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Genetic programming for credit scoring: The case of Egyptian public sector banks
16 references·16 citing·28 second hopsampled
Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credit scoring: T…A genetic programming model for bankruptcy prediction: Empirical evidence from Iran (2008)A genetic programming model f…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…Credit scoring with a data mining approach based on support vector machines (2006)Credit scoring with a data mi…Two-stage genetic programming (2SGP) for the credit scoring model (2005)Two-stage genetic programming…Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)Credit Risk Scorecards: Devel…Building credit scoring models using genetic programming (2005)Building credit scoring model…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…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…Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Benchmarking state-of-the-art…Genetic programming and rough sets: A hybrid approach to bankruptcy classification (2002)Genetic programming and rough…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…Neural network credit scoring models (2000)Neural network credit scoring…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…Econometric Models and Economic Forecasts (1990)Econometric Models and Econom…Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Consumer credit risk assessme…Data Science for Economics and Finance (2021)Data Science for Economics an…Rule-based credit risk assessment model using multi-objective evolutionary algorithms (2019)Rule-based credit risk assess…Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches (2019)Credit Scoring: A Review on S…An artificial intelligence system for predicting customer default in e-commerce (2018)An artificial intelligence sy…Approaches for credit scorecard calibration: An empirical analysis (2017)Approaches for credit scoreca…A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation (2017)A feature selection enabled h…Predicting creditworthiness in retail banking with limited scoring data (2016)Predicting creditworthiness i…Evolutionary computing applied to customer relationship management: A survey (2016)Evolutionary computing applie…Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Classification methods applie…Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)Credit risk evaluation using …An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)An insight into the experimen…Credit scoring in banks and financial institutions via data mining techniques: A literature review (2013)Credit scoring in banks and f…An Overview of Personal Credit Scoring: Techniques and Future Work (2012)An Overview of Personal Credi…A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the ap…A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy (2012)A hybrid device for the solut…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)A Discriminant Analysis of Predictors of Business Failure (1972)Forecasting with artificial neural networks: (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)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)A comparative study on base classifiers in ensemble methods for credit scoring (2016)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)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)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Business failure prediction using rough sets (1999)Forecasting energy consumption using a grey model improved by incorporating genetic programming (2010)Machine Learning in Financial Crisis Prediction: A Survey (2011)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)The Influence of Top Management Team Heterogeneity on Firms' Competitive Moves (1996)The analysis of household surveys (1997)Veto Players. How Political Institutions Work (2003)Machine behaviour (2019)Consumer credit-risk models via machine-learning algorithms (2010)Using data mining to improve assessment of credit worthiness via credit scoring models (2011)Credit scoring using the clustered support vector machine (2014)A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)
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References

  • 1990Econometric Models and Economic Forecasts4,945 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Benchmarking state-of-the-art classification algorithms for credit scoring903 cited
  • 2006Credit scoring with a data mining approach based on support vector machines805 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2005Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring381 cited
  • 2005Building credit scoring models using genetic programming356 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2003Evaluating consumer loans using neural networks280 cited
  • 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques226 cited
  • 2002Genetic programming and rough sets: A hybrid approach to bankruptcy classification219 cited
  • 2005

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Two-stage genetic programming (2SGP) for the credit scoring model
163 cited
  • 2008A genetic programming model for bankruptcy prediction: Empirical evidence from Iran163 cited
  • Cited by

    • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
    • 2018An artificial intelligence system for predicting customer default in e-commerce95 cited
    • 2014Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors92 cited
    • 2019Rule-based credit risk assessment model using multi-objective evolutionary algorithms77 cited
    • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
    • 2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
    • 2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
    • 2012An Overview of Personal Credit Scoring: Techniques and Future Work66 cited
    • 2019Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches66 cited
    • 2012A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcy64 cited
    • 2016Evolutionary computing applied to customer relationship management: A survey61 cited
    • 2016Predicting creditworthiness in retail banking with limited scoring data54 cited
    • 2017Approaches for credit scorecard calibration: An empirical analysis47 cited
    • 2017A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation43 cited
    • 2013Credit scoring in banks and financial institutions via data mining techniques: A literature review42 cited
    • 2021Data Science for Economics and Finance42 cited