2026Open access
Role of Artificial Intelligence in Enhancing Suspicious Activity Reporting (Sar) for U.S Financial InstitutionsZenodo (CERN European Organization for Nuclear Research), Crime, Illicit Activities, and Governance
Active, last published 2026
In imbalanced data classification techniques
Yeboah Mary
Magdalene
“Research focused on Imbalanced Data Classification Techniques and adjacent fields.”
University of GhanaGhana
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Claim Your Profile01 · About the work
What I study
eboah Mary Magdalene is a researcher working on Imbalanced Data Classification Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Yeboah's work has been cited 0 times across 1 active year. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
05 · Research focus
Topics
Imbalanced Data Classification Techniques×2Crime, Illicit Activities, and Governance×2Cybercrime and Law Enforcement Studies×2
06 · Where I am
Affiliations
CurrentlyUniversity of Ghana, Ghana
Research themes (UN SDGs)
07 · Selected work
Recent publications
2026Open access
Role of Artificial Intelligence in Enhancing Suspicious Activity Reporting (Sar) for U.S Financial InstitutionsZenodo (CERN European Organization for Nuclear Research), Crime, Illicit Activities, and Governance
2026Open access
Systemic Implications of Digital Assurance Technologies: A Narrative ReviewZenodo (CERN European Organization for Nuclear Research), FinTech, Crowdfunding, Digital Finance
2026Open access
AI Audit Analytics for Strengthening Fraud Detection in Governmental and Nonprofit ReportingZenodo (CERN European Organization for Nuclear Research), Auditing, Earnings Management, Governance
2026Open access
Artificial Intelligence for Enhancing Audit Quality in Public CompaniesZenodo (CERN European Organization for Nuclear Research), Auditing, Earnings Management, Governance
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