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Credit scoring using the hybrid neural discriminant technique
6 references·16 citing·36 second hop
Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybrid neural di…Neural network credit scoring models (2000)Neural network credit scoring…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions (2018)Application of eXtreme gradie…Credit scoring models for the microfinance industry using neural networks: Evidence from Peru (2012)Credit scoring models for the…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)An empirical comparison of co…Machine Learning in Financial Crisis Prediction: A Survey (2011)Machine Learning in Financial…Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes (2010)Neural networks for credit ri…Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS) (2010)Bankruptcy forecasting: A hyb…A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A comparative survey of artif…Credit rating by hybrid machine learning techniques (2009)Credit rating by hybrid machi…Combination of feature selection approaches with SVM in credit scoring (2009)Combination of feature select…Feature selection in bankruptcy prediction (2008)Feature selection in bankrupt…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Credit risk assessment with a multistage neural network ensemble learning approach (2007)Credit risk assessment with a…An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)An intelligent-agent-based fu…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…Building credit scoring models using genetic programming (2005)Building credit scoring model…An integrated data mining and behavioral scoring model for analyzing bank customers (2004)An integrated data mining and…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The Pricing of Options and Corporate Liabilities (1973)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)A Stochastic Approximation Method (1951)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)Applied Linear Statistical Models. 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References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited

Cited by

  • 2010A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems552 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
  • 2018Application of eXtreme gradient boosting trees in the construction of credit risk assessment models for financial institutions320 cited
  • 2007Credit risk assessment with a multistage neural network ensemble learning approach310 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 2008Feature selection in bankruptcy prediction246 cited
  • 2012An 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

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241 cited
  • 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
  • 2004An integrated data mining and behavioral scoring model for analyzing bank customers234 cited
  • 2012Credit scoring models for the microfinance industry using neural networks: Evidence from Peru210 cited
  • 2009Combination of feature selection approaches with SVM in credit scoring202 cited
  • 2007An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring198 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2009Credit rating by hybrid machine learning techniques177 cited
  • 2010Bankruptcy forecasting: A hybrid approach using Fuzzy c-means clustering and Multivariate Adaptive Regression Splines (MARS)169 cited