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The evaluation of consumer loans using support vector machines

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References

2003Financial time series forecasting using support vector machines1,734 cited
2001Application of support vector machines in financial time series forecasting1,270 cited
2004Forecasting stock market movement direction with support vector machine1,119 cited
1997Statistical Classification Methods in Consumer Credit Scoring: A Review1,039 cited
2000Neural network credit scoring models1,032 cited
2003Credit rating analysis with support vector machines and neural networks: a market comparative study1,017 cited
2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
2004An application of support vector machines in bankruptcy prediction model809 cited
2000A survey of credit and behavioural scoring: forecasting financial risk of lending to consumers744 cited
1999Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis677 cited
2002An Empirical Analysis of Personal Bankruptcy and Delinquency540 cited
1996A comparison of neural networks and linear scoring models in the credit union environment522 cited
2001Financial Forecasting Using Support Vector Machines392 cited
2005A two-stage hybrid credit scoring model using artificial neural networks and multivariate adaptive regression splines

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389 cited

2002Modified support vector machines in financial time series forecasting372 cited

2002Credit scoring using the hybrid neural discriminant technique355 cited

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2009The consumer loan default predicting model – An application of DEA–DA and neural network94 cited
2014Credit rating with a monotonicity-constrained support vector machine model89 cited
2008A support vector machine model for contractor prequalification83 cited
2015A new dynamic modeling framework for credit risk assessment82 cited
2007Predicting financial activity with evolutionary fuzzy case-based reasoning78 cited
2009A NEURAL NETWORK MODEL FOR CREDIT RISK EVALUATION78 cited
2022Deep reinforcement learning with the confusion-matrix-based dynamic reward function for customer credit scoring77 cited
2010Credit Scoring Models using Soft Computing Methods: A Survey77 cited
2018Applying a nonparametric random forest algorithm to assess the credit risk of the energy industry in China73 cited
2023Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods71 cited
2016Classification methods applied to credit scoring: Systematic review and overall comparison68 cited
2019Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches66 cited
2018Topological applications of multilayer perceptrons and support vector machines in financial decision support systems59 cited