Aleks Jakulin

Artificial Intelligence · 2003–2008

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

Whom Aleks Jakulin trusts overall

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

  1. James O. Berger
  2. Vladimir Naumovich Vapni
  3. J. Platt
  4. Sunil Rao
  5. William J. McGill
  6. Ivan Bratko
  7. Wray L. Buntine
  8. Donald B. Rubin
  9. Andrew Gelman
  10. A. P. Dawid

Who trusts Aleks Jakulin overall

  1. Erik Strumbelj
  2. Andrew Gelman
  3. Andreas Henelius
  4. Igor Kononenko
  5. Wray L. Buntine
  6. Antti Ukkonen
  7. Giulia Vilone
  8. Zheng Zhao
  9. Or Biran
  10. Kai Puolamäki

Papers from Aleks Jakulin's perspective

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

  1. The Nature of Statistical Learning Theory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Advances in kernel methods: support vector learning
  8. Long Short-Term Memory
  9. Learning Multiple Layers of Features from Tiny Images
  10. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper

Their papers