Mohamed H. Gad-Elrab

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mohamed H. Gad-Elrab trusts overall

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

  1. Ndapandula Nakashole
  2. J. Fleiss
  3. Heiko Paulheim
  4. Roberto Navigli
  5. Xiaoxin Yin
  6. Jenny Rose Finkel
  7. Maximilian Nickel
  8. Sören Auer
  9. Tom Michael Mitchell
  10. Simone Paolo Ponzetto

Who trusts Mohamed H. Gad-Elrab overall

  1. Neema Kotonya

Papers from Mohamed H. Gad-Elrab's perspective

Ordered by how strongly the researchers Mohamed H. Gad-Elrab 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. Long Short-Term Memory
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  5. ImageNet classification with deep convolutional neural networks
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers