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Cluster-based dynamic scoring model
7 references·16 citing·37 second hop
Cluster-based dynamic scoring model (2006)Cluster-based dynamic scoring modelA comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms (2005)A comparison of supervised an…An integrated data mining and behavioral scoring model for analyzing bank customers (2004)An integrated data mining and…Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Credit scoring and rejected i…Differentiating between good credits and bad credits using neuro-fuzzy systems (2002)Differentiating between good …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…Credit risk evaluation using clustering based fuzzy classification method (2023)Credit risk evaluation using …A deep learning model for behavioural credit scoring in banks (2022)A deep learning model for beh…Modelling customers credit card behaviour using bidirectional LSTM neural networks (2021)Modelling customers credit ca…Credit scoring of small and medium enterprises: a behavioural approach (2021)Credit scoring of small and m…Learning latent representations of bank customers with the Variational Autoencoder (2020)Learning latent representatio…A DYNAMIC CREDIT SCORING MODEL BASED ON SURVIVAL GRADIENT BOOSTING DECISION TREE APPROACH (2020)A DYNAMIC CREDIT SCORING MODE…What factors are influencing credit card customer’s default behavior in China? A study based on survival analysis (2019)What factors are influencing …Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model (2019)Dynamic Credit Risk Evaluatio…Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring (2018)Classifier selection and clus…On the modelling of prognosis from delinquency to normal performance on retail consumer loans (2016)On the modelling of prognosis…On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data (2012)On the impact of disproportio…Credit risk Evaluation by hybrid data mining technique (2012)Credit risk Evaluation by hyb…Credit scoring and decision making in Egyptian public sector banks (2009)Credit scoring and decision m…A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION (2009)A NEURAL NETWORK MODEL FOR CR…Comparison procedure of predicting the time to default in behavioural scoring (2008)Comparison procedure of predi…On the Applicability of Credit Scoring Models in Egyptian Banks (2007)On the Applicability of Credi…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)Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Feature selection in bankruptcy prediction (2008)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)The Pricing of Options and Corporate Liabilities (1973)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)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Hybrid mining approach in the design of credit scoring models (2005)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Credit rating by hybrid machine learning techniques (2009)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks (2014)Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index (2018)Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering (2022)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Forecasting stock market movement direction with support vector machine (2004)HYBRID NEURAL INTELLIGENT SYSTEM TO PREDICT BUSINESS FAILURE IN SMALL-TO-MEDIUM-SIZE ENTERPRISES (2011)A multi-agent system for web-based risk management in small and medium business (2012)Topological applications of multilayer perceptrons and support vector machines in financial decision support systems (2018)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Machine learning and decision support system on credit scoring (2019)Reject inference in credit scoring using a three-way decision and safe semi-supervised support vector machine (2022)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Optimal cost-sensitive credit scoring using a new hybrid performance metric (2022)Credit risk prediction based on loan profit: Evidence from Chinese SMEs (2023)Machine learning powered financial credit scoring: a systematic literature review (2025)A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)
this work references cited by second hop

References

  • 2000Neural network credit scoring models1,032 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
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited
  • 2004An integrated data mining and behavioral scoring model for analyzing bank customers234 cited
  • 2003Credit scoring and rejected instances reassigning through evolutionary computation techniques226 cited
  • 2005A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms219 cited

Cited by

  • 2021Modelling customers credit card behaviour using bidirectional LSTM neural networks78 cited
  • 2009A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION78 cited
  • 2018Classifier selection and clustering with fuzzy assignment in ensemble model for credit scoring55 cited
  • 2023Credit risk evaluation using clustering based fuzzy classification method50 cited
  • 2019Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model50 cited
  • 2020A DYNAMIC CREDIT SCORING MODEL BASED ON SURVIVAL GRADIENT BOOSTING DECISION TREE APPROACH50 cited
  • 2022

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A deep learning model for behavioural credit scoring in banks
46 cited
  • 2012Credit risk Evaluation by hybrid data mining technique46 cited
  • 2008Comparison procedure of predicting the time to default in behavioural scoring40 cited
  • 2012On the impact of disproportional samples in credit scoring models: An application to a Brazilian bank data39 cited
  • 2020Learning latent representations of bank customers with the Variational Autoencoder37 cited
  • 2009Credit scoring and decision making in Egyptian public sector banks28 cited
  • 2019What factors are influencing credit card customer’s default behavior in China? A study based on survival analysis27 cited
  • 2021Credit scoring of small and medium enterprises: a behavioural approach26 cited
  • 2007On the Applicability of Credit Scoring Models in Egyptian Banks25 cited
  • 2016On the modelling of prognosis from delinquency to normal performance on retail consumer loans25 cited