Philipp Probst

According to our database1, Philipp Probst authored at least 11 papers between 2012 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Large-scale benchmark study of survival prediction methods using multi-omics data.
Briefings Bioinform., 2021

Learning multiple defaults for machine learning algorithms.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2019
Hyperparameters, tuning and meta-learning for random forest and other machine learning algorithms.
PhD thesis, 2019

Hyperparameters and tuning strategies for random forest.
WIREs Data Mining Knowl. Discov., 2019

Tunability: Importance of Hyperparameters of Machine Learning Algorithms.
J. Mach. Learn. Res., 2019

2018
Automatic Exploration of Machine Learning Experiments on OpenML.
CoRR, 2018

Random forest versus logistic regression: a large-scale benchmark experiment.
BMC Bioinform., 2018

2017
Multilabel Classification with R Package mlr.
R J., 2017

To Tune or Not to Tune the Number of Trees in Random Forest.
J. Mach. Learn. Res., 2017

2016
mlr Tutorial.
CoRR, 2016

2012
Object circles: modeling physical objects as social relationships.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, 2012


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