Eugene Tuv

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom Eugene Tuv trusts overall

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

  1. Leo Breiman
  2. Jerome H. Friedman
  3. Niko Speybroeck
  4. Eamonn J. Keogh
  5. Yoav Freund
  6. Chotirat (Ann) Ratanamahatana
  7. Trevor J. Hastie
  8. Daphne Koller
  9. Lei Yu
  10. Yali Amit

Who trusts Eugene Tuv overall

  1. Isabelle M Guyon
  2. Miron Bartosz Kursa
  3. Gilles Louppe
  4. Houtao Deng
  5. Marc-André Zöller
  6. Vipin Kumar
  7. Arjun Mukherjee
  8. Verónica Bolón-Canedo
  9. Anthony J. Bagnall
  10. Jason Lines

Papers from Eugene Tuv's perspective

Ordered by how strongly the researchers Eugene Tuv 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. ImageNet: A large-scale hierarchical image database
  6. The Nature of Statistical Learning Theory
  7. Bagging Predictors
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Random Forests

Their papers