Lieven Billiet

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lieven Billiet trusts overall

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

  1. Vladimir Naumovich Vapni
  2. Robert Tibshirani
  3. Olivier Chapelle
  4. J. Ross Quinlan
  5. David D. Lewis
  6. Gitta Kutyniok
  7. Jaka Demsar
  8. Hui Zou
  9. Trevor J. Hastie
  10. Quan Zhou

Who trusts Lieven Billiet overall

  1. Berk Ustun
  2. Cynthia Rudin
  3. S. Van Huffel
  4. Vanya Van Belle

Papers from Lieven Billiet's perspective

Ordered by how strongly the researchers Lieven Billiet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Regression Shrinkage and Selection via the Lasso
  2. The Nature of Statistical Learning Theory
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Addendum: Regularization and variable selection via the elastic net
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Neural Networks for Pattern Recognition
  8. The Elements of Statistical Learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers