Reem Alotaibi
Cited by
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An Analytical Study on the Awareness, Attitude and Practice During the COVID-19 Pandemic in Riyadh, Saudi Arabia
H Alahdal, F Basingab, R Alotaibi
Journal of Infection and Public Health, 2020
Feature construction and calibration for clustering daily load curves from smart-meter data
R Al-Otaibi, N Jin, T Wilcox, P Flach
IEEE Transactions on industrial informatics 12 (2), 645-654, 2016
Remote tracking of Parkinson's disease progression using ensembles of deep belief network and self-organizing map
M Nilashi, H Ahmadi, A Sheikhtaheri, R Naemi, R Alotaibi, AA Alarood, ...
Expert Systems with Applications 159, 113562, 2020
A blockchain-based secure crowd monitoring system using UAV swarm
W Xiao, M Li, B Alzahrani, R Alotaibi, A Barnawi, Q Ai
IEEE Network 35 (1), 108-115, 2021
Time series predicting of COVID-19 based on deep learning
MO Alassafi, M Jarrah, R Alotaibi
Neurocomputing 468, 335-344, 2022
HMATC: Hierarchical multi-label Arabic text classification model using machine learning
N Aljedani, R Alotaibi, M Taileb
Egyptian Informatics Journal, 1-13, 2020
Controlling COVID-19 pandemic: a mass screening experience in Saudi Arabia
AA Khan, HM Alahdal, RM Alotaibi, HS Sonbol, RH Almaghrabi, ...
Frontiers in Public Health 8, 606385, 2021
Multi-label classification: A comparative study on threshold selection methods
R Al-Otaibi, P Flach, M Kull
First International Workshop on Learning over Multiple Contexts (LMCE) at …, 2014
A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring
Y Tang, Y Miao, A Barnawi, B Alzahrani, R Alotaibi, K Hwang
Computer Networks, 2021
Versatile decision trees for learning over multiple contexts
R Al-Otaibi, RBC Prudêncio, M Kull, P Flach
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia
R Alotaibi, A Ali, H Alharthi, R Almehamdi
International Association of Online Engineering, 2020
HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabelled Data in Internet of Things
N Alghanmi, R Alotaibi, S Buhari
IEEE Access, 2019
Lacova: A tree-based multi-label classifier using label covariance as splitting criterion
R Al-Otaibi, M Kull, P Flach
2014 13th International Conference on Machine Learning and Applications, 74-79, 2014
Ultra large-scale crowd monitoring system architecture and design issues
Y Jiang, Y Miao, B Alzahrani, A Barnawi, R Alotaibi, L Hu
IEEE Internet of Things Journal 8 (13), 10356-10366, 2021
Generative adversarial network based abnormal behavior detection in massive crowd videos: a hajj case study
T Alafif, B Alzahrani, Y Cao, R Alotaibi, A Barnawi, M Chen
Journal of Ambient Intelligence and Humanized Computing 13 (8), 4077-4088, 2022
On the prediction of isolation, release, and decease states for COVID-19 patients: A case study in South Korea
T Alafif, R Alotaibi, A Albassam, A Almudhayyani
ISA Transactions, 2021
Intelligent querying for adaptive course preparation and delivery in e-learning
R Al-Otaibi, S Gamalel-Din
the Proceedings of the Ninth IASTED International Conference on Webbased …, 2010
Smart Assistant for Adaptive Course Preparation and Delivery in E-Learning Environments
S Gamalel-Din, R Al-Otaibi
The 7th European Conference on e-Learning, Cyprus, 6-7, 2008
Multi-label thresholding for cost-sensitive classification
R Alotaibi, P Flach
Neurocomputing 436, 232-247, 2021
Declaratively capturing local label correlations with multi-label trees
R Al-Otaibi, M Kull, P Flach
ECAI 2016, 1467-1475, 2016
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