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ORCIDTarik K. Alafif
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2020 – today
- 2023
[j7]Manal Nawar Allahyani, Rahaf Alsulami, Taif Alwafi, Tarik Alafif, Heyfa Ammar
, Sari Sabban, Xuewen Chen:
DivGAN: A diversity enforcing generative adversarial network for mode collapse reduction. Artif. Intell. 317: 103863 (2023)- 2022
- [j6]Tarik K. Alafif, Bander A. Alzahrani, Yong Cao, Reem Alotaibi, Ahmed Barnawi, Min Chen:
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) - [j5]Yiming Miao, Jun Yang, Bander A. Alzahrani, Guoguang Lv, Tarik Alafif, Ahmed Barnawi, Min Chen:
Abnormal Behavior Learning Based on Edge Computing toward a Crowd Monitoring System. IEEE Netw. 36(3): 90-96 (2022) - [i5]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:
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization. CoRR abs/2206.06235 (2022) - [i4]Tarik Alafif, Anas Hadi, Manal Nawar Allahyani, Bander A. Alzahrani, Areej Matoog Alhothali, Reem Alotaibi, Ahmed Barnawi:
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds. CoRR abs/2207.11931 (2022) - [i3]Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi, Yasser Alatawi, Hassan Althobaiti, Abdulmajeed Alrefaei, Yousef M. Hawsawi, Tin Nguyen:
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification. CoRR abs/2211.00749 (2022) - [i2]Wael Alsobhi, Tarik Alafif, Alaa E. Abdel-Hakim, Weiwei Zong:
Adaptive Batch Normalization for Training Data with Heterogeneous Features. CoRR abs/2211.02050 (2022) - 2021
- [j4]Yiming Miao, Yuan Tang, Bander A. Alzahrani, Ahmed Barnawi, Tarik K. Alafif, Long Hu:
Airborne LiDAR Assisted Obstacle Recognition and Intrusion Detection Towards Unmanned Aerial Vehicle: Architecture, Modeling and Evaluation. IEEE Trans. Intell. Transp. Syst. 22(7): 4531-4540 (2021) - 2020
- [j3]Mehrez Boulares, Tarik K. Alafif, Ahmed Barnawi:
Transfer Learning Benchmark for Cardiovascular Disease Recognition. IEEE Access 8: 109475-109491 (2020) - [j2]Reem Alotaibi, Bander A. Alzahrani, Rui Wang, Tarik K. Alafif, Ahmed Barnawi, Long Hu:
Performance Comparison and Analysis for Large-Scale Crowd Counting Based on Convolutional Neural Networks. IEEE Access 8: 204425-204432 (2020) - [c4]Aseel Bajhmoum, Muath Alghamdi, Saud Alboqami, Mohammad Alasmari, Tarik Alafif, Abdulaziz Alshaer:
Crowd Flow Collisions Simulation (Student Consortium). BigMM 2020: 312-315 - [c3]Tarik K. Alafif, Mehrez Boulares, Ahmed Barnawi, Talal Alafif, Hassan Althobaiti, Ali Alferaidi:
Normal and Abnormal Heart Rates Recognition Using Transfer Learning. KSE 2020: 275-280 - [d1]Tarik Alafif:
Nucleus and Micronucleus (NucRec) Dataset. IEEE DataPort, 2020
2010 – 2019
- 2017
- [j1]Melih S. Aslan, Zeyad Hailat, Tarik K. Alafif, Xue-wen Chen:
Multi-channel multi-model feature learning for face recognition. Pattern Recognit. Lett. 85: 79-83 (2017) - [c2]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen:
On Classifying Facial Races with Partial Occlusions and Pose Variations. ICMLA 2017: 679-684 - [c1]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen:
On Detecting Partially Occluded Faces with Pose Variations. ISPAN-FCST-ISCC 2017: 28-37 - [i1]Tarik K. Alafif, Zeyad Hailat, Melih S. Aslan, Xuewen Chen:
Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild. CoRR abs/1706.08690 (2017)
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