Ayman S. El-Baz
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 18 citations into it; #17,784 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 16 citations into it
- Psychiatry and Mental health — 8 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Ayman S. El-Baz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew D. Zeiler
- Heung-Il Suk
- Yoshua Bengio
- Geoffrey E. Hinton
- Alireza Makhzani
- Dinggang Shen
- Yann LeCun
- Alex Krizhevsky
- Ian J. Goodfellow
Who trusts Ayman S. El-Baz overall
Papers from Ayman S. El-Baz's perspective
Ordered by how strongly the researchers Ayman S. El-Baz trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions