Paul Sabatier

International Conference on Web and Social Media · 2007

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Paul Sabatier trusts overall

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

  1. Peter D. Turney
  2. Hong Yu
  3. Soo-Min Kim
  4. Bo Pang
  5. Theresa Wilson
  6. Vasileios Hatzivassiloglou
  7. Eduard H. Hovy
  8. Janyce Wiebe
  9. Gilad Mishne
  10. Lillian Lee

Who trusts Paul Sabatier overall

  1. Kumar Ravi
  2. Vadlamani Ravi
  3. Maite Taboada
  4. Bo Pang
  5. Samuel Brody
  6. Hatice Gunes
  7. Ali Yadollahi
  8. Rui Xia
  9. Olga Kolchyna

Papers from Paul Sabatier's perspective

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

  1. Thumbs up? Sentiment Classification using Machine Learning Techniques
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews

Their papers