Lidia Auret

Evaluation & Benchmarks · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Evaluation & Benchmarks — 8 citations into it
• Statistics and Probability — 8 citations into it
• Artificial Intelligence — 7 citations into it; #19,429 of 35,345 by trust here, #25,040 by citations

Whom Lidia Auret trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. Thomas G. Dietterich
4. Niko Speybroeck
5. Andy Liaw
6. Kellie J. Archer
7. Trevor J. Hastie

Who trusts Lidia Auret overall

1. Scott M. Lundberg
2. Gabriel Erion-Barner
3. Gérard Biau
4. Baptiste Gregorutti
5. Su-In Lee
6. Vaishak Belle
7. Erwan Scornet

Papers from Lidia Auret's perspective

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

1. Bagging Predictors
2. The Nature of Statistical Learning Theory
3. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
4. Random Forests
5. The Elements of Statistical Learning
6. Heuristics of instability and stabilization in model selection
7. Shape Quantization and Recognition with Randomized Trees
8. Bias, Variance , And Arcing Classifiers
9. Regression Shrinkage and Selection via the Lasso
10. Pattern Recognition and Neural Networks

Their papers

• Interpretation of nonlinear relationships between process variables by use of random forests (2012) — 237 citations
• Empirical comparison of tree ensemble variable importance measures (2011) — 107 citations