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Reem  Alharthy
Reem Alharthy
Verified email at stu.kau.edu.sa
Title
Cited by
Cited by
Year
Detecting and characterizing arab spammers campaigns in twitter
R Alharthi, A Alhothali, K Moria
Procedia Computer Science 163, 248-256, 2019
132019
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
92021
An End-to-End Human Abnormal Behavior Detection Framework for Crowd with Mental Disorders.
Y Hao, Z Tang, B Alzahrani, R Alotaibi, R Alharthi, M Zhao, A Mahmood
IEEE Journal of Biomedical and Health Informatics, 2021
4*2021
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, 1-22, 2022
12022
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
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
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