Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection.
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| Title: | Applying explainable artificial intelligence to interpret supervised ensemble learning models for robust credit card fraud detection. |
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| Authors: | Awad SS; Computer Engineering & Systems Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. 2101391@eng.asu.edu.eg., Hamza AA; Elsewedy University of Technology, Cairo, Egypt., Sobh MA; Computer Engineering & Systems Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt.; Elsewedy University of Technology, Cairo, Egypt., Bahaa-Eldin AM; Computer Engineering & Systems Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. |
| Source: | Scientific reports [Sci Rep] 2026 May 15; Vol. 16 (1). Date of Electronic Publication: 2026 May 15. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2045-2322 |
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| DOI: | 10.1038/s41598-026-49939-5 |
