Noura Limam

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 Noura Limam 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. J. Ross Quinlan
9. David E. Rumelhart
10. Ruslan Salakhutdinov

Papers from Noura Limam's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Human-level control through deep reinforcement learning
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

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