Mohamed Ghaly

Artificial Intelligence · with Al-Fuqaha · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Safety, Robustness & Interpretability — 34 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom Mohamed Ghaly trusts overall

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

1. Wojciech Samek
2. Matthew D. Zeiler
3. Grgoire Montavon
4. Geoffrey E. Hinton
5. Adnan Qayyum
6. Alex Krizhevsky

Papers from Mohamed Ghaly's perspective

Ordered by how strongly the researchers Mohamed Ghaly trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Visualizing and Understanding Convolutional Networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Intriguing properties of neural networks
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2021) — 320 citations