Countries
Institutions
Fields
Rankings
Compare

Search institutions, scholars, countries and publications

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.

Built from

OpenAlex — works, authorships, subject classification
ROR — institutional identity
ORCID — researcher identity
Crossref — publisher confirmation

Browse

Countries
Institutions
Fields
Rankings
What we cover

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.

Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis

2023STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & HealthBook Chapter

10.1007/978-3-031-41352-0_18 Full text22 citations

Authors

5 authors across 5 institutions in 2 countries.

Olushina Olawale AweFirst authorCorresponding
as printed: O. Olawale Awe
Goodness Oluwamayokun Opateye
- Obafemi Awolowo University (NG)
Chinonyerem Anamemena Grace Johnson
- University of Ibadan (NG)
Oyelahan Tobi Tayo
- University of Ilorin (NG)
Ronaldo DiasSenior author

Fields

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

Digital Imaging for Blood Diseaseslevel 3 · 1.00
Machine Learning and Data Classificationlevel 3 · 1.00
Imbalanced Data Classification Techniqueslevel 3 · 0.99

Sources

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

openalexseen September 9, 2026
2023 · STEAM-H: Science, Technology, Engineering, Agriculture, Mathematics & Health · 22 citations
https://openalex.org/W4390623460

Weighted Hard and Soft Voting Ensemble Machine Learning Classifiers: Application to Anaemia Diagnosis · Sankore