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Application of Ensemble Models in Credit Scoring Models
14 references·6 citing·40 second hop
Application of Ensemble Models in Credit Scoring Models (2018)Application of Ensemble Models in Credit …Classifiers consensus system approach for credit scoring (2016)Classifiers consensus system …Predictive Modeling With Big Data: Is Bigger Really Better ? (2013)Predictive Modeling With Big …Study of corporate credit risk prediction based on integrating boosting and random subspace (2011)Study of corporate credit ris…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)An experimental comparison of…Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Using neural network ensemble…A neural network approach for credit risk evaluation (2007)A neural network approach for…Neural network ensemble strategies for financial decision applications (2004)Neural network ensemble strat…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Neural network credit scoring models (2000)Neural network credit scoring…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…Using Neural Networks for Credit Scoring (1992)Using Neural Networks for Cre…Machine-learning algorithms for credit-card applications (1992)Machine-learning algorithms f…Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress (1985)Introducing Recursive Partiti…Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management (2024)Advancing financial resilienc…Credit Scoring Using Machine Learning Algorithms and Blockchain Technology (2023)Credit Scoring Using Machine …An Ensemble Machine Learning Approach for Forecasting Credit risk of Loan Applications (2023)An Ensemble Machine Learning …Utilization of artificial intelligence in the banking sector: a systematic literature review (2022)Utilization of artificial int…Improved credit scoring model using XGBoost with Bayesian hyper-parameter optimization (2021)Improved credit scoring model…A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring (2019)A Discretized Enriched Techni…Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Econometric Models and Economic Forecasts (1990)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Determinants of Default in P2P Lending (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Financial Ratios As Predictors of Failure (1966)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)An application of the cox proportional hazards model to bank failure (1986)A survey of business failures with an emphasis on prediction methods and industrial applications (1996)Predicting corporate financial distress: Reflections on choice-based sample bias (2002)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)Financial credit risk assessment: a recent review (2015)A comparative study on base classifiers in ensemble methods for credit scoring (2016)What's In A Name? Malay Seals As Onomastic Sources (2018)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)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Comparative analysis of data mining methods for bankruptcy prediction (2011)Machine Learning in Financial Crisis Prediction: A Survey (2011)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Machine behaviour (2019)A Discriminant Analysis of Predictors of Business Failure (1972)Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey (2009)Consumer credit-risk models via machine-learning algorithms (2010)The Economics of Education (1980)Proceedings of the International Joint Conference on Neural Networks, 2003. (2003)Stock market index prediction using artificial neural network (2016)A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending (2017)Machine learning techniques for credit risk evaluation: a systematic literature review (2020)Transforming Qualitative Information: Thematic Analysis and Code Development (1998)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Does artificial intelligence (AI) boost digital banking user satisfaction? Integration of expectation confirmation model and antecedents of artificial intelligence enabled digital banking (2023)An empirical study on the use of artificial intelligence in the banking sector of Indonesia by extending the TAM model and the moderating effect of perceived trust (2024)Artificial intelligence adoption dynamics and knowledge in SMEs and large firms: A systematic review and bibliometric analysis (2025)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit scoring with a data mining approach based on support vector machines (2006)
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
  • 1985Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress748 cited
  • 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2007A neural network approach for credit risk evaluation350 cited
  • 2004Neural network ensemble strategies for financial decision applications332 cited
  • 2008An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring290 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2016Classifiers consensus system approach for credit scoring202 cited
  • 1992Using Neural Networks for Credit Scoring189 cited
  • 2013Predictive Modeling With Big Data: Is Bigger Really Better ?185 cited
  • 1992Machine-learning algorithms for credit-card applications128 cited
  • 2011Study of corporate credit risk prediction based on integrating boosting and random subspace71 cited

Cited by

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  • 2022Utilization of artificial intelligence in the banking sector: a systematic literature review278 cited
  • 2024Advancing financial resilience: A systematic review of default prediction models and future directions in credit risk management38 cited
  • 2021Improved credit scoring model using XGBoost with Bayesian hyper-parameter optimization20 cited
  • 2023An Ensemble Machine Learning Approach for Forecasting Credit risk of Loan Applications13 cited
  • 2019A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring12 cited
  • 2023Credit Scoring Using Machine Learning Algorithms and Blockchain Technology11 cited