Deborah M. Broadbent

2016

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

Whom Deborah M. Broadbent trusts overall

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

  1. Kunihiko Fukushima

Papers from Deborah M. Broadbent's perspective

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

  1. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
  2. Dropout: a simple way to prevent neural networks from overfitting
  3. Automatic detection of diabetic retinopathy using an artificial neural network: a screening tool.
  4. Computer-aided diagnosis of diabetic retinopathy: A review (Comput. Biol. Medicine)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet classification with deep convolutional neural networks
  10. A feedforward architecture accounts for rapid categorization

Their papers