Janek Thomas
Janek Thomas
Fraunhofer Institute for Integrated Circuits IIS
Bestätigte E-Mail-Adresse bei iis.fraunhofer.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
mlrMBO: A modular framework for model-based optimization of expensive black-box functions
B Bischl, J Richter, J Bossek, D Horn, J Thomas, M Lang
arXiv preprint arXiv:1703.03373, 2017
702017
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates
J Thomas, A Mayr, B Bischl, M Schmid, A Smith, B Hofner
Statistics and Computing 28 (3), 673-687, 2018
282018
An Open Source AutoML Benchmark
P Gijsbers, E LeDell, J Thomas, S Poirier, B Bischl, J Vanschoren
ICML AutoML Workshop, 2019
192019
FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking
M Rietzler, F Geiselhart, J Thomas, E Rukzio
Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive …, 2016
122016
Probing for sparse and fast variable selection with model-based boosting
J Thomas, T Hepp, A Mayr, B Bischl
Computational and Mathematical Methods in Medicine 2017, 8 pages, 2017
82017
Automatic Gradient Boosting
J Thomas, S Coors, B Bischl
ICML AutoML Workshop, 2018
62018
Rambo: Resource-aware model-based optimization with scheduling for heterogeneous runtimes and a comparison with asynchronous model-based optimization
H Kotthaus, J Richter, A Lang, J Thomas, B Bischl, P Marwedel, ...
International Conference on Learning and Intelligent Optimization, 180-195, 2017
52017
Automatic Exploration of Machine Learning Experiments on OpenML
D Kühn, P Probst, J Thomas, B Bischl
arXiv preprint arXiv:1806.10961, 2018
42018
Multi-objective automatic machine learning with autoxgboostmc
F Pfisterer, S Coors, J Thomas, B Bischl
arXiv preprint arXiv:1908.10796, 2019
32019
mlr Tutorial
J Schiffner, B Bischl, M Lang, J Richter, ZM Jones, P Probst, F Pfisterer, ...
arXiv preprint arXiv:1609.06146, 2016
32016
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning
J Goschenhofer, FMJ Pfister, KA Yuksel, B Bischl, U Fietzek, J Thomas
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019
22019
Meta Learning for Defaults–Symbolic Defaults
JN van Rijn, F Pfisterer, J Thomas, A Muller, B Bischl, J Vanschoren
Neural Information Processing Workshop on Meta-Learning, 2018
22018
Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection
M Binder, J Moosbauer, J Thomas, B Bischl
arXiv preprint arXiv:1912.12912, 2019
2019
Towards Human Centered AutoML
F Pfisterer, J Thomas, B Bischl
arXiv preprint arXiv:1911.02391, 2019
2019
Recognition of subjects with early-stage Parkinson from free-living unilateral wrist-sensor data using a hierarchical machine learning model
FMJ Pfister, A von Schumann, J Bemetz, J Thomas, A Ceballos-Baumann, ...
JOURNAL OF NEURAL TRANSMISSION 126 (5), 663-663, 2019
2019
Gradient boosting in automatic machine learning: feature selection and hyperparameter optimization
J Thomas
Ludwig-Maximilians-University Munich, 2019
2019
A Benchmark Experiment on How to Encode Categorical Features in Predictive Modeling
F Pargent, B Bischl, J Thomas
2019
compboost: Modular Framework for Component-Wise Boosting
D Schalk, J Thomas, B Bischl
Journal of Open Source Software 3 (30), 967, 2018
2018
Boosting algorithms for GAMLSS
B Hofner, A Mayr, N Fenske, J Thomas, M Schmid
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