SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Credit scoring using neural and evolutionary techniques
2 references·16 citing·42 second hop
Credit scoring using neural and evolutionary techniques (2000)Credit scoring using neural and evolution…Credit-scoring models in the credit-union environment using neural networks and genetic algorithms (1997)Credit-scoring models in the …A comparison of neural networks and linear scoring models in the credit union environment (1996)A comparison of neural networ…Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data (2024)Who gets the money? A qualita…Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines (2018)Credit risk assessment for un…Big Data techniques to measure credit banking risk in home equity loans (2018)Big Data techniques to measur…Genetic algorithms for credit scoring: Alternative fitness function performance comparison (2014)Genetic algorithms for credit…An insight into the experimental design for credit risk and corporate bankruptcy prediction systems (2014)An insight into the experimen…A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the ap…Does segmentation always improve model performance in credit scoring? (2011)Does segmentation always impr…Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection (2011)Credit risk evaluation using …Credit risk prediction using support vector machines (2010)Credit risk prediction using …Credit scoring for profitability objectives (2009)Credit scoring for profitabil…Credit rating prediction using Ant Colony Optimization (2009)Credit rating prediction usin…Credit scoring using support vector machines with direct search for parameters selection (2008)Credit scoring using support …Bio-Inspired Credit Risk Analysis (2008)Bio-Inspired Credit Risk Anal…A credit scoring model for Vietnam's retail banking market (2007)A credit scoring model for Vi…A survey of the issues in consumer credit modelling research (2005)A survey of the issues in con…Small business credit scoring: a comparison of logistic regression, neural network, and decision tree models (2004)Small business credit scoring…FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Unspanned Stochastic Volatility and the Pricing of Commodity Derivatives (2008)Credit scoring for microfinance: is it worth it? (2011)Efficiency in the Vietnamese banking system: A DEA double bootstrap approach (2015)Neural network credit scoring models (2000)A novel ensemble feature selection method by integrating multiple ranking information combined with an SVM ensemble model for enterprise credit risk prediction in the supply chain (2022)Hyperparameter Tuning of Machine Learning Algorithms Using Response Surface Methodology: A Case Study of ANN, SVM, and DBN (2022)Prediction of bank credit worthiness through credit risk analysis: an explainable machine learning study (2024)Data preparation for data mining (1999)Probabilistic modeling and visualization for bankruptcy prediction (2017)An artificial intelligence system for predicting customer default in e-commerce (2018)A novel dynamic credit risk evaluation method using data envelopment analysis with common weights and combination of multi-attribute decision-making methods (2021)A Stochastic Approximation Method (1951)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)A comparative assessment of ensemble learning for credit scoring (2010)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)Credit Granting: A Comparative Analysis of Classification Procedures (1987)Credit Scoring and Its Applications (2002)Survival Analysis Methods for Personal Loan Data (2002)An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Assessing credit risk of commercial customers using hybrid machine learning algorithms (2022)Market Segmentation: Conceptual and Methodological Foundations (1997)Credit Risk Scorecards: Developing and Implementing Intelligent Credit Scoring (2005)Classification methods applied to credit scoring: Systematic review and overall comparison (2016)Dynamic prediction of financial distress using Malmquist DEA (2017)A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines (2018)Credit scoring with a data mining approach based on support vector machines (2006)LSSVR ensemble learning with uncertain parameters for crude oil price forecasting (2016)Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods (2023)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends (2019)The influence of enterprise risk management on firm performance with the moderating effect of intellectual capital dimensions (2020)Credit scoring methods: Latest trends and points to consider (2022)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Connecting big data management capabilities with employee ambidexterity in Chinese multinational enterprises through the mediation of big data value creation at the employee level (2019)Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction (2021)Fintech, macroprudential policies and bank risk: Evidence from China (2023)Intellectual capital and corporate performance in Iranian pharmaceutical industry (2012)
this work references cited by second hop

References

  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1997Credit-scoring models in the credit-union environment using neural networks and genetic algorithms151 cited

Cited by

  • 2005A survey of the issues in consumer credit modelling research140 cited
  • 2007A credit scoring model for Vietnam's retail banking market135 cited
  • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
  • 2018Big Data techniques to measure credit banking risk in home equity loans102 cited
  • 2011Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection98 cited
  • 2011Does segmentation always improve model performance in credit scoring?76 cited
  • 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems75 cited
  • 2008Credit scoring using support vector machines with direct search for parameters selection73 cited
  • 2018Credit risk assessment for unbalanced datasets based on data mining, artificial neural network and support vector machines72 cited
  • 2009Credit scoring for profitability objectives72 cited
  • 2009Credit rating prediction using Ant Colony Optimization66 cited
  • 2014Genetic algorithms for credit scoring: Alternative fitness function performance comparison

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

65 cited
  • 2004Small business credit scoring: a comparison of logistic regression, neural network, and decision tree models59 cited
  • 2024Who gets the money? A qualitative analysis of fintech lending and credit scoring through the adoption of AI and alternative data57 cited
  • 2008Bio-Inspired Credit Risk Analysis54 cited
  • 2010Credit risk prediction using support vector machines49 cited