Shaker El-Sappagh

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Shaker El-Sappagh trusts overall

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

  1. William W. Cohen
  2. Sebastian Raschka
  3. Scott M. Lundberg
  4. Kaj Blennow
  5. Marco Tulio Ribeiro
  6. Jenna Burrell
  7. M. Delgado
  8. Riccardo Guidotti
  9. J. Ross Quinlan
  10. Su-In Lee

Papers from Shaker El-Sappagh's perspective

Ordered by how strongly the researchers Shaker El-Sappagh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers