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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Enhancing Risk Management and Fraud Detection in the U.S. Financial Industry Through Machine Learning Algorithms: Applications, Challenges, and Future Directions

2025World Journal of Advanced Research and ReviewsJournalOpen access

10.5281/zenodo.17865459 Full text0 citations

Authors

5 authors across 5 institutions in 2 countries.

Amoako, Elizabeth KuukuaFirst author
Okeke, Precious Tochukwu
Boateng, Victor
Bonsu, Mildred Adwubi
Matthew Oman-AmoakoSenior author
- Accra Institute of Technology (GH)
as printed: Amoako, Matthew Oman

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Financial Distress and Bankruptcy Predictionlevel 3 · 0.77
Imbalanced Data Classification Techniqueslevel 3 · 0.04
FinTech, Crowdfunding, Digital Financelevel 3 · 0.02

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 5, 2026
2025 · World Journal of Advanced Research and Reviews · 0 citations
https://openalex.org/W7111320068

Enhancing Risk Management and Fraud Detection in the U.S. Financial Industry Through Machine Learning Algorithms: Applications, Challenges, and Future Directions · Sankore