Medhat A. Moussa

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 150 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Building and Construction — 14 citations into it
• Model Architectures — 13 citations into it
• Control and Systems Engineering — 11 citations into it
• Reinforcement Learning — 11 citations into it
• Optimization & Training — 10 citations into it

Whom Medhat A. Moussa trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Ilya Sutskever
6. Sepp Hochreiter
7. Oriol Vinyals
8. Ross B. Girshick
9. J. Urgen Schmidhuber
10. Diederik P. Kingma

Papers from Medhat A. Moussa's perspective

Ordered by how strongly the researchers Medhat A. Moussa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Batch Normalization is a Cause of Adversarial Vulnerability (2019) — 85 citations
• Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2020) — 328 citations