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Feature selection in single and ensemble learning‐based bankruptcy prediction models

16 references·16 citing·41 second hopsampled

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References

2006Bankruptcy prediction in banks and firms via statistical and intelligent techniques – A review1,068 cited
2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
200535 years of studies on business failure: an overview of the classic statistical methodologies and their related problems795 cited
2007Recent developments in consumer credit risk assessment472 cited
2016Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study399 cited
2013Predicting financial distress and corporate failure: A review from the state-of-the-art definitions, modeling, sampling, and featuring approaches394 cited
2011Machine Learning in Financial Crisis Prediction: A Survey325 cited
2015Financial credit risk assessment: a recent review234 cited
2011A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering195 cited
2009Hybrid and ensemble-based soft computing techniques in bankruptcy prediction: a survey168 cited
2013Bankruptcy prediction using Extreme Learning Machine and financial expertise146 cited
2014Selection of Support Vector Machines based classifiers for credit risk domain142 cited
2014A genetic algorithm approach for SMEs bankruptcy prediction: Empirical evidence from Italy141 cited

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2017

Hybrid genetic algorithm and fuzzy clustering for bankruptcy prediction

126 cited

2013Feature selection in corporate credit rating prediction124 cited

2017Two-step classification method based on genetic algorithm for bankruptcy forecasting95 cited

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2024Survey, classification and critical analysis of the literature on corporate bankruptcy and financial distress prediction53 cited
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2022Effects of classification, feature selection, and resampling methods on bankruptcy prediction of small and medium‐sized enterprises25 cited
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2019BUSINESS FAILURE PREDICTION USING CART-BASED MODEL: A CASE OF SLOVAK COMPANIES18 cited
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