Kjell Johnson

Artificial Intelligence · 2013–2019

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Kjell Johnson trusts overall

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

  1. Robert Tibshirani
  2. Trevor J. Hastie
  3. Ron Kohavi
  4. Leo Breiman
  5. Radford M. Neal
  6. Jerome H. Friedman
  7. Eric R. Ziegel
  8. Wei-Yin Loh
  9. Chih-Jen Lin
  10. David Ruppert

Who trusts Kjell Johnson overall

  1. Abdulhakim M. Abdi
  2. Ryan A. Peterson
  3. Wengang Zhang
  4. Sarah J. MacEachern
  5. Hristos Tyralis
  6. Josua Krause
  7. Hanna Meyer
  8. Yan Wang
  9. M. DeRousseau
  10. F. Breiner

Papers from Kjell Johnson's perspective

Ordered by how strongly the researchers Kjell Johnson 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Neural Networks for Pattern Recognition
  7. Bagging Predictors
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. The Elements of Statistical Learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers