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A Comparison Study of Credit Scoring Models
10 references·6 citing·29 second hop
A Comparison Study of Credit Scoring Models (2007)A Comparison Study of Credit Scoring Mode…Two-stage genetic programming (2SGP) for the credit scoring model (2005)Two-stage genetic programming…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…A new fuzzy support vector machine to evaluate credit risk (2005)A new fuzzy support vector ma…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…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…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Statistical aspects of credit scoring (1995)Statistical aspects of credit…A Credit Risk Model with Small Sample Data Based on G-XGBoost (2021)A Credit Risk Model with Smal…An Improved Bank Credit Scoring Model: A Naïve Bayesian Approach (2017)An Improved Bank Credit Scori…Credit scoring model: A combination of genetic programming and deep learning (2016)Credit scoring model: A combi…Credit scoring using ensemble of various classifiers on reduced feature set (2015)Credit scoring using ensemble…A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines (2008)A Hybrid Credit Scoring Model…A Decision Tree Scoring Model Based on Genetic Algorithm and K-Means Algorithm (2008)A Decision Tree Scoring Model…The Pricing of Options and Corporate Liabilities (1973)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)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)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)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)Business failure prediction using rough sets (1999)Vertical bagging decision trees model for credit scoring (2010)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Grey forecasting method of quarterly hydropower production in China based on a data grouping approach (2017)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Credit rating by hybrid machine learning techniques (2009)Combining cluster analysis with classifier ensembles to predict financial distress (2011)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)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)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)An artificial intelligence system for predicting customer default in e-commerce (2018)Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines (2018)Predicting credit risk on the basis of financial and non-financial variables and data mining (2018)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 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
  • 2005A new fuzzy support vector machine to evaluate credit risk383 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2005Two-stage genetic programming (2SGP) for the credit scoring model163 cited
  • 1995Statistical aspects of credit scoring97 cited

Cited by

  • 2008A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines30 cited
  • 2017An Improved Bank Credit Scoring Model: A Naïve Bayesian Approach27 cited
  • 2008A Decision Tree Scoring Model Based on Genetic Algorithm and K-Means Algorithm23 cited
  • 2016Credit scoring model: A combination of genetic programming and deep learning23 cited

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2015
Credit scoring using ensemble of various classifiers on reduced feature set
22 cited
  • 2021A Credit Risk Model with Small Sample Data Based on G-XGBoost21 cited