Paul Pavlidis

Molecular Biology · 2000–2008

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Paul Pavlidis trusts overall

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

  1. Tommi S. Jaakkola
  2. Vladimir Naumovich Vapnik
  3. David Haussler
  4. Jason Aaron Edward Weston
  5. Terrence S. Furey
  6. Bernhard Schölkopf
  7. Sebastian Mika
  8. Nello Cristianini
  9. Michael S. Brown
  10. Dustin Boswell

Who trusts Paul Pavlidis overall

  1. Mehmet Gönen
  2. Sun-Yuan Kung
  3. André E. Minoche
  4. Murray P. Cox
  5. Javier M. Moguerza
  6. Ethem Alpaydin
  7. Minghua Deng
  8. Roded Sharan
  9. Homin K. Lee
  10. Gert R. G. Lanckriet

Papers from Paul Pavlidis's perspective

Ordered by how strongly the researchers Paul Pavlidis 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. GENERATIVE ADVERSARIAL NETS
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers