Hassan Saif

Artificial Intelligence · 2012–2016

A researcher in the Science corpus: 6 papers; trusts 66 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Hassan Saif trusts overall

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

  1. Alec Go
  2. Peter D. Turney
  3. Michael Speriosu
  4. Klaus Krippendorff
  5. Alexander Pak
  6. Bo Pang
  7. Mike Thelwall
  8. David A. Shamma
  9. Nicholas A. Diakopoulos
  10. Xia Hu

Who trusts Hassan Saif overall

  1. Anastasia Giahanou
  2. Fabio A. Crestani
  3. Jianqiang Zhao
  4. Miriam Fernández
  5. Yulan He
  6. Hongwei Wang
  7. Harith Alani
  8. Fatemeh Hemmatian
  9. Rui Xia
  10. Manoochehr Ghiassi

Papers from Hassan Saif's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers