Michael H. Goldbaum

IEEE Transactions on Medical Imaging · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 3 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Whom Michael H. Goldbaum trusts overall

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

  1. Ramesh C. Jain
  2. C. Burges
  3. J. Platt

Who trusts Michael H. Goldbaum overall

  1. Zengqiang Yan
  2. Meindert Niemeijer
  3. Elisa Ricci
  4. Paweł Liskowski
  5. M. Sofka
  6. Rüdiger Bock
  7. Xiaoyi Jiang
  8. Khalid El Asnaoui
  9. Muhammad Moazam Fraz
  10. José Ignacio Orlando

Papers from Michael H. Goldbaum's perspective

Ordered by how strongly the researchers Michael H. Goldbaum 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. Going deeper with convolutions
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet classification with deep convolutional neural networks
  6. The Nature of Statistical Learning Theory
  7. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  8. Deep Learning
  9. Gradient-based learning applied to document recognition
  10. Learning Multiple Layers of Features from Tiny Images

Their papers