References

• 2007Using neural network ensembles for bankruptcy prediction and credit scoring514 cited
• 2010A comparative assessment of ensemble learning for credit scoring501 cited
• 2006A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy381 cited
• 2004Neural network ensemble strategies for financial decision applications332 cited
• 2007Forecasting financial condition of Chinese listed companies based on support vector machine246 cited
• 2010Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes236 cited
• 2008Credit scoring with macroeconomic variables using survival analysis232 cited
• 2009Subagging for credit scoring models213 cited
• 2006Application of support vector machines to corporate credit rating prediction205 cited
• 2007An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring198 cited
• 2009Least squares support vector machines ensemble models for credit scoring159 cited
• 2013Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings132 cited
• 2008Mining the customer credit using hybrid support vector machine technique122 cited
• 2007Listed companies’ financial distress prediction based on weighted majority voting combination of multiple classifiers