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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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An improved multi-stage framework for large-scale hierarchical text classification problems using a modified feature hashing and bi-filtering strategy

2024International Journal of Data and Network ScienceJournalOpen access

10.5267/j.ijdns.2024.6.012 Full text2 citations

Authors

10 authors across 4 institutions in 3 countries.

Abubakar Ado RogoFirst author
- Maitama Sule University Kano (NG)
as printed: Abubakar Ado
Abdulkadir Abubakar Bichi
- Maitama Sule University Kano (NG)
Usman Haruna
- Maitama Sule University Kano (NG)
Mohammed Almaiah
Yahaya Garba Shawai
- National Open University of Nigeria (NG)
Rommel AlAli
Tayseer Alkhdour
Theyazn H H Aldhyani
as printed: Theyazn H.H Aldhyani
Mahmaod Alrawad
as printed: Mahmoad Al-rawad
Rami ShehabSenior author

Fields

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

Text and Document Classification Technologieslevel 3 · 0.99

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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 Data and Network Science · 2 citations
https://openalex.org/W4400653413

An improved multi-stage framework for large-scale hierarchical text classification problems using a modified feature hashing and bi-filtering strategy · Sankore