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An Improved Bank Credit Scoring Model: A Naïve Bayesian Approach
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An Improved Bank Credit Scoring Model: A Naïve Bayesian Approach (2017)An Improved Bank Credit Scoring Model: A …Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Benchmarking state-of-the-art…Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Using data mining to improve …Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credi…Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Neural nets versus convention…Constructing a reassigning credit scoring model (2007)Constructing a reassigning cr…A Comparison Study of Credit Scoring Models (2007)A Comparison Study of Credit …Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)A survey of credit and behavi…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring (2022)Extreme Learning Machine Enha…Swindle: Predicting the Probability of Loan Defaults using CatBoost Algorithm (2021)Swindle: Predicting the Proba…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)Recent developments in consumer credit risk assessment (2007)A comparative assessment of ensemble learning for credit scoring (2010)Neural network credit scoring models (2000)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring 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applied to credit scoring: Systematic review and overall comparison (2016)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Econometric Models and Economic Forecasts (1990)A literature review on the application of evolutionary computing to credit scoring (2012)Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)An artificial intelligence system for predicting customer default in e-commerce (2018)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Credit risk evaluation using neural networks: Emotional versus conventional models (2011)An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments (2019)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)A Decision Tree Scoring Model Based on Genetic Algorithm and K-Means Algorithm (2008)A Hybrid Credit Scoring Model Based on Genetic Programming and Support Vector Machines (2008)Credit scoring model: A combination of genetic programming and deep learning (2016)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)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Machine behaviour (2019)'It's Reducing a Human Being to a Percentage' (2018)Machine Learning and Natural Language Processing in Mental Health: Systematic Review (2020)
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References

  • 2015Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research1,277 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2011Using data mining to improve assessment of credit worthiness via credit scoring models210 cited
  • 2007Neural nets versus conventional techniques in credit scoring in Egyptian banking168 cited
  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2007Constructing a reassigning credit scoring model80 cited
  • 2007A Comparison Study of Credit Scoring Models35 cited

Cited by

  • 2021Swindle: Predicting the Probability of Loan Defaults using CatBoost Algorithm18 cited
  • 2022Extreme Learning Machine Enhanced Gradient Boosting for Credit Scoring17 cited

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