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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.

Comparative analysis of machine learning models for predicting online loan defaults in Nigeria

2024International Journal of Artificial Intelligence and Soft ComputingJournal

10.1504/ijaisc.2024.145626 Full text0 citations

Authors

4 authors across 2 institutions in 1 country.

Samuel FaluyiFirst author
- Tai Solarin University of Education (NG)
as printed: Samuel Gbenga Faluyi
Peter Adebayo Idowu
- Obafemi Awolowo University (NG)
Gbenga Oyewole Ogunsanwo
- Tai Solarin University of Education (NG)
Olumuyiwa Bamidele AlabaSenior author
- Tai Solarin University of Education (NG)

Fields

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

FinTech, Crowdfunding, Digital Financelevel 3 · 0.97
Financial Distress and Bankruptcy Predictionlevel 3 · 0.97

Sources

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

openalexseen September 9, 2026
2024 · International Journal of Artificial Intelligence and Soft Computing · 0 citations
https://openalex.org/W4409336374

Comparative analysis of machine learning models for predicting online loan defaults in Nigeria · Sankore