Anne-Laure Boulesteix

Overview

Best Publications

• Bias in random forest variable importance measures: Illustrations, sources and a solution

  Carolin Strobl;Anne-Laure Boulesteix;Achim Zeileis;Torsten Hothorn

  4020
  Citations

• Conditional variable importance for random forests

  Carolin Strobl;Anne Laure Boulesteix;Thomas Kneib;Thomas Augustin

  3591
  Citations

• Hyperparameters and tuning strategies for random forest

  Philipp Probst;Marvin N. Wright;Anne-Laure Boulesteix

  1401
  Citations

• Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics

  Anne-Laure Boulesteix;Silke Janitza;Jochen Kruppa;Inke R. König

  1033
  Citations

• Partial least squares: a versatile tool for the analysis of high-dimensional genomic data

  Anne-Laure Boulesteix;Korbinian Strimmer

  1008
  Citations

• Random forest versus logistic regression: a large-scale benchmark experiment.

  Raphael Couronné;Philipp Probst;Anne-Laure Boulesteix

  793
  Citations

• Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges

  Bernd Bischl;Martin Binder;Michel Lang;Tobias Pielok

  685
  Citations

• NetCoMi: network construction and comparison for microbiome data in R

  Stefanie Peschel;Christian L Müller;Erika von Mutius;Anne-Laure Boulesteix

  541
  Citations

• Tunability: Importance of Hyperparameters of Machine Learning Algorithms

  Philipp Probst;Bernd Bischl;Anne-Laure Boulesteix

  478
  Citations

• Unbiased Split Selection for Classification Trees based on the Gini Index

  Carolin Strobl;Anne-Laure Boulesteix;Thomas Augustin

  372
  Citations

• An AUC-based permutation variable importance measure for random forests

  Silke Janitza;Carolin Strobl;Anne-Laure Boulesteix

  300
  Citations

• PLS dimension reduction for classification with microarray data.

  Anne-Laure Boulesteix

  293
  Citations

• Regularized estimation of large-scale gene association networks using graphical Gaussian models

  Nicole Krämer;Juliane Schäfer;Juliane Schäfer;Anne-Laure Boulesteix

  280
  Citations

• Random forest for ordinal responses

  Silke Janitza;Gerhard Tutz;Anne-Laure Boulesteix

  233
  Citations

• Tunability: Importance of Hyperparameters of Machine Learning Algorithms

  Philipp Probst;Anne-Laure Boulesteix;Bernd Bischl

  231
  Citations

• Stability and aggregation of ranked gene lists

  Anne Laure Boulesteix;Martin Slawski

  231
  Citations

• A computationally fast variable importance test for random forests for high-dimensional data

  Silke Janitza;Ender Celik;Anne-Laure Boulesteix

  222
  Citations

• To Tune or Not to Tune the Number of Trees in Random Forest

  Philipp Probst;Anne-Laure Boulesteix

  187
  Citations

• Survival prediction using gene expression data: A review and comparison

  Wessel N. van Wieringen;David Kun;Regina Hampel;Anne-Laure Boulesteix

  184
  Citations

• Regularized estimation of large-scale gene association networks using graphical Gaussian models

  Nicole Kraemer;Juliane Schaefer;Anne-Laure Boulesteix

  162
  Citations

• Stability Investigations of Multivariable Regression Models Derived from Low- and High-Dimensional Data

  Willi Sauerbrei;Anne-Laure Boulesteix;Harald Binder

  161
  Citations

• A plea for neutral comparison studies in computational sciences.

  Anne-Laure Boulesteix;Sabine Lauer;Manuel J. A. Eugster;Manuel J. A. Eugster

  156
  Citations

• Evaluating Microarray-based Classifiers: An Overview:

  Anne-Laure Boulesteix;Carolin Strobl;Thomas Augustin;Martin Daumer

  153
  Citations