Brendan Juba

Artificial Intelligence · with Le · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brendan Juba trusts overall

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

  1. Martin H. Anthony
  2. Luc Devroye
  3. Peter L. Bartlett
  4. Corinna Cortes
  5. Gary M. Weiss
  6. László Györfi
  7. Vladimir Naumovich Vapnik
  8. Leslie G. Valiant
  9. Gábor Lugosi
  10. Mehryar Mohri

Papers from Brendan Juba's perspective

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

  1. A Probabilistic Theory of Pattern Recognition
  2. Neural Network Learning: Theoretical Foundations
  3. Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction (Journal of Artificial Intelligence Research)
  4. A general lower bound on the number of examples needed for learning
  5. AUC Optimization vs. Error Rate Minimization
  6. The Nature of Statistical Learning Theory
  7. Applying Support Vector Machines to Imbalanced Datasets (European Conference on Machine Learning)
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. ImageNet classification with deep convolutional neural networks
  10. Gradient-based learning applied to document recognition

Their papers