Mohamed Esmail Karar

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; #15,497 of 35,345 by trust here, #17,776 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #9,908 of 21,575 by trust here, #11,950 by citations
• Model Architectures — 6 citations into it

Whom Mohamed Esmail Karar 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

Who trusts Mohamed Esmail Karar overall

1. M. Ahsan

Papers from Mohamed Esmail Karar's perspective

Ordered by how strongly the researchers Mohamed Esmail Karar 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Densely Connected Convolutional Networks
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

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