C. Deygout

2010

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

Whom C. Deygout trusts overall

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

  1. Andy Liaw
  2. G. De’ath
  3. Michael J. North
  4. Trevor J. Hastie
  5. O. Duriez
  6. Katharina E. Fabricius
  7. Matthew C. Wiener
  8. Leo Breiman
  9. Nicholson T. Collier

Papers from C. Deygout's perspective

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

  1. Random Forests
  2. Experiences creating three implementations of the repast agent modeling toolkit (TOMC)
  3. CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSIS
  4. When to use public information for breeding habitat selection? The role of environmental predictability and density dependence
  5. What decision rules might pink-footed geese use to depart on migration? An individual-based model
  6. Classification and Regression by randomForest
  7. Public Information: From Nosy Neighbors to Cultural Evolution (Science)
  8. Information and its use by animals in evolutionary ecology. (Trends in Ecology & Evolution)
  9. Gentleman R: R: A language for data analysis and graphics
  10. Bagging Predictors

Their papers