Sophia Ananiadou

Artificial Intelligence · 2000–2022

A researcher in the Science corpus: 12 papers; trusts 41 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Sophia Ananiadou trusts overall

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

  1. Jin-Dong Kim
  2. Julia Handl
  3. Toshihide Ono
  4. Irena Spasic
  5. Lawrence R. Rabiner
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Tomoko Ohta
  9. Richard Socher
  10. Olivier Bodenreider

Who trusts Sophia Ananiadou overall

  1. Benjamin K. Bergen
  2. Niina Ning Zhang
  3. Michael T. Ullman
  4. Pierre Zweigenbaum
  5. J. Bobaljik
  6. Jin-Dong Kim
  7. Martin Haspelmath
  8. Ivan A. Sag
  9. Dina Demner-Fushman
  10. Michael Krauthammer

Papers from Sophia Ananiadou's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers