Jean-Pierre Renaud

Environmental Engineering · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Pierre Renaud trusts overall

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

  1. Jerome H. Friedman
  2. Erik Næsset
  3. Jane Elith
  4. David Ruppert
  5. Greg Ridgeway
  6. Niko Speybroeck
  7. Nathalie Bréda

Who trusts Jean-Pierre Renaud overall

  1. Allison L. Perrigo

Papers from Jean-Pierre Renaud's perspective

Ordered by how strongly the researchers Jean-Pierre Renaud trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Greedy function approximation: A gradient boosting machine.
  2. Stochastic gradient boosting
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  5. Why do we still use stepwise modelling in ecology and behaviour? (Journal of Animal Ecology)
  6. A working guide to boosted regression trees.
  7. Error propagation and scaling for tropical forest biomass estimates. (Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
  8. Practical large-scale forest stand inventory using a small-footprint airborne scanning laser
  9. Predictive Quality of Pedotransfer Functions for Estimating Bulk Density of Forest Soils
  10. An evaluation of different diameter diversity indices based on criteria related to forest management planning

Their papers