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Zhiyong Li et al.
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Joaquin Abelian et al.
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Yanhong Guo et al.
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Application of a rule extraction algorithm family based on the Re-RX algorithm to financial credit risk assessment from a Pareto optimal perspective
Yoichi Hayashi
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Jianjun Li et al.
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Milad Malekipirbazari et al.
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A hybrid data mining model of feature selection algorithms and ensemble learning classifiers for credit scoring
Fatemeh Nemati Koutanaei et al.
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Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending
Riza Emekter et al.
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Development and application of consumer credit scoring models using profit-based V classification measures
Thomas Verbraken et al.
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An improved boosting based on feature selection for corporate bankruptcy prediction
Gang Wang et al.
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Desheng Dash Wu et al.
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C. Orsenigo et al.
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On the use of data filtering techniques for credit risk prediction with instance-based models
V. Garcia et al.
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Computational time reduction for credit scoring: An integrated approach based on support vector machine and stratified sampling method
Akhil Bandhu Hens et al.
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Exploring the behaviour of base classifiers in credit scoring ensembles
A. I. Marques et al.
EXPERT SYSTEMS WITH APPLICATIONS (2012)
Multiple classifier application to credit risk assessment
Bhekisipho Twala
EXPERT SYSTEMS WITH APPLICATIONS (2010)