heuristic for feature selection in credit risk assessment430 cited
  • 2020Statistical and machine learning models in credit scoring: A systematic literature survey410 cited
  • 2019Forecasting SMEs' credit risk in supply chain finance with an enhanced hybrid ensemble machine learning approach387 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2020Deep learning in finance and banking: A literature review and classification268 cited
  • 2020A benchmark of machine learning approaches for credit score prediction253 cited
  • 2014The effect of feature selection on financial distress prediction234 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2016Technology credit scoring model with fuzzy logistic regression155 cited
  • 2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods

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144 cited
  • 2016A two-stage classification technique for bankruptcy prediction142 cited
  • 2022Credit risk prediction of SMEs in supply chain finance by fusing demographic and behavioral data103 cited
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    • 2024Corporate financial distress prediction using the risk-related information content of annual reports47 cited
    • 2024How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review20 cited
    • 2024A novel URP-CNN model for bond credit risk evaluation of Chinese listed companies16 cited