APA (7th ed.) Citation

Altarawneh, A., Swift, S., Tucker, A., & Arzoky, M. (2026). Ontology-Enriched Abstract Topic Modelling for Biomedical Trend Discovery: A MeSH-based LDA Framework with BI Visual Analytics. 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA), Computational Intelligence Approaches and Applications (ICCIAA), 2026 2nd International Conference on, 1. https://doi.org/10.1109/ICCIAA68481.2026.11544024

Chicago Style (17th ed.) Citation

Altarawneh, Ahmad, Stephen Swift, Allan Tucker, and Mahir Arzoky. "Ontology-Enriched Abstract Topic Modelling for Biomedical Trend Discovery: A MeSH-based LDA Framework with BI Visual Analytics." 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA), Computational Intelligence Approaches and Applications (ICCIAA), 2026 2nd International Conference on 2026: 1. https://doi.org/10.1109/ICCIAA68481.2026.11544024.

MLA (9th ed.) Citation

Altarawneh, Ahmad, et al. "Ontology-Enriched Abstract Topic Modelling for Biomedical Trend Discovery: A MeSH-based LDA Framework with BI Visual Analytics." 2026 2nd International Conference on Computational Intelligence Approaches and Applications (ICCIAA), Computational Intelligence Approaches and Applications (ICCIAA), 2026 2nd International Conference on, 2026, p. 1, https://doi.org/10.1109/ICCIAA68481.2026.11544024.