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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.

Evaluating the Performance of Heterogeneous and Homogeneous Ensemble-based Models for Twitter Spam Classification

2022Innovative Computing ReviewJournalOpen access

10.32350/icr.0202.01 Full text0 citations

Authors

6 authors across 2 institutions in 1 country.

Akinyemi OyelakinFirst author
- Al-Hikmah University (NG)
as printed: Akinyemi Moruff OYELAKIN
Ahmed Oloduowo Ameen
- University of Ilorin (NG)
as printed: A. O. Ameen
I. K. Ajiboye
- Al-Hikmah University (NG)
Ikeola S. Olatinwo
- Al-Hikmah University (NG)
as printed: I. S. Olatinwo
Kolawole Y. Obiwusi
as printed: K. Y.Obiwusi
T. S. OgundeleSenior author
- Al-Hikmah University (NG)

Fields

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

Spam and Phishing Detectionlevel 3 · 1.00
Text and Document Classification Technologieslevel 3 · 1.00
Network Security and Intrusion Detectionlevel 3 · 1.00

Sources

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

openalexseen September 9, 2026
2022 · Innovative Computing Review · 0 citations
https://openalex.org/W4382809032

Evaluating the Performance of Heterogeneous and Homogeneous Ensemble-based Models for Twitter Spam Classification · Sankore