Elizabeth Pellicano

Cognitive Neuroscience · 2012–2018

A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Elizabeth Pellicano trusts overall

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

  1. Daniel J. Kersten
  2. David C. Knill
  3. Alan L. Yuille
  4. Philip David Zelazo
  5. Alexandre Pouget
  6. N. Garon
  7. Clancy Blair
  8. Nancy Bagatell
  9. Pascal Mamassian
  10. Catherine Lord

Who trusts Elizabeth Pellicano overall

  1. Rebecca P. Lawson
  2. Karl J. Friston
  3. David J. Heeger
  4. Nick Chown
  5. Geraint E. Rees
  6. Sarah Parsons
  7. Anil K. Seth
  8. Birte U. Forstmann
  9. Sander Van de Cruys
  10. M. Botha

Papers from Elizabeth Pellicano's perspective

Ordered by how strongly the researchers Elizabeth Pellicano 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers