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ArticleExploring the behaviour of base classifiers in credit scoring ensembles

Ana I. Marqués2012

Article2012

Exploring the behaviour of base classifiers in credit scoring ensembles

Ana I. Marqués · Vicente García · J. Salvador Sánchez

142 citations·0/0 files stored·Expert Systems with Applications

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Financial Distress and Bankruptcy Prediction Forecasting Techniques and Applications Imbalanced Data Classification Techniques

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References

1968FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY 2003Credit rating analysis with support vector machines and neural networks: a market comparative study 2006Credit scoring with a data mining approach based on support vector machines 2002Credit Scoring and Its Applications 2010A comparative assessment of ensemble learning for credit scoring 2011CREDIT SCORING, STATISTICAL TECHNIQUES AND EVALUATION CRITERIA: A REVIEW OF THE LITERATURE 2005Building credit scoring models using genetic programming 2004Neural network ensemble strategies for financial decision applications

Cited by

2016A two-stage classification technique for bankruptcy prediction 2015Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposal 2019Improving financial bankruptcy prediction in a highly imbalanced class distribution using oversampling and ensemble learning: a case from the Spanish market 2017Dynamics of firm financial evolution and bankruptcy prediction 2017

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2012Two-level classifier ensembles for credit risk assessmentarticle · 10 shared references 2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systemsarticle · 8 shared references 2012A literature review on the application of evolutionary computing to credit scoringarticle · 7 shared references 2013Credit scoring in banks and financial institutions via data mining techniques: A literature reviewarticle · 6 shared references 2015A systematic credit scoring model based on heterogeneous classifier ensemblesother · 6 shared references 2015Enhancing accuracy and interpretability of ensemble strategies in credit risk assessment. A correlated-adjusted decision forest proposalarticle · 5 shared references

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Year2012

Typearticle

Published2012-03-06

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations142

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

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doi10.1016/j.eswa.2012.02.092

openalex_workW1963607983

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Dynamic prediction of financial distress using Malmquist DEA

2017Probabilistic modeling and visualization for bankruptcy prediction

2020Comparative study of support vector machines and random forests machine learning algorithms on credit operation

2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systems