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Cited by

• 2017Cost-based feature selection for Support Vector Machines: An application in credit scoring155 cited
• 2020Unequal Displacement: Gentrification, Racial Stratification, and Residential Destinations in Philadelphia127 cited
• 2014Forecasting bankruptcy for SMEs using hazard function: To what extent does size matter?82 cited
• 2013The application of brute force logistic regression to corporate credit scoring models: Evidence from Serbian financial statements81 cited
• 2021Modelling customers credit card behaviour using bidirectional LSTM neural networks78 cited
• 2010Predicting default of Russian SMEs on the basis of financial and non-financial variables77 cited
• 2011Does segmentation always improve model performance in credit scoring?76 cited
• 2017Empirical comparison of hazard models in predicting SMEs failure75 cited
• 2009Consumer finance: challenges for operational research62 cited
• 2012The Value of Operating Cash Flow in Modelling Credit Risk for SMEs59 cited
• 2019Network Based Scoring Models to Improve Credit Risk Management in Peer to Peer Lending Platforms55 cited
• 2012Granting and managing loans for micro-entrepreneurs: New developments and practical experiences53 cited
• 2014Improving credit scoring by differentiating defaulter behaviour47 cited