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Mohammed Al-Garadi
Mohammed Al-Garadi
Research Assistant Professor, Vanderbilt University
Verified email at vumc.org
Title
Cited by
Cited by
Year
A survey of machine and deep learning methods for internet of things (IoT) security
MA Al-Garadi, A Mohamed, A Al-Ali, X Du, I Ali, M Guizani
IEEE Communications Surveys & Tutorials, 2020
9932020
Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
HF Nweke, YW Teh, MA Al-Garadi, UR Alo
Expert Systems with Applications 105, 233-261, 2018
8572018
Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network
MA Al-garadi, KD Varathan, SD Ravana
Computers in Human Behavior 63, 433-443, 2016
4002016
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
HF Nweke, YW Teh, G Mujtaba, MA Al-Garadi
Information Fusion 46, 147-170, 2019
3652019
The rise of ransomware and emerging security challenges in the Internet of Things
I Yaqoob, E Ahmed, MH ur Rehman, AIA Ahmed, MA Al-garadi, M Imran, ...
Computer Networks 129, 444-458, 2017
3222017
Deep learning-based breast cancer classification through medical imaging modalities: state of the art and research challenges
G Murtaza, L Shuib, AWA Wahab, G Mujtaba, HF Nweke, MA Al-garadi, ...
Artificial Intelligence Review, 1-66, 2019
2522019
Design challenges of multi-UAV systems in cyber-physical applications: A comprehensive survey and future directions
R Shakeri, MA Al-Garadi, A Badawy, A Mohamed, T Khattab, AK Al-Ali, ...
IEEE Communications Surveys & Tutorials 21 (4), 3340-3385, 2019
2412019
Using online social networks to track a pandemic: A systematic review
MA Al-Garadi, MS Khan, KD Varathan, G Mujtaba, AM Al-Kabsi
Journal of biomedical informatics 62, 1-11, 2016
2152016
Sentiment analysis of big data: methods, applications, and open challenges
S Shayaa, NI Jaafar, S Bahri, A Sulaiman, PS Wai, YW Chung, AZ Piprani, ...
Ieee Access 6, 37807-37827, 2018
2012018
Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource
A Sarker, S Lakamana, W Hogg-Bremer, A Xie, MA Al-Garadi, YC Yang
Journal of the American Medical Informatics Association, 2020
1512020
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges
MA Al-Garadi, MR Hussain, N Khan, G Murtaza, HF Nweke, I Ali, ...
IEEE Access 7, 70701-70718, 2019
1482019
Email classification research trends: review and open issues
G Mujtaba, L Shuib, RG Raj, N Majeed, MA Al-Garadi
IEEE Access 5, 9044-9064, 2017
1362017
Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method
MA Al-garadi, KD Varathan, SD Ravana
Physica A: Statistical Mechanics and its Applications 468, 278-288, 2017
1262017
Analysis of online social network connections for identification of influential users: Survey and open research issues
MA Al-Garadi, KD Varathan, SD Ravana, E Ahmed, G Mujtaba, ...
ACM Computing Surveys (CSUR) 51 (1), 1-37, 2018
1142018
Dynamic butterfly optimization algorithm for feature selection
M Tubishat, M Alswaitti, S Mirjalili, MA Al-Garadi, TA Rana
IEEE Access 8, 194303-194314, 2020
1012020
Speaker identification through artificial intelligence techniques: A comprehensive review and research challenges
R Jahangir, YW Teh, HF Nweke, G Mujtaba, MA Al-Garadi, I Ali
Expert Systems with Applications 171, 114591, 2021
852021
Text classification models for the automatic detection of nonmedical prescription medication use from social media
MA Al-Garadi, YC Yang, H Cai, Y Ruan, K O’Connor, GH Graciela, ...
BMC medical informatics and decision making 21, 1-13, 2021
722021
Overview of the sixth social media mining for health applications (# smm4h) shared tasks at naacl 2021
A Magge, A Klein, A Miranda-Escalada, MA Al-Garadi, I Alimova, ...
Proceedings of the Sixth Social Media Mining for Health (# SMM4H) Workshop …, 2021
682021
Application of Machine Learning Methods in Mental Health Detection: A Systematic Review
R Abd Rahman, K Omar, SAM Noah, MSNM Danuri, MA Al-Garadi
IEEE Access 8, 183952-183964, 2020
672020
Multi-sensor fusion based on multiple classifier systems for human activity identification
HF Nweke, YW Teh, G Mujtaba, UR Alo, MA Al-garadi
Human-centric Computing and Information Sciences 9, 1-44, 2019
672019
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