Weather impact on daily cases of COVID-19 in Saudi Arabia using machine learning. - Abdullah Alsuhaibani; Abdulrahman Alhaidari (CoRR, 2021)

CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels. - Abdullah Alsuhaibani; Imran Razzak; Shoaib Jameel; Xianzhi Wang 001; Guandong Xu (WISE (4), 2024)

IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification. - Abdullah Alsuhaibani; Hamad Zogan; Imran Razzak; Shoaib Jameel; Guandong Xu (WSDM, 2024)

Evaluating Large Language Models on Health-Related Claims Across Arabic Dialects. - Abdulsalam obaid Alharbi; Abdullah Alsuhaibani; Abdulrahman Abdullah Alalawi; Usman Naseem; Shoaib Jameel; Salil S. Kanhere; Imran Razzak (COLING Workshops, 2025)

Few Labels with Active Learning: From Weak to Strong Labels for Misinformation Detection. - Abdulrahman Abdullah Alalawi; Abdullah Alsuhaibani; Usman Naseem; Basem Suleiman; Shoaib Jameel; Imran Razzak (WWW (Companion Volume), 2025)

Flick: Few Labels Text Classification using K-Aware Intermediate Learning in Multi-Task Low-Resource Languages. - Ali Almutairi; Abdullah Alsuhaibani; Shoaib Jameel; Usman Naseem; Gelareh Mohammadi; Imran Razzak (CoRR, 2025)