Browsing by Author "Mirza,F.K."

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    Citation - Scopus: 4
    Using Hybrid Approaches for Credit Application Scoring
    (Institute of Electrical and Electronics Engineers Inc., 2023) Mirza,F.K.; Ogrenci,A.S.
    Using various methods of computational intelligence, scores for credit applications are predicted for making a decision to accept or to reject. Past data about credits accepted in a financial institution are used to develop hybrid models implementing gradient boosting and attention supported neural networks. The performance (Gini scores above 0.7), limitations and further research directions are discussed. © 2023 IEEE.