A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges.
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| Title: | A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges. |
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| Authors: | Thivaios, Spiros1 (AUTHOR), Kostopoulos, Georgios1,2 (AUTHOR) kostopoulos.georgios@ac.eap.gr, Stefani, Antonia3 (AUTHOR), Kotsiantis, Sotiris1 (AUTHOR) |
| Source: | Algorithms. May2026, Vol. 19 Issue 5, p354. 39p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 194116653 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=194116653 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/a19050354 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 39 StartPage: 354 Titles: – TitleFull: A Survey of Machine Learning and Deep Learning for Financial Fraud Detection: Architectures, Data Modalities, and Real-World Deployment Challenges. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Thivaios, Spiros – PersonEntity: Name: NameFull: Kostopoulos, Georgios – PersonEntity: Name: NameFull: Stefani, Antonia – PersonEntity: Name: NameFull: Kotsiantis, Sotiris IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 19994893 Numbering: – Type: volume Value: 19 – Type: issue Value: 5 Titles: – TitleFull: Algorithms Type: main |
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