SZodixStudyAcademic Library
DashboardShelvesOpen accessMy libraryInboxNotesWriteLearnAlerts
More
Ask your libraryNotificationsQuick citeReview
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Credit scoring and rejected instances reassigning through evolutionary computation techniques
7 references·16 citing·40 second hop
Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)Credit scoring and rejected instances rea…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 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…Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Neural Networks: A New Tool f…Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Managerial Applications of Ne…Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation? (2020)Missing Data Preprocessing in…Oil price forecasting using gene expression programming and artificial neural networks (2016)Oil price forecasting using g…Credit risk assessment model for Jordanian commercial banks: Neural scoring approach (2014)Credit risk assessment model …Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method (2012)Computational time reduction …A literature review on the application of evolutionary computing to credit scoring (2012)A literature review on the ap…Support vector machine based multiagent ensemble learning for credit risk evaluation (2009)Support vector machine based …Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credi…Credit rating by hybrid machine learning techniques (2009)Credit rating by hybrid machi…A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction (2009)A hybrid approach based on th…A data driven ensemble classifier for credit scoring analysis (2009)A data driven ensemble classi…Mining the customer credit using hybrid support vector machine technique (2008)Mining the customer credit us…Neural nets versus conventional techniques in credit scoring in Egyptian banking (2007)Neural nets versus convention…An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (2007)An intelligent-agent-based fu…A practical approach to credit scoring (2007)A practical approach to credi…The evaluation of consumer loans using support vector machines (2005)The evaluation of consumer lo…Hybrid mining approach in the design of credit scoring models (2005)Hybrid mining approach in the…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)Support vector machines for default prediction of SMEs based on technology credit (2009)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)Limited-dependent and qualitative variables in econometrics (1983)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction (2016)Credit rating analysis with support vector machines and neural networks: a market comparative study (2003)Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review (2006)Combining cluster analysis with classifier ensembles to predict financial distress (2011)A new hybrid ensemble credit scoring model based on classifiers consensus system approach (2016)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)A Foundation for the Study of Group Decision Support Systems (1987)A Monte-Carlo game theoretic approach for Multi-Criteria Decision Making under uncertainty (2011)Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS (2011)Multiple criteria decision aiding for finance: An updated bibliographic survey (2015)What's In A Name? Malay Seals As Onomastic Sources (2018)A Stochastic Approximation Method (1951)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)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)A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers (2000)Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring (2019)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)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 Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)A comparative study on base classifiers in ensemble methods for credit scoring (2016)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)Benchmarking state-of-the-art classification algorithms for credit scoring (2003)Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Credit scoring with a data mining approach based on support vector machines (2006)
this work references cited by second hop

References

  • 1992Managerial Applications of Neural Networks: The Case of Bank Failure Predictions1,121 cited
  • 2000Neural network credit scoring models1,032 cited
  • 1992Neural Networks: A New Tool for Predicting Thrift Failures*533 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1993Recognizing Financial Distress Patterns Using a Neural Network Tool470 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2002Differentiating between good credits and bad credits using neuro-fuzzy systems252 cited

Cited by

  • 2007An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring198 cited
  • 2005Hybrid mining approach in the design of credit scoring models196 cited
  • 2009Credit rating by hybrid machine learning techniques177 cited
  • 2007Neural nets versus conventional techniques in credit scoring in Egyptian banking168 cited
  • 2009A data driven ensemble classifier for credit scoring analysis161 cited
  • 2020Missing Data Preprocessing in Credit Classification: One-Hot Encoding or Imputation?155 cited
  • 2014Credit risk assessment model for Jordanian commercial banks: Neural scoring approach

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

150 cited
  • 2009Support vector machine based multiagent ensemble learning for credit risk evaluation140 cited
  • 2005The evaluation of consumer loans using support vector machines135 cited
  • 2016Oil price forecasting using gene expression programming and artificial neural networks127 cited
  • 2007A practical approach to credit scoring126 cited
  • 2008Mining the customer credit using hybrid support vector machine technique122 cited
  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction116 cited
  • 2012A literature review on the application of evolutionary computing to credit scoring109 cited
  • 2012Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method105 cited