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Feature Selection for Financial Credit-Risk Evaluation Decisions
4 references·4 citing·29 second hop
Feature Selection for Financial Credit-Risk Evaluation Decisions (1999)Feature Selection for Financial Credit-Ri…Commercial bank management (2002)Commercial bank managementA comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Information Choice and Utilization in an Experiment on Default Prediction (1980)Information Choice and Utiliz…A hierarchical attention-based feature selection and fusion method for credit risk assessment (2024)A hierarchical attention-base…On the use of data filtering techniques for credit risk prediction with instance-based models (2012)On the use of data filtering …Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions? (2010)Could Decision Trees Improve …How Secure Are Good Loans: Validating Loan-Granting Decisions And Predicting Default Rates On Consumer Loans (2002)How Secure Are Good Loans: Va…A Stochastic Approximation Method (1951)A comparative assessment of ensemble learning for credit scoring (2010)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Forecasting with artificial neural networks: (1998)Application of data mining techniques in customer relationship management: A literature review and classification (2008)Credit Scoring and Its Applications (2002)Consumer credit-risk models via machine-learning algorithms (2010)CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)Credit Analysis Using Data Mining: Application in the Case of a Credit Union (2014)Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control (2020)Credit risk assessment using the factorization machine model with feature interactions (2024)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Neural network credit scoring models (2000)Credit Risk Assessment of Loan Defaulters in Commercial Banks Using Voting Classifier Ensemble Learner Machine Learning Model (2021)Exploration and prioritization of crucial factors of artificial intelligence adoption in credit risk scoring: using the fuzzy analytical hierarchical process (2025)Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Reassessment and Monitoring of Loan Applications with Machine Learning (2018)Machine Learning Approaches to Credit Risk: Comparative Evidence from Participation and Conventional Banks in the UK (2025)Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending (2012)Financial credit risk assessment: a recent review (2015)Credit Risk Analysis Using Machine and Deep Learning Models (2018)Key factors influencing credit risk of Islamic bank: A Malaysian case (2004)Effects of Automated Teller Machine on the Performance of Nigerian Banks (2014)Effect of Credit Risk on Financial Performance of Commercial Banks Kenya (2016)The Information Content of Annual Earnings Releases: A Trading Volume Approach (1986)Experience Effects in Auditing: The Role of Task-Specific Knowledge. (1990)Financial credit-risk evaluation with neural and neurofuzzy systems (1999)
this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 2002Commercial bank management206 cited
  • 1980Information Choice and Utilization in an Experiment on Default Prediction106 cited

Cited by

  • 2010Could Decision Trees Improve the Classification Accuracy and Interpretability of Loan Granting Decisions?32 cited
  • 2012On the use of data filtering techniques for credit risk prediction with instance-based models31 cited
  • 2002How Secure Are Good Loans: Validating Loan-Granting Decisions And Predicting Default Rates On Consumer Loans24 cited
  • 2024A hierarchical attention-based feature selection and fusion method for credit risk assessment20 cited

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