Shane T. Mueller

Artificial Intelligence · 2009–2019

A researcher in the Science corpus: 10 papers; trusts 70 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Shane T. Mueller trusts overall

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

  1. William R. Swartout
  2. Tania Lombrozo
  3. Gary Klein
  4. William J. Clancey
  5. John R. Anderson
  6. Robert R. Hoffman
  7. Todd Kulesza
  8. Joseph G. Johnson
  9. Tim Miller
  10. Ruth M. J. Byrne

Who trusts Shane T. Mueller overall

  1. Kejkaew Thanasuan
  2. Sina Mohseni
  3. Angela de Bruin
  4. Robert R. Hoffman
  5. Michael Chromik
  6. Waddah Saeed
  7. D. Gunning
  8. Niloofar Zarei
  9. Sarah Wiegreffe
  10. T. Bak

Papers from Shane T. Mueller's perspective

Ordered by how strongly the researchers Shane T. Mueller 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 classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers