Hassan Ismail Fawaz

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 50 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Ismail Fawaz trusts overall

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

  1. Yoshua Bengio
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yann LeCun
  6. Alex Krizhevsky
  7. Radford M. Neal
  8. Ilya Sutskever
  9. Anthony J. Bagnall
  10. Christian Szegedy

Who trusts Hassan Ismail Fawaz overall

  1. Angus Dempster
  2. Geoffrey I. Webb
  3. Daniel F. Schmidt
  4. Sana Tonekaboni
  5. Tian Zhou
  6. Mononito Goswami
  7. Songqiao Han
  8. Zheng Li
  9. George Zerveas
  10. Yu-xin Zhang

Papers from Hassan Ismail Fawaz's perspective

Ordered by how strongly the researchers Hassan Ismail Fawaz 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers