Mohamed Abdelaziz Mandour
Dalian University of Technology
Mohamed Abdelaziz Mandour received two bachelor’s degrees in accounting and management from Mansoura University’s Faculty of Commerce in June 2012 and June 2013. He received his master’s degree (M.Sc.) in business administration in 2017 from Mansoura University, Egypt. He worked as a teaching assistant at the faculty of commerce at Mansoura University from 2013 to 2019. A PhD student at Dalian University of Technology in Liaoning, China, since 2019, his current programme is investment. He is interested in using artificial intelligence and machine learning for credit default modelling and prediction. Mohamed Abdelaziz Mandour has one accepted paper at the Journal of Risk; he also has many other papers that are still under review in other journals related to the field of modelling development of ML for credit default prediction. He is expecting to publish at least three papers this year.
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Articles by Mohamed Abdelaziz Mandour
A modified hybrid feature-selection method based on a filter and wrapper approach for credit risk forecasting
This paper proposes the chi-squared with recursive feature elimination method: a means of feature-selection which aims to improve classification performance using fewer features.