Hussein T. Al-Natsheh

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hussein T. Al-Natsheh trusts overall

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

  1. Quoc V. Le
  2. Jeffrey Pennington
  3. Rami Al-Rfou
  4. Tomas Mikolov
  5. L. Eon Bottou
  6. Richard Socher
  7. Eneko Agirre
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Christopher D. Manning

Who trusts Hussein T. Al-Natsheh overall

  1. Daniel Matthew Cer
  2. Jianlin Su
  3. Mona T. Diab

Papers from Hussein T. Al-Natsheh's perspective

Ordered by how strongly the researchers Hussein T. Al-Natsheh 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GloVe: Global Vectors for Word Representation
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers