Anne‐Laure Boulesteix

Author

Ludwig-Maximilians-Universität München ORCID

Also Known As

A Boulesteix, A-L Boulesteix, A. BOULESTEIX, A. Boulesteix, A. L. Boulesteix, A.-L. Boulesteix, A.L. Boulesteix, AL Boulesteix, Anna-Laure Boulesteix, Anne Laure Boulesteix

259

Publications

20.9K

Citations

H-Index

156

Concepts

All Affiliations

Ludwig-Maximilians-Universität München Zimmer Biomet (Germany)Technical University of Munich LMU Klinikum Zimmer Biomet (Netherlands)

About

Anne‐Laure Boulesteix is an author at Ludwig-Maximilians-Universität München specializing in engineering, statistics, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	25	33	4.5K
2	Management	6	6	331
3	Education	3	3	114
4	Health Sciences	2	2	181
5	Business	1	1	55

Anne‐Laure Boulesteix

113

Publications

18.1K

Citations

H-Index

Page 1

	Year	Citations
Bias in random forest variable importance measures: Illustrations, sources and a solution Carolin Strobl, Anne‐Laure Boulesteix, Achim Zeileis, BMC Bioinformatics	2007	3.5K
Conditional variable importance for random forests Carolin Strobl, Anne‐Laure Boulesteix, Thomas Kneib, BMC Bioinformatics	2008	3.2K
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods Gary S. Collins, Karel G.M. Moons, Paula Dhiman, BMJ Artificial IntelligenceIntelligent DiagnosticsPrognosisDiagnosisTripod 2015	2024	1.3K
Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics Anne‐Laure Boulesteix, Silke Janitza, Jochen Kruppa, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery EngineeringForest BiometricsPractical GuidanceForestryFeature Selection	2012	891
Random forest versus logistic regression: a large-scale benchmark experiment Raphaël Couronné, Philipp Probst, Anne‐Laure Boulesteix BMC Bioinformatics	2018	791
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges Bernd Bischl, Martin Binder, Michel Lang, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery Search OptimizationHyperparameter OptimizationHyperparameter EstimationEngineeringMachine Learning	2023	698
Tunability: Importance of Hyperparameters of Machine Learning Algorithms Philipp Probst, Bernd Bischl, Anne‐Laure Boulesteix arXiv (Cornell University) Artificial IntelligenceHyperparameter EstimationEngineeringMachine LearningData Science	2018	571
NetCoMi: network construction and comparison for microbiome data in R Stefanie Peschel, Christian L. Müller, Erika von Mutius, Briefings in Bioinformatics	2020	524
Unbiased split selection for classification trees based on the Gini Index Carolin Strobl, Anne‐Laure Boulesteix, Thomas Augustin Computational Statistics & Data Analysis Data ClassificationClassification MethodClassification TreesEngineeringMachine Learning	2006	304
An AUC-based permutation variable importance measure for random forests Silke Janitza, Carolin Strobl, Anne‐Laure Boulesteix BMC Bioinformatics	2013	252

Page 1