James S. Cope

Expert systems with applications · 2012

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom James S. Cope trusts overall

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

  1. Haibin Ling
  2. Lexiang Ye
  3. Serge J. Belongie
  4. Jixiang Du
  5. Jan Flusser
  6. J. C. Neto
  7. Radford M. Neal
  8. Jitendra Malik
  9. Eamonn J. Keogh
  10. David W. Jacobs

Who trusts James S. Cope overall

  1. Jana Wäldchen
  2. Patrick Mäder

Papers from James S. Cope's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers