1 citations · 2 across the 3 of their papers we have counts for
3 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…
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…