Christine Moos

Mechanical Engineering · 2016

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Christine Moos trusts overall

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

  1. M. Schwarz
  2. Ron Kohavi
  3. Alexander Brenning
  4. Trevor J. Hastie
  5. Torsten Hothorn
  6. J. Leathwick
  7. Carolin Strobl
  8. David W. Hosmer Jr.
  9. Fausto Guzzetti
  10. Leo Breiman

Papers from Christine Moos's perspective

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

  1. Random Forests
  2. A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
  3. Applied Logistic Regression: Hosmer/Applied Logistic Regression
  4. Unbiased Recursive Partitioning: A Conditional Inference Framework
  5. Spatial prediction models for landslide hazards: review, comparison and evaluation
  6. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy
  7. Quantifying lateral root reinforcement in steep slopes – from a bundle of roots to tree stands
  8. Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions
  9. An Introduction to Recursive Partitioning: Rationale, Application and Characteristics of Classification and Regression Trees, Bagging and Random Forests (Psychological methods)
  10. Root-soil mechanical interactions during pullout and failure of root bundles

Their papers