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Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model
13 references·4 citing·39 second hop
Credit Risk Analysis Using a Reliability-Based Neural Network Ensemble Model (2006)Credit Risk Analysis Using a Reliability-…A survey of the issues in consumer credit modelling research (2005)A survey of the issues in con…A new fuzzy support vector machine to evaluate credit risk (2005)A new fuzzy support vector ma…A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates (2004)A novel nonlinear ensemble fo…Evaluating consumer loans using neural networks (2003)Evaluating consumer loans usi…Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Credit scoring and rejected i…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…A support vector machine approach to credit scoring (2003)A support vector machine appr…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Financial credit-risk evaluation with neural and neurofuzzy systems (1999)Financial credit-risk evaluat…Genetic algorithms applications in the analysis of insolvency risk (1998)Genetic algorithms applicatio…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Feature Selection Engineering for Credit Risk Assessment in Retail Banking (2023)Feature Selection Engineering…Utilizing historical data for corporate credit rating assessment (2020)Utilizing historical data for…Comparative Analysis of Random Forest, REP Tree and J48 Classifiers for Credit Risk Prediction (2015)Comparative Analysis of Rando…Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management (2010)Developing an SVM-based ensem…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)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Feature selection in bankruptcy prediction (2008)An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data (2012)The Pricing of Options and Corporate Liabilities (1973)Credit scoring with a data mining approach based on support vector machines (2006)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Decision support systems and intelligent systems (1997)An integrated data mining and behavioral scoring model for analyzing bank customers (2004)Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Information Choice and Utilization in an Experiment on Default Prediction (1980)A fuzzy neural network for assessing the risk of fraudulent financial reporting (2003)Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)A Discriminant Analysis of Predictors of Business Failure (1972)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Consumer credit-risk models via machine-learning algorithms (2010)The Combination of Forecasts (1969)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Bitcoin price forecasting with neuro-fuzzy techniques (2019)Hybrid structures in time series modeling and forecasting: A review (2019)Neural network credit scoring models (2000)Credit risk assessment with a multistage neural network ensemble learning approach (2007)Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Banking Risk Management: A Literature Review (2019)Applied Linear Statistical Models. (1975)Econometric Models and Economic Forecasts (1990)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)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)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Machine learning in finance: A topic modeling approach (2021)Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis (2024)
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References

  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2005A new fuzzy support vector machine to evaluate credit risk383 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 1998Genetic algorithms applications in the analysis of insolvency risk269 cited
  • 2004A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates259 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 1999Financial credit-risk evaluation with neural and neurofuzzy systems236 cited
  • 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques226 cited
  • 2005A survey of the issues in consumer credit modelling research140 cited
  • 2003A support vector machine approach to credit scoring103 cited

Cited by

  • 2020Utilizing historical data for corporate credit rating assessment

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63 cited
  • 2015Comparative Analysis of Random Forest, REP Tree and J48 Classifiers for Credit Risk Prediction41 cited
  • 2023Feature Selection Engineering for Credit Risk Assessment in Retail Banking34 cited
  • 2010Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management14 cited