Robert N. Weinreb

Journal of the American Medical Association (JAMA) · 2002–2018

A researcher in the Science corpus: 7 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Robert N. Weinreb trusts

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

  1. C. Burges (in Statistical Learning Theory)
  2. J. Platt (in Statistical Learning Theory)
  3. Emanuel Parzen (in Probabilistic & Bayesian Methods)

Papers from Robert N. Weinreb's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Going deeper with convolutions
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. The Nature of Statistical Learning Theory
  6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  7. Deep Learning
  8. A training algorithm for optimal margin classifiers
  9. ImageNet classification with deep convolutional neural networks
  10. The perceptron: a probabilistic model for information storage and organization in the brain.

Their papers