Mohammad Azzeh

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 108 citations into it
• Signal Processing — 99 citations into it
• Model Architectures — 12 citations into it
• Optimization & Training — 5 citations into it

Whom Mohammad Azzeh trusts overall

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

1. Li Deng
2. Geoffrey E. Hinton
3. Dong Yu
4. Yoshua Bengio
5. Abdel-rahman Mohamed
6. James Martens
7. Richard S. Sutton
8. Ilya Sutskever
9. Alex Graves
10. Yann LeCun

Papers from Mohammad Azzeh's perspective

Ordered by how strongly the researchers Mohammad Azzeh 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Deep Architectures for AI

Their papers

• Speech Recognition Using Deep Neural Networks: A Systematic Review (2019) — 947 citations