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Reem Alotaibi
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2020 – today
- 2024
- [j26]Nusaybah Alghanmi, Reem Alotaibi
, Sultanah Alshammari, Arif Mahmood:
Population Fusion Transformer for Subnational Population Forecasting. Int. J. Comput. Intell. Syst. 17(1): 26 (2024) - [j25]Nofe Alganmi
Uncovering hidden genetic risk factors for breast and ovarian cancers in BRCA-negative women: a machine learning approach in the Saudi population. PeerJ Comput. Sci. 10: e1942 (2024) - [j24]Najwa Altwaijry
Advancing Phishing Email Detection: A Comparative Study of Deep Learning Models. Sensors 24(7): 2077 (2024) - 2023
- [j23]Madini O. Alassafi
A Novel Deep Learning Architecture With Image Diffusion for Robust Face Presentation Attack Detection. IEEE Access 11: 59204-59216 (2023) - [j22]Sahar Aldhaheri
MACC Net: Multi-task attention crowd counting network. Appl. Intell. 53(8): 9285-9297 (2023) - [j21]Madini O. Alassafi
Fully supervised contrastive learning in latent space for face presentation attack detection. Appl. Intell. 53(19): 21770-21787 (2023) - [j20]Nusaybah Alghanmi
Population affinity propagation approach for points of dispensing location allocation. Appl. Intell. 53(22): 27392-27412 (2023) - [j19]Areej Alhothali
Anomalous event detection and localization in dense crowd scenes. Multim. Tools Appl. 82(10): 15673-15694 (2023) - [j18]Miada Almasri, Norah Al-Malki
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model. PeerJ Comput. Sci. 9: e1425 (2023) - 2022
- [j17]Abeer Alshehri
DeepAIA: An Automatic Image Annotation Model Based on Generative Adversarial Networks and Transfer Learning. IEEE Access 10: 38437-38445 (2022) - [j16]Fawaz E. Alsaadi, Xiulan Zhang
Fuzzy Command Filter Backstepping Control for Incommensurate Fractional-Order Systems via Composite Learning. Int. J. Fuzzy Syst. 24(7): 3293-3307 (2022) - [j15]Madini O. Alassafi
Time series predicting of COVID-19 based on deep learning. Neurocomputing 468: 335-344 (2022) - [j14]Rui Wang, Reem Alotaibi
AAC: Automatic Augmentation for Crowd Counting. Neurocomputing 500: 90-98 (2022) - [j13]Tarik K. Alafif, Bander A. Alzahrani, Yong Cao
Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study. J. Ambient Intell. Humaniz. Comput. 13(8): 4077-4088 (2022) - [j12]Yixue Hao
An End-to-End Human Abnormal Behavior Recognition Framework for Crowds With Mentally Disordered Individuals. IEEE J. Biomed. Health Informatics 26(8): 3618-3625 (2022) - [j11]Nusaybah Alghanmi
Machine Learning Approaches for Anomaly Detection in IoT: An Overview and Future Research Directions. Wirel. Pers. Commun. 122(3): 2309-2324 (2022) - [c8]Reem Alotaibi:
ARIMA Model for Stock Market Prediction. ICCTA 2022: 1-4 - [c7]Abeer Mohammed Alshehri, Reem Meteab Alotaibi
Accurate Crowd Counting using Merged Datasets. ICMLT 2022: 131-135 - [i1]Tarik Alafif, Anas Hadi
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds. CoRR abs/2207.11931 (2022) - 2021
- [j10]Yuan Tang
A joint global and local path planning optimization for UAV task scheduling towards crowd air monitoring. Comput. Networks 193: 107913 (2021) - [j9]Reem Alotaibi
Multi-label thresholding for cost-sensitive classification. Neurocomputing 436: 232-247 (2021) - [j8]Yingying Jiang
Ultra Large-Scale Crowd Monitoring System Architecture and Design Issues. IEEE Internet Things J. 8(13): 10356-10366 (2021) - [j7]Wenjing Xiao, Miao Li, Bander A. Alzahrani, Reem Alotaibi
A Blockchain-Based Secure Crowd Monitoring System Using UAV Swarm. IEEE Netw. 35(1): 108-115 (2021) - [j6]Reem Alotaibi
A new location-based privacy protection algorithm with deep learning. Secur. Priv. 4(1) (2021) - 2020
- [j5]Reem Alotaibi
Performance Comparison and Analysis for Large-Scale Crowd Counting Based on Convolutional Neural Networks. IEEE Access 8: 204425-204432 (2020) - [j4]Mehrbakhsh Nilashi
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map. Expert Syst. Appl. 159: 113562 (2020) - [j3]Reem Alotaibi
AI Chatbot for Tourist Recommendations: A Case Study in the City of Jeddah, Saudi Arabia. Int. J. Interact. Mob. Technol. 14(19): 18-30 (2020)
2010 – 2019
- 2019
- [j2]Nusaybah Alghanmi
HLMCC: A Hybrid Learning Anomaly Detection Model for Unlabeled Data in Internet of Things. IEEE Access 7: 179492-179504 (2019) - [c6]Rawan N. Al-Matham, Wed Al-Ateeq, Reem Alotaibi
Towards a Story-Based Search Engine for Arabic-Speaking Children. ICADL 2019: 205-212 - [c5]Nusaybah Alghanmi, Reem Alotaibi
TCMD: A Two-Tier Classification Model for Anomaly-Based Detection in IoT. SDS 2019: 130-135 - 2018
- [c4]Nora Al-Twairesh, Rawan N. Al-Matham, Nora Madi, Nada Almugren, Al-Hanouf Al-Aljmi, Shahad Alshalan, Raghad Alshalan, Nafla Alrumayyan
SUAR: Towards Building a Corpus for the Saudi Dialect. ACLING 2018: 72-82 - 2016
- [b1]Reem Alotaibi:
Learning versatile decision trees: towards context-awareness and multi-label classification. University of Bristol, UK, 2016 - [j1]Reem Al-Otaibi
Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data. IEEE Trans. Ind. Informatics 12(2): 645-654 (2016) - [c3]Reem Al-Otaibi
Declaratively Capturing Local Label Correlations with Multi-Label Trees. ECAI 2016: 1467-1475 - 2015
- [c2]Reem Al-Otaibi
Versatile Decision Trees for Learning Over Multiple Contexts. ECML/PKDD (1) 2015: 184-199 - 2014
- [c1]Reem Al-Otaibi
LaCova: A Tree-Based Multi-label Classifier Using Label Covariance as Splitting Criterion. ICMLA 2014: 74-79
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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