Carolin Strobl

14 papers Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2020 J jnl
Conditional permutation importance revisited.
BMC Bioinform.
Dries Debeer, Carolin Strobl
2015 J jnl
Letter to the Editor: On the term 'interaction' and related phrases in the literature on Random Forests.
Briefings Bioinform.
Anne-Laure Boulesteix, Silke Janitza, Alexander Hapfelmeier, Kristel Van Steen, Carolin Strobl
2014 J jnl
(Psycho-)analysis of benchmark experiments: A formal framework for investigating the relationship between data sets and learning algorithms.
Comput. Stat. Data Anal.
Manuel J. A. Eugster, Friedrich Leisch, Carolin Strobl
2014 J jnl
A new variable importance measure for random forests with missing data.
Stat. Comput.
Alexander Hapfelmeier, Torsten Hothorn, Kurt Ulm, Carolin Strobl
2013 J jnl
An AUC-based permutation variable importance measure for random forests.
BMC Bioinform.
Silke Janitza, Carolin Strobl, Anne-Laure Boulesteix
2012 J jnl
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations.
Briefings Bioinform.
Anne-Laure Boulesteix, Andreas Bender, Justo Lorenzo Bermejo, Carolin Strobl
2010 J jnl
The behaviour of random forest permutation-based variable importance measures under predictor correlation.
BMC Bioinform.
Kristin K. Nicodemus, James D. Malley, Carolin Strobl, Andreas Ziegler
2009 J jnl
Party on!
R J.
Carolin Strobl, Torsten Hothorn, Achim Zeileis
2008 J jnl
Conditional variable importance for random forests.
BMC Bioinform.
Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
2008 — —
Statistical issues in machine learning: towards reliable split selection and variable importance measures.
Carolin Strobl
2007 J jnl
Bias in random forest variable importance measures: Illustrations, sources and a solution.
BMC Bioinform.
Carolin Strobl, Anne-Laure Boulesteix, Achim Zeileis, Torsten Hothorn
2007 J jnl
Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints.
Comput. Stat. Data Anal.
Anne-Laure Boulesteix, Carolin Strobl
2007 J jnl
Unbiased split selection for classification trees based on the Gini Index.
Comput. Stat. Data Anal.
Carolin Strobl, Anne-Laure Boulesteix, Thomas Augustin
2005 — conf
Variable Selection in Classification Trees Based on Imprecise Probabilities.
ISIPTA
Carolin Strobl