SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study
11 references·4 citing·44 second hop
Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study (2018)Appropriate machine learning techniques f…Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring (2013)Improving experimental studie…CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE (2011)CREDIT SCORING, STATISTICAL T…An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making (2010)An evolution strategy-based m…Genetic programming for credit scoring: The case of Egyptian public sector banks (2009)Genetic programming for credi…Support vector machines for credit scoring and discovery of significant features (2008)Support vector machines for c…What's the point of credit scoring? (1997)What's the point of credit sc…Statistical Classification Methods in Consumer Credit Scoring: A Review (1997)Statistical Classification Me…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…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…A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior (1980)A Note on the Comparison of L…Machine learning in financial forecasting: A U.S. review: Exploring the advancements, challenges, and implications of AI-driven predictions in financial markets (2024)Machine learning in financial…Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment (2024)Comparison of the impact of d…Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset (2024)Advancing Bankruptcy Forecast…Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises (2022)Effects of classification, fe…Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience) (1994)Credit risk measurement: Developments over the last 20 years (1997)The Effect of Credit Scoring on Small-Business Lending (2001)Foreign Bank Entry: Experience, Implications for Developing Economies, and Agenda for Further Research (2003)Borrower–lender distance, credit scoring, and loan performance: Evidence from informational-opaque small business borrowers (2007)Applied Statistical Decision Theory (1962)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Econometric Models and Economic Forecasts (1990)Business intelligence in banking: A literature analysis from 2002 to 2013 using text mining and latent Dirichlet allocation (2014)Determinants of Default in P2P Lending (2015)Statistical and machine learning models in credit scoring: A systematic literature survey (2020)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)Machine learning for credit scoring: Improving logistic regression with non-linear decision-tree effects (2021)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)An experimental comparison of ensemble of classifiers for bankruptcy prediction and credit scoring (2008)Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal (2015)An artificial intelligence system for predicting customer default in e-commerce (2018)Banking credit worthiness: Evaluating the complex relationships (2018)What's In A Name? Malay Seals As Onomastic Sources (2018)Neural network credit scoring models (2000)A literature review on the application of evolutionary computing to credit scoring (2012)Credit risk evaluation using multi-criteria optimization classifier with kernel, fuzzification and penalty factors (2014)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)Credit scoring with a data mining approach based on support vector machines (2006)Machine Learning in Financial Crisis Prediction: A Survey (2011)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)Credit scoring using the clustered support vector machine (2014)Applied Linear Statistical Models. (1975)Mining the customer credit using classification and regression tree and multivariate adaptive regression splines (2004)A new fuzzy support vector machine to evaluate credit risk (2005)A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines (2005)PREDICTING BANKRUPTCY FOR FIRMS IN FINANCIAL DISTRESS (1990)Credit scoring and rejected instances reassigning through evolutionary computation techniques (2003)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)The Nonstochastic Multiarmed Bandit Problem (2002)Prediction, Learning, and Games (2006)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients (2008)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)
this work references cited by second hop

References

  • 1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting20,469 cited
  • 1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
  • 1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
  • 1980A Note on the Comparison of Logit and Discriminant Models of Consumer Credit Behavior435 cited
  • 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE409 cited
  • 2008Support vector machines for credit scoring and discovery of significant features336 cited
  • 1997What's the point of credit scoring?311 cited
  • 1996A k-Nearest-Neighbour Classifier for Assessing Consumer Credit Risk286 cited
  • 2013Improving experimental studies about ensembles of classifiers for bankruptcy prediction and credit scoring150 cited
  • 2009Genetic programming for credit scoring: The case of Egyptian public sector banks120 cited
  • 2010An evolution strategy-based multiple kernels multi-criteria programming approach: The case of credit decision making60 cited

Cited by

  • 2024Machine learning in financial forecasting: A U.S. review: Exploring the advancements, challenges, and implications of AI-driven predictions in financial markets39 cited
  • 2024Advancing Bankruptcy Forecasting With Hybrid Machine Learning Techniques: Insights From an Unbalanced Polish Dataset

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

32 cited
  • 2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises25 cited
  • 2024Comparison of the impact of dimensionality reduction and data splitting on classification performance in credit risk assessment21 cited