David William Aha

Artificial Intelligence · 1991–2019

A researcher in the Science corpus: 8 papers; trusts 76 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom David William Aha trusts overall

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

  1. J. Ross Quinlan
  2. Douglas L. Medin
  3. Robert R. Hoffman
  4. Thomas M. Cover
  5. Agnar Aamodt
  6. D. L. Hintzman
  7. Christopher G. Atkeson
  8. Marguerite M. Schaffer
  9. Yoshua Bengio
  10. Amos Tversky

Who trusts David William Aha overall

  1. Iqbal H. Sarker
  2. Gabriel Synnaeve
  3. Ludmila I. Kuncheva
  4. Saso Dzeroski
  5. Octavio Loyola-González
  6. M. Maloof
  7. Gerhard Widmer
  8. J. Kolter
  9. Alexey Tsymbal
  10. David Churchill

Papers from David William Aha's perspective

Ordered by how strongly the researchers David William Aha 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. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers