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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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Determining the creditworthiness of borrowers in Blockchain-based peer-to-peer lending systems using machine learning

2024Publication

10.1109/icast61769.2024.10856478 Full text0 citations

Authors

4 authors across 3 institutions in 1 country.

Andrene Nii Ayitey AddyFirst author
- University of Energy and Natural Resources (GH)
Adebayo Felix Adekoya
- University of Ghana (GH)
- Catholic University College of Ghana (GH)
Anokye Acheampong Amponsah
- University of Energy and Natural Resources (GH)
Samuel T. BoatengSenior author
- University of Energy and Natural Resources (GH)
as printed: Samuel Boateng

Fields

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

FinTech, Crowdfunding, Digital Financelevel 3 · 1.00
Financial Distress and Bankruptcy Predictionlevel 3 · 1.00
Microfinance and Financial Inclusionlevel 3 · 0.98

Sources

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

openalexseen September 5, 2026
2024 · 0 citations
https://openalex.org/W4406983343

Determining the creditworthiness of borrowers in Blockchain-based peer-to-peer lending systems using machine learning · Sankore