Conditional variable importance for random forests
2008 · BMC Bioinformatics · 3,160 citations
https://doi.org/10.1186/1471-2105-9-307
A
Anne‐Laure Boulesteix
Claim or correct this author profile
Claim this profile or suggest corrections to the name, affiliation, bio, photo, or paper titles. Approved changes appear as verified CitedEvidence overlays.
259
Papers
21.5K
Citations
62
h-index
133
i10-index
Anne‐Laure Boulesteix is an academic researcher from Zimmer Biomet (Netherlands). The author has contributed to research in topics: Gene expression and cancer classification & Bioinformatics and Genomic Networks & Statistical Methods and Inference. The author has an h-index of 62, co-authored 221 publications.
ORCID: 0000-0002-2729-0947Papers by this author
worksTRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
2024 · BMJ · 1,560 citations
https://doi.org/10.1136/bmj-2023-078378
Random forest versus logistic regression: a large-scale benchmark experiment
2018 · BMC Bioinformatics · 824 citations
https://doi.org/10.1186/s12859-018-2264-5
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
2023 · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 726 citations
https://doi.org/10.1002/widm.1484
NetCoMi: network construction and comparison for microbiome data in R
2020 · Briefings in Bioinformatics · 524 citations
https://doi.org/10.1093/bib/bbaa290
AUC-RF: A New Strategy for Genomic Profiling with Random Forest
2011 · Human Heredity · 143 citations
https://doi.org/10.1159/000330778
Research topics
topicsChat about Author
Papers
Chat
Click to start Chat