An end-to-end human abnormal behavior recognition framework for crowds with mentally disordered individuals Y Hao, Z Tang, B Alzahrani, R Alotaibi, R Alharthi, M Zhao, A Mahmood IEEE Journal of Biomedical and Health Informatics 26 (8), 3618-3625, 2021 | 26 | 2021 |
A real-time deep-learning approach for filtering Arabic low-quality content and accounts on Twitter R Alharthi, A Alhothali, K Moria Information Systems 99, 101740, 2021 | 26 | 2021 |
Detecting and characterizing arab spammers campaigns in twitter R Alharthi, A Alhothali, K Moria Procedia Computer Science 163, 248-256, 2019 | 15 | 2019 |
Anomalous event detection and localization in dense crowd scenes A Alhothali, A Balabid, R Alharthi, B Alzahrani, R Alotaibi, A Barnawi Multimedia Tools and Applications 82 (10), 15673-15694, 2023 | 13 | 2023 |
Massive crowd abnormal behaviors recognition using c3d R Alharthi, A Alhothali, B Alzahrani, S Aldhaheri 2023 IEEE International Conference on Consumer Electronics (ICCE), 01-06, 2023 | 4 | 2023 |
Comprehensive Analysis of Two Malicious Arabic-Language Twitter Campaigns KM Reem Alharthy, Areej Alhothali International Journal of Advanced Computer Science and Applications 12 (4), 2021 | | 2021 |
Detecting Malicious Campaigns in Social Networks based on a Collective Behavior Analysis RMA Alharthi, K Moria, A Alhothali King Abdulaziz University, 2020 | | 2020 |