Sara Ayoubi

Computer Networks and Communications · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 62 citations into it
• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Electrical and Electronic Engineering — 12 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Statistical Learning Theory — 9 citations into it
• Model Architectures — 9 citations into it
• Reinforcement Learning — 8 citations into it

Whom Sara Ayoubi trusts overall

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

1. Geoffrey E. Hinton
2. Jerome H. Friedman
3. Richard S. Sutton
4. Robert Tibshirani
5. David H. Hubel
6. Yoshua Bengio
7. Teuvo Kohonen
8. David E. Rumelhart
9. J. Ross Quinlan
10. Ruslan Salakhutdinov

Papers from Sara Ayoubi's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Human-level control through deep reinforcement learning
7. A Fast Learning Algorithm for Deep Belief Nets
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018) — 955 citations