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A genetic algorithm-based approach to cost-sensitive bankruptcy prediction · Study

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ArticleA genetic algorithm-based approach to cost-sensitive bankruptcy prediction

Ning Chen2011

Article2011

A genetic algorithm-based approach to cost-sensitive bankruptcy prediction

Ning Chen · Bernardete Ribeiro · Armando S. Vieira · João Duarte · João Carvalho das Neves

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

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Financial Distress and Bankruptcy Prediction Neural Networks and Applications Imbalanced Data Classification Techniques

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References

2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review 2000Neural network credit scoring models 2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines 2005Hybrid genetic algorithms and support vector machines for bankruptcy prediction 2008Predicting bank financial failures using neural networks, support vector machines and multivariate statistical methods: A comparative analysis in the sample of savings deposit insurance fund (SDIF) transferred banks in Turkey 2009Ensemble with neural networks for bankruptcy prediction 2009A hybrid approach based on the combination of variable selection using decision trees and case-based reasoning using the Mahalanobis distance: For bankruptcy prediction 2006Improving bankruptcy prediction with Hidden Layer Learning Vector Quantization

Cited by

2019Machine learning models and cost-sensitive decision trees for bond rating prediction 2021A Machine Learning-based DSS for mid and long-term company crisis prediction 2021Bankruptcy prediction on the base of the unbalanced data using multi-objective selection of classifiers 2024Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction

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2014An insight into the experimental design for credit risk and corporate bankruptcy prediction systemsarticle · 4 shared references 2012A hybrid device for the solution of sampling bias problems in the forecasting of firms’ bankruptcyarticle · 4 shared references 2016Bankruptcy forecasting using case-based reasoning: The CRePERIE approacharticle · 4 shared references 2012Assessing methodologies for intelligent bankruptcy predictionarticle · 4 shared references 2011Application of Artificial Intelligence Techniques for Credit Risk Evaluationarticle · 4 shared references 2010Empirical research of hybridizing principal component analysis with multivariate discriminant analysis and logistic regression for business failure predictionarticle · 4 shared references

Details

Year2011

Typearticle

Published2011-04-24

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations67

Files0 public / 0

ShelfFinancial Distress and Bankruptcy Prediction

Identifiers

doi10.1016/j.eswa.2011.04.090

openalex_workW2020439163

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2012Assessing methodologies for intelligent bankruptcy prediction

2022Predicting and interpreting financial distress using a weighted boosted tree-based tree

2023Mining semantic features in patent text for financial distress prediction

2020Cost-sensitive ensemble methods for bankruptcy prediction in a highly imbalanced data distribution: a real case from the Spanish market