Author

L. Aliyu

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Open access Sep 2026

Enhancing disease surveillance in Nigeria through machine learning: opportunities, challenges and strategic recommendations

This paper presents a methodological illustration of malaria surveillance in Northern Nigeria using synthetic data, benchmarking five ML models under temporal validation, and employing SHapley Additive exPlanations for robust model interpretability, and proposes a tiered strategic framework encompassing policy, infrast...

L. Aliyu, Abbas B. Umar, Saifuddeen K. Sani et al. · BMC Artificial Intelligence · 1 citation

HausaNLP at SemEval-2026 Task 7: A Locale-Conditional, Multi-Model Prompting Pipeline for Hausa Cultural Question Answering

Error analysis shows that a non-trivial fraction of failures are placeholder strings caused by API errors rather than incorrect generations, and that surface-level mismatches (verbosity, ortho-graphic variation) account for many of the remaining errors.

F. Adam, Sani Aji, L. Aliyu et al. · 0 citations

Open access 2026

Team HausaNLP at SemEval-2026 Task 4: Narratives via Semantic Embeddings

A systematic ablation comparing five approaches to identify the more narratively similar of two candidate stories relative to an anchor identifies five systematic failure categories, distinct from the All Correct / Partial cases, including 23 Lexical Trap cases, 23 Hard Cases, and 24 Proposed-Recovery cases.

F. Adam, L. Aliyu, Sani Aji · SemEval@ACL · 1 citation