On Classifying Facial Races with Partial Occlusions and Pose Variations. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (ICMLA, 2017)

On Detecting Partially Occluded Faces with Pose Variations. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (ISPAN-FCST-ISCC, 2017)

Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. - Tarik K. Alafif; Zeyad Hailat; Melih S. Aslan; Xue-wen Chen 001 (CoRR, 2017)

Multi-channel multi-model feature learning for face recognition. - Melih S. Aslan; Zeyad Hailat; Tarik K. Alafif; Xue-wen Chen 001 (Pattern Recognit. Lett., 2017)

Crowd Flow Collisions Simulation (Student Consortium). - Aseel Bajhmoum; Muath Alghamdi; Saud Alboqami; Mohammad Alasmari; Tarik Alafif; Abdulaziz Alshaer (BigMM, 2020)

Normal and Abnormal Heart Rates Recognition Using Transfer Learning. - Tarik K. Alafif; Mehrez Boulares; Ahmed Barnawi; Talal Alafif; Hassan Althobaiti; Ali Alferaidi (KSE, 2020)

Performance Comparison and Analysis for Large-Scale Crowd Counting Based on Convolutional Neural Networks. - Reem Alotaibi; Bander A. Alzahrani; Rui Wang 077; Tarik K. Alafif; Ahmed Barnawi; Long Hu (IEEE Access, 2020)

Transfer Learning Benchmark for Cardiovascular Disease Recognition. - Mehrez Boulares; Tarik K. Alafif; Ahmed Barnawi (IEEE Access, 2020)

Nucleus and Micronucleus (NucRec) Dataset. - Tarik Alafif (IEEE DataPort, 2020)

Airborne LiDAR Assisted Obstacle Recognition and Intrusion Detection Towards Unmanned Aerial Vehicle: Architecture, Modeling and Evaluation. - Yiming Miao; Yuan Tang; Bander A. Alzahrani; Ahmed Barnawi; Tarik K. Alafif; Long Hu (IEEE Trans. Intell. Transp. Syst., 2021)

Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. - Weiwei Zong; Eric Nathan Carver; Simeng Zhu; Eric Schaff; Daniel Chapman; Joon Lee; Hassan Bagher-Ebadian; Indrin J. Chetty; Benjamin Movsas; Winston Wen; Tarik Alafif; Xiangyun Zong (CoRR, 2022)

Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds. - Tarik Alafif; Anas Hadi; Manal Nawar Allahyani; Bander A. Alzahrani; Areej Matoog Alhothali; Reem Alotaibi; Ahmed Barnawi (CoRR, 2022)

ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification. - Amira Alotaibi; Tarik Alafif; Faris Alkhilaiwi; Yasser Alatawi; Hassan Althobaiti; Abdulmajeed Alrefaei; Yousef M. Hawsawi; Tin Nguyen 001 (CoRR, 2022)

Adaptive Batch Normalization for Training Data with Heterogeneous Features. - Wael Alsobhi; Tarik Alafif; Alaa E. Abdel-Hakim; Weiwei Zong (CoRR, 2022)

Generative adversarial network based abnormal behavior detection in massive crowd videos: a Hajj case study. - Tarik K. Alafif; Bander A. Alzahrani; Yong Cao 001; Reem Alotaibi; Ahmed Barnawi; Min Chen 003 (J. Ambient Intell. Humaniz. Comput., 2022)

Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System. - Yiming Miao; Jun Yang 014; Bander A. Alzahrani; Guoguang Lv; Tarik Alafif; Ahmed Barnawi; Min Chen 003 (IEEE Netw., 2022)

DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. - Manal Nawar Allahyani; Rahaf Alsulami; Taif Alwafi; Tarik Alafif; Heyfa Ammar; Sari Sabban; Xue-wen Chen 001 (Artif. Intell., 2023)

Toward an Integrated Intelligent Framework for Crowd Control and Management (IICCM). - Tarik Alafif; Mohammad S. Jassas; Alaa E. Abdel-Hakim; Ghada Alfattni; Hassan Althobaiti; Mohammed Abdulaziz Ikram; Amirah Alharbi; Hussam J. Alsharif; Mazin Alshamrani; Ebtisam Alharbi; Tahani Alsubait; Abdullah N. Al-Hawsawi; et al. (IEEE Access, 2025)

From data to insights: a comprehensive analysis of pilgrims stress and fatigue during Hajj using wearable remote sensing systems. - Mazin Alshamrani; Shema Alhazmi; Tarik Alafif; Thamir M. Qadah; Malak Aljabri; Walla Al-Eidarous; Abdullah N. Al-Hawsawi (J. King Saud Univ. Comput. Inf. Sci., 2025)

Correction: From data to insights: a comprehensive analysis of pilgrims stress and fatigue during Hajj using wearable remote sensing systems. - Mazin Alshamrani; Shema Alhazmi; Tarik Alafif; Thamir M. Qadah; Malak Aljabri; Walla Al-Eidarous; Abdullah N. Al-Hawsawi (J. King Saud Univ. Comput. Inf. Sci., 2025)