 | 2008 |
| 10 |  | Matthias Schmid,
Torsten Hothorn:
Flexible boosting of accelerated failure time models.
BMC Bioinformatics 9: (2008) |
| 9 |  | Matthias Schmid,
Torsten Hothorn:
Boosting additive models using component-wise P-Splines.
Computational Statistics & Data Analysis 53(2): 298-311 (2008) |
| 2007 |
| 8 |  | Carolin Strobl,
Anne-Laure Boulesteix,
Achim Zeileis,
Torsten Hothorn:
Bias in random forest variable importance measures: Illustrations, sources and a solution.
BMC Bioinformatics 8: (2007) |
| 2006 |
| 7 |  | Torsten Hothorn,
Peter Bühlmann:
Model-based boosting in high dimensions.
Bioinformatics 22(22): 2828-2829 (2006) |
| 2005 |
| 6 |  | A. Peters,
Torsten Hothorn,
Berthold Lausen:
Generalised indirect classifiers.
Computational Statistics & Data Analysis 49(3): 849-861 (2005) |
| 5 |  | Torsten Hothorn,
Berthold Lausen:
Bundling classifiers by bagging trees.
Computational Statistics & Data Analysis 49(4): 1068-1078 (2005) |
| 2003 |
| 4 |  | Radim Chrástek,
Matthias Wolf,
Klaus Donath,
Heinrich Niemann,
Torsten Hothorn,
Berthold Lausen,
Robert Lämmer,
Christian Y. Mardin,
Georg Michelson:
Automated Segmentation of the Optic Nerve Head for Glaucoma Diagnosis.
Bildverarbeitung für die Medizin 2003: 338-342 |
| 3 |  | Torsten Hothorn,
Berthold Lausen:
Bagging tree classifiers for laser scanning images: a data- and simulation-based strategy.
Artificial Intelligence in Medicine 27(1): 65-79 (2003) |
| 2 |  | Torsten Hothorn,
Berthold Lausen:
On the exact distribution of maximally selected rank statistics.
Computational Statistics & Data Analysis 43(2): 121-137 (2003) |
| 1 |  | Torsten Hothorn,
Berthold Lausen:
Double-bagging: combining classifiers by bootstrap aggregation.
Pattern Recognition 36(6): 1303-1309 (2003) |