Edwin David Lughofer

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 4 papers; trusts 40 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Edwin David Lughofer trusts overall

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

  1. Nikola K. Kasabov
  2. Shiqian Wu
  3. M. Stone
  4. Plamen Parvanov Angelov
  5. Meng Joo Er
  6. David Ruppert
  7. Hai-Jun Rong
  8. Dimitar Filev
  9. Jorge Casillas
  10. Alex Krizhevsky

Who trusts Edwin David Lughofer overall

  1. Jaka Demsar
  2. Alexander Lavin
  3. Jian Liang
  4. Xingchao Peng
  5. Devamanyu Hazarika

Papers from Edwin David Lughofer's perspective

Ordered by how strongly the researchers Edwin David Lughofer 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers