Josh Blackman

PLoS ONE · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Josh Blackman trusts overall

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

  1. Niko Speybroeck

Papers from Josh Blackman's perspective

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

  1. Random Forests
  2. Online Learning and Online Convex Optimization
  3. Classification and regression trees
  4. An empirical comparison of supervised learning algorithms
  5. Predicting judicial decisions of the European Court of Human Rights: a Natural Language Processing perspective (PeerJ Computer Science)
  6. On-Line Learning in Neural Networks
  7. Understanding Random Forests: From Theory to Practice
  8. Bagging Predictors
  9. Regression Shrinkage and Selection via the Lasso
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers