5 citations · 8 across the 5 of their papers we have counts for
5 papers
Adaptive Batch Normalization for Training Data with Heterogeneous Features
Wael Alsobhi, Tarik Alafif, Alaa Abdel-Hakim +1
Batch Normalization (BN) is an important preprocessing step to many deep learning applications. Since it is a data-dependent process, for some homogeneous datasets it is a redundan…
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification
Amira Alotaibi, Tarik Alafif, Faris Alkhilaiwi +5
Breast cancer is the most common cancer in the world and the second most common type of cancer that causes death in women. The timely and accurate diagnosis of breast cancer using…
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds
Tarik Alafif, Anas Hadi, Manal Allahyani +4
Individual abnormal behaviors vary depending on crowd sizes, contexts, and scenes. Challenges such as partial occlusions, blurring, large-number abnormal behavior, and camera viewi…
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization
Weiwei Zong, Eric Carver, Simeng Zhu +9
Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years. Model interpretation and domain drift have been the main road block…
Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild
Tarik Alafif, Zeyad Hailat, Melih Aslan +1
Face detection methods have relied on face datasets for training. However, existing face datasets tend to be in small scales for face learning in both constrained and unconstrained…