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ORCIDBenjamin Hofner
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2010 – 2019
- 2019
[j12]Giuseppe Casalicchio
, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl:
OpenML: An R package to connect to the machine learning platform OpenML. Comput. Stat. 34(3): 977-991 (2019)- 2018
- [j11]Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner:
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. Stat. Comput. 28(3): 673-687 (2018) - 2017
- [j10]Olaf Gefeller, Benjamin Hofner, Andreas Mayr, Elisabeth Waldmann:
Predictive Modelling Based on Statistical Learning in Biomedicine. Comput. Math. Methods Medicine 2017: 4041736:1-4041736:3 (2017) - [j9]Andreas Mayr, Benjamin Hofner, Elisabeth Waldmann, Tobias Hepp, Sebastian Meyer, Olaf Gefeller:
An Update on Statistical Boosting in Biomedicine. Comput. Math. Methods Medicine 2017: 6083072:1-6083072:12 (2017) - [j8]Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang-Claude, Heinz-Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner:
Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. Comput. Math. Methods Medicine 2017: 6742763:1-6742763:17 (2017) - [i1]Giuseppe Casalicchio, Jakob Bossek, Michel Lang, Dominik Kirchhoff, Pascal Kerschke, Benjamin Hofner, Heidi Seibold, Joaquin Vanschoren, Bernd Bischl:
OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML. CoRR abs/1701.01293 (2017) - 2016
- [j7]Andreas Mayr, Benjamin Hofner, Matthias Schmid:
Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection. BMC Bioinform. 17: 288 (2016) - [j6]Benjamin Hofner, Thomas Kneib, Torsten Hothorn:
A unified framework of constrained regression. Stat. Comput. 26(1-2): 1-14 (2016) - 2015
- [j5]Benjamin Hofner, Luigi Boccuto, Markus Göker:
Controlling false discoveries in high-dimensional situations: boosting with stability selection. BMC Bioinform. 16: 144:1-144:17 (2015) - 2014
- [j4]Benjamin Hofner, Andreas Mayr, Nikolay Robinzonov, Matthias Schmid:
Model-based boosting in R: a hands-on tutorial using the R package mboost. Comput. Stat. 29(1): 3-35 (2014) - 2013
- [j3]Lea A. I. Vaas, Johannes Sikorski, Benjamin Hofner, Anne Fiebig, Nora Buddruhs, Hans-Peter Klenk, Markus Göker:
opm: an R package for analysing OmniLog® phenotype microarray data. Bioinform. 29(14): 1823-1824 (2013) - [j2]Benjamin Hofner, Torsten Hothorn, Thomas Kneib:
Variable selection and model choice in structured survival models. Comput. Stat. 28(3): 1079-1101 (2013) - 2010
- [j1]Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner:
Model-based Boosting 2.0. J. Mach. Learn. Res. 11: 2109-2113 (2010)
Coauthor Index
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