Ammar Mohammed

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 41 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Natural Language Processing — 7 citations into it
• Signal Processing — 7 citations into it
• Evaluation & Benchmarks — 6 citations into it
• Information Systems — 5 citations into it

Whom Ammar Mohammed trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Yann LeCun
4. Alec Go
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yoshua Bengio
8. Bo Pang
9. Li Deng
10. Jia Deng

Papers from Ammar Mohammed's perspective

Ordered by how strongly the researchers Ammar Mohammed 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. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A comprehensive review on ensemble deep learning: Opportunities and challenges (2023) — 1,016 citations