Ezz El-Din Hemdan

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it; #15,498 of 35,345 by trust here, #17,776 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #9,909 of 21,575 by trust here, #11,950 by citations
• Model Architectures — 6 citations into it

Whom Ezz El-Din Hemdan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Karen Simonyan
2. Kaiming He
3. Christian Szegedy
4. Marina Sokolova
5. Andrew Zisserman
6. Sergey Ioffe
7. X. Zhang
8. Mark Sandler
9. Shaoqing Ren
10. Alex Krizhevsky

Who trusts Ezz El-Din Hemdan overall

1. M. Ahsan
2. Suat Toraman
3. Ali Narin
4. Md. Zabirul Islam
5. T. Ozturk
6. Michael James Horry
7. Zahed Siddique
8. Mücahid Barstuğan
9. Talha Burak Alakus
10. Ceren Kaya

Papers from Ezz El-Din Hemdan's perspective

Ordered by how strongly the researchers Ezz El-Din Hemdan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images (2020) — 1,074 citations