Ali Bou Nassif

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ali Bou Nassif trusts overall

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

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

Papers from Ali Bou Nassif's perspective

Ordered by how strongly the researchers Ali Bou Nassif 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. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers