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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.

A Comparative Analysis of the Performance of Parallel Ensemble and Sequential Ensemble Machine Learning Methods in the Detection of Diabetes Miletus

2025Procedia Computer SciencePublicationOpen access

10.1016/j.procs.2025.04.340 Full text2 citations

Authors

7 authors across 5 institutions in 2 countries.

Blessing Oluwatobi OlorunfemiFirst author
- Redeemer's University (NG)
Emmanuel Abidemi AdeniyiCorresponding
- Bowen University (NG)
as printed: Abidemi Emmanuel Adeniyi
Adewale Opeoluwa Ogunde
- Redeemer's University (NG)
Israel Korede Adeyanju
Israel Korede Adeyanju
Frederick Oscar
- University of Abuja (NG)
Nabeela T. AdebolaSenior author

Fields

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

Artificial Intelligence in Healthcarelevel 3 · 1.00
Machine Learning in Healthcarelevel 3 · 0.97
COVID-19 diagnosis using AIlevel 3 · 0.96

Sources

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

openalexseen September 9, 2026
2025 · Procedia Computer Science · 2 citations
https://openalex.org/W4410253155

A Comparative Analysis of the Performance of Parallel Ensemble and Sequential Ensemble Machine Learning Methods in the Detection of Diabetes Miletus · Sankore