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Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring
0 references·16 citing·45 second hop
Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)Credit Risk Scorecards: Developing and Im…Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Assessing credit risk of comm…The Biography of an Algorithm: Performing algorithmic technologies in organizations (2021)The Biography of an Algorithm…On the confusion matrix in credit scoring and its analytical properties (2019)On the confusion matrix in cr…An artificial intelligence system for predicting customer default in e-commerce (2018)An artificial intelligence sy…A review of credit scoring research in the age of Big Data (2018)A review of credit scoring re…Integrated framework for profit-based feature selection and SVM classification in credit scoring (2017)Integrated framework for prof…The Democratization of Credit and the Rise in Consumer Bankruptcies (2016)The Democratization of Credit…Financial innovation: Credit default hybrid model for SME lending (2016)Financial innovation: Credit …A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry (2016)A comparative analysis of dat…Credit Risk Scoring with Bayesian Network Models (2015)Credit Risk Scoring with Baye…Credit scoring using the clustered support vector machine (2014)Credit scoring using the clus…The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements (2013)The application of brute forc…Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings (2013)Comparing the learning effect…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…Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A comparative study on base classifiers in ensemble methods for credit scoring (2016)Forecasting stock market crisis events using deep and statistical machine learning techniques (2018)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Neural network credit scoring models (2000)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Comparison of individual, ensemble and integrated ensemble machine learning methods to predict China’s SME credit risk in supply chain finance (2016)Multivariate analysis of credit risk and bankruptcy research data: a bibliometric study involving different knowledge fields (1968–2014) (2016)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)An Effective Computational Model for Bankruptcy Prediction Using Kernel Extreme Learning Machine Approach (2016)A multicriteria outranking approach for modeling corporate credit ratings: An application of the Electre Tri-nC method (2018)A comparative study of forecasting corporate credit ratings using neural networks, support vector machines, and decision trees (2020)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)Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information (1976)Imperfect Information, Uncertainty, and Credit Rationing (1976)Information Technology and the U.S. Economy (2001)The Importance of Adverse Selection in the Credit Card Market: Evidence from Randomized Trials of Credit Card Solicitations (2010)Do Banks Pass Through Credit Expansions to Consumers Who Want to Borrow? (2015)Corporate governance effects of digital finance: Evidence from corporate tax avoidance in China (2024)Data preparation for data mining (1999)Understanding the Customer Base of Service Providers: An Examination of the Differences between Switchers and Stayers (2000)Credit Scoring and Its Applications (2002)An empirical comparison of techniques for the class imbalance problem in churn prediction (2017)B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM (2022)A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners (2024)A Thousand Plateaus: Capitalism and Schizophrenia (1989)Gender Trouble: Feminism and the Subversion of Identity (1991)Reassembling the Social (2005)Institutional Perspectives on Digital Transformation (2022)Agencing entrepreneurial ecosystems for sustainability: A systematic review to rethink values, transformation, and boundaries (2025)A more complete conceptual framework for SME finance (2006)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Machine Learning for Credit Risk Prediction: A Systematic Literature Review (2023)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)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)Using reinforcement learning to optimize the acceptance threshold of a credit scoring model (2019)
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  • 2014Credit scoring using the clustered support vector machine269 cited
  • 2016A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry214 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
  • 2019On the confusion matrix in credit scoring and its analytical properties157 cited
  • 2021The Biography of an Algorithm: Performing algorithmic technologies in organizations157 cited
  • 2016The Democratization of Credit and the Rise in Consumer Bankruptcies143 cited
  • 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings132 cited
  • 2022Assessing credit risk of commercial customers using hybrid machine learning algorithms130 cited
  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2017Integrated framework for profit-based feature selection and SVM classification in credit scoring111 cited
  • 2018An artificial intelligence system for predicting customer default in e-commerce95 cited
  • 2018A review of credit scoring research in the age of Big Data81 cited

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  • 2013The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements81 cited
  • 2015Credit Risk Scoring with Bayesian Network Models80 cited
  • 2016Financial innovation: Credit default hybrid model for SME lending79 cited