Improving content popularity prediction with k-means clustering and deep-belief networks. - Zahra Movahedi Nia; Mohammad Reza Khayyambashi (Multim. Tools Appl., 2021)

Twitter-Based Gender Recognition Using Transformers. - Zahra Movahedi Nia; Ali Ahmadi; Bruce Mellado; Jianhong Wu; James Orbinski; Ali Asgary; Jude Dzevela Kong (CoRR, 2022)

Detecting the Presence of COVID-19 Vaccination Hesitancy from South African Twitter Data Using Machine Learning. - Nicholas Perikli; Srimoy Bhattacharya; Blessing Ogbuokiri; Zahra Movahedi Nia; Benjamin Lieberman; Nidhi Tripathi; Salah-Eddine Dahbi; Finn Stevenson; Nicola Luigi Bragazzi; Jude Dzevela Kong; Bruce Mellado (CoRR, 2023)

COVID-19 South African Vaccine Hesitancy Models Show Boost in Performance Upon Fine-Tuning on M-pox Tweets. - Nicholas Perikli; Srimoy Bhattacharya; Blessing Ogbuokiri; Zahra Movahedi Nia; Benjamin Lieberman; Nidhi Tripathi; Salah-Eddine Dahbi; Finn Stevenson; Nicola Luigi Bragazzi; Jude Dzevela Kong; Bruce Mellado (CoRR, 2023)

Vaccine Hesitancy Hotspots in Africa: An Insight From Geotagged Twitter Posts. - Blessing Ogbuokiri; Ali Ahmadi; Zahra Movahedi Nia; Bruce Mellado; Jiahong Wu; James Orbinski; Ali Asgary; Jude Dzevela Kong (IEEE Trans. Comput. Soc. Syst., 2024)

Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak. - Zahra Movahedi Nia; Laleh Seyyed-Kalantari; M. Goitom; Bruce Mellado; Ali Ahmadi; Ali Asgary; James Orbinski; Jianhong Wu; Jude Dzevela Kong (Artif. Intell. Medicine, 2025)