Reem Alotaibi
Orcid: 0000-0001-9354-0046
According to our database1,
Reem Alotaibi
authored at least 35 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Int. J. Comput. Intell. Syst., December, 2024
Sensors, April, 2024
2023
Population affinity propagation approach for points of dispensing location allocation.
Appl. Intell., November, 2023
Fully supervised contrastive learning in latent space for face presentation attack detection.
Appl. Intell., October, 2023
Multim. Tools Appl., April, 2023
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model.
PeerJ Comput. Sci., 2023
A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection.
IEEE Access, 2023
2022
Machine Learning Approaches for Anomaly Detection in IoT: An Overview and Future Research Directions.
Wirel. Pers. Commun., 2022
An End-to-End Human Abnormal Behavior Recognition Framework for Crowds With Mentally Disordered Individuals.
IEEE J. Biomed. Health Informatics, 2022
Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study.
J. Ambient Intell. Humaniz. Comput., 2022
Fuzzy Command Filter Backstepping Control for Incommensurate Fractional-Order Systems via Composite Learning.
Int. J. Fuzzy Syst., 2022
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds.
CoRR, 2022
DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning.
IEEE Access, 2022
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022
Proceedings of the ICCTA 2022: 8th International Conference on Computer Technology Applications, Kapfenberg, Austria, May 12, 2022
2021
Secur. Priv., 2021
IEEE Internet Things J., 2021
A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring.
Comput. Networks, 2021
2020
AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia.
Int. J. Interact. Mob. Technol., 2020
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map.
Expert Syst. Appl., 2020
Performance Comparison and Analysis for Large-Scale Crowd Counting Based on Convolutional Neural Networks.
IEEE Access, 2020
2019
HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabeled Data in Internet of Things.
IEEE Access, 2019
Proceedings of the 6th Swiss Conference on Data Science, 2019
Proceedings of the Digital Libraries at the Crossroads of Digital Information for the Future, 2019
2018
Proceedings of the Fourth International Conference On Arabic Computational Linguistics, 2018
2016
Learning versatile decision trees: towards context-awareness and multi-label classification.
PhD thesis, 2016
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data.
IEEE Trans. Ind. Informatics, 2016
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
2014
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014