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A hybrid neural network approach for credit scoring
16 references·7 citing·31 second hop
A hybrid neural network approach for credit scoring (2010)A hybrid neural network approach for cred…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…A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)A two-stage hybrid credit sco…Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Credit rating analysis with s…Credit scoring using the hybrid neural discriminant technique (2002)Credit scoring using the hybr…The integrated methodology of rough set theory and artificial neural network for business failure prediction (2000)The integrated methodology of…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…Financial credit-risk evaluation with neural and neurofuzzy systems (1999)Financial credit-risk evaluat…Business failure prediction using rough sets (1999)Business failure prediction u…Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis (1999)Artificial neural networks in…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk (1996)A k-Nearest-Neighbour Classif…A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)Recognizing Financial Distres…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing (2022)PsyCredit: An interpretable d…A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring (2021)A graph-based semi-supervised…Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers (2018)Credit scoring for a microcre…A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation (2017)A feature selection enabled h…Features selection, data mining and finacial risk classification: a comparative study (2016)Features selection, data mini…Customer Credit Risk Assessment using Artificial Neural Networks (2016)Customer Credit Risk Assessme…The bank loan approval decision from multiple perspectives (2012)The bank loan approval decisi…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Financial time series forecasting using support vector machines (2003)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)The Pricing of Options and Corporate Liabilities (1973)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)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)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Bankruptcy prediction for credit risk using neural networks: A survey and new results (2001)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review (2020)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)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)Methodological Issues Related to the Estimation of Financial Distress Prediction Models (1984)International Business Cycles and the ERM: Is There a European Business Cycle? (1997)Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)A Discriminant Analysis of Predictors of Business Failure (1972)Consumer credit-risk models via machine-learning algorithms (2010)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Preference disaggregation: 20 years of MCDA experience (2001)Predicting corporate bankruptcy: where we stand? (2006)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)
this work references cited by second hop

References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2000Neural network credit scoring models1,032 cited
  • 2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
  • 2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
  • 1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 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
  • 1999Business failure prediction using rough sets493 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines389 cited
  • 2002Credit scoring using the hybrid neural discriminant technique355 cited
  • 2007A neural network approach for credit risk evaluation350 cited
  • 2000The integrated methodology of rough set theory and artificial neural network for business failure prediction335 cited

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  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 1999Financial credit-risk evaluation with neural and neurofuzzy systems236 cited
  • Cited by

    • 2018Credit scoring for a microcredit data set using the synthetic minority oversampling technique and ensemble classifiers49 cited
    • 2017A feature selection enabled hybrid‐bagging algorithm for credit risk evaluation43 cited
    • 2021A graph-based semi-supervised reject inference framework considering imbalanced data distribution for consumer credit scoring41 cited
    • 2016Features selection, data mining and finacial risk classification: a comparative study36 cited
    • 2016Customer Credit Risk Assessment using Artificial Neural Networks34 cited
    • 2022PsyCredit: An interpretable deep learning-based credit assessment approach facilitated by psychometric natural language processing30 cited
    • 2012The bank loan approval decision from multiple perspectives20 cited