James M. Brown

Artificial Intelligence · 2018

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

Subfields

Whom James M. Brown trusts

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

  1. Hang Su (in Artificial Intelligence)

Papers from James M. Brown's perspective

Ordered by how strongly the researchers James M. Brown 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. Large Scale Distributed Deep Networks
  4. Understanding the difficulty of training deep feedforward neural networks
  5. A Survey on Transfer Learning
  6. Deep Learning
  7. ImageNet classification with deep convolutional neural networks
  8. Multi-task transfer learning deep convolutional neural network: Application to computer-aided diagnosis of breast cancer on mammograms
  9. Neural Network Ensembles
  10. Deep image mining for diabetic retinopathy screening

Their papers