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Ensemble with neural networks for bankruptcy prediction

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References

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2022Bankruptcy Prediction using the XGBoost Algorithm and Variable Importance Feature Engineering204 cited
2014A comparative study of classifier ensembles for bankruptcy prediction

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201 cited

2016Dynamic financial distress prediction with concept drift based on time weighting combined with Adaboost support vector machine ensemble173 cited

2021Multi-class financial distress prediction based on support vector machines integrated with the decomposition and fusion methods144 cited

2016A two-stage classification technique for bankruptcy prediction142 cited

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2014AdaBoost based bankruptcy forecasting of Korean construction companies125 cited

2016The Logistic Lasso and Ridge Regression in Predicting Corporate Failure124 cited

2011AdaBoost ensemble for financial distress prediction: An empirical comparison with data from Chinese listed companies120 cited

2020A novel tree-based dynamic heterogeneous ensemble method for credit scoring109 cited

2012Classifiers selection in ensembles using genetic algorithms for bankruptcy prediction87 cited

2016Performance Comparison of Multiple Discriminant Analysis and Logit Models in Bankruptcy Prediction86 cited

2019Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends86 cited