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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 Classifiers for Yellow Fever Diagnosis Using Causative Data: Evaluating Naïve Bayes, KNN, RIPPER, and PART

2025Communications in computer and information sciencePublication

10.1007/978-3-031-92178-0_13 Full text2 citations

Authors

6 authors across 4 institutions in 3 countries.

Said BaadelFirst authorCorresponding
Kingsley Attai
Borono Bassey
- University of Uyo Teaching Hospital (NG)
as printed: Brain Bassey
Ekerette Attai
Asim Majeed
Faith-Michael UzokaSenior author

Fields

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

Anomaly Detection Techniques and Applicationslevel 3 · 0.98
Imbalanced Data Classification Techniqueslevel 3 · 0.97
Data-Driven Disease Surveillancelevel 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 · Communications in computer and information science · 2 citations
https://openalex.org/W4411653785

Comparative Analysis of Machine Learning Classifiers for Yellow Fever Diagnosis Using Causative Data: Evaluating Naïve Bayes, KNN, RIPPER, and PART · Sankore