Benjamin Hofner

Orcid: 0000-0003-2810-3186

According to our database1, Benjamin Hofner authored at least 13 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2019
OpenML: An R package to connect to the machine learning platform OpenML.
Comput. Stat., 2019

2018
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates.
Stat. Comput., 2018

2017
OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML.
CoRR, 2017

An Update on Statistical Boosting in Biomedicine.
Comput. Math. Methods Medicine, 2017

Predictive Modelling Based on Statistical Learning in Biomedicine.
Comput. Math. Methods Medicine, 2017

Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies.
Comput. Math. Methods Medicine, 2017

2016
A unified framework of constrained regression.
Stat. Comput., 2016

Boosting the discriminatory power of sparse survival models via optimization of the concordance index and stability selection.
BMC Bioinform., 2016

2015
Controlling false discoveries in high-dimensional situations: boosting with stability selection.
BMC Bioinform., 2015

2014
Model-based boosting in R: a hands-on tutorial using the R package mboost.
Comput. Stat., 2014

2013
Variable selection and model choice in structured survival models.
Comput. Stat., 2013

opm: an R package for analysing OmniLog<sup>®</sup> phenotype microarray data.
Bioinform., 2013

2010
Model-based Boosting 2.0.
J. Mach. Learn. Res., 2010


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