Silvia Ferrari

Model Architectures · 2005

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Silvia Ferrari trusts overall

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

  1. Paul J. Werbos
  2. Martin A. Riedmiller
  3. Derrick Nguyen
  4. David E. Rumelhart
  5. Richard S. Sutton
  6. Bernard Widrow
  7. Geoffrey E. Hinton
  8. Andrew R. Barron
  9. C. Stone
  10. Ronald J. Williams

Who trusts Silvia Ferrari overall

  1. G. Huang
  2. Qin-Yu Zhu
  3. Chee Kheong Siew
  4. Cheng Zhang

Papers from Silvia Ferrari's perspective

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

  1. Learning representations by back-propagating errors
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Backpropagation Through Time: What It Does and How to Do It
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Universal approximation bounds for superpositions of a sigmoidal function
  8. ImageNet Large Scale Visual Recognition Challenge
  9. A direct adaptive method for faster backpropagation learning: the RPROP algorithm
  10. Long Short-Term Memory

Their papers