David Martens

Artificial Intelligence · 2007–2019

A researcher in the Science corpus: 15 papers; trusts 94 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

Whom David Martens trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Bart Baesens
  3. J. Ross Quinlan
  4. Tony Van Gestel
  5. Foster J. Provost
  6. Thorsten Joachims
  7. Leo Breiman
  8. Rakesh Agrawal
  9. Bernard Walter Silverman
  10. Thomas G. Dietterich

Who trusts David Martens overall

  1. Emilio Carrizosa
  2. Nadia Burkart
  3. Chris Russell
  4. Cynthia Rudin
  5. Foster J. Provost
  6. Julie Moeyersoms
  7. Wouter Verbeke
  8. Berk Ustun
  9. Dolores Romero Morales
  10. Giulia Vilone

Papers from David Martens's perspective

Ordered by how strongly the researchers David Martens 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. The Nature of Statistical Learning Theory
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Et al

Their papers