引用次数
引用: 1,334
H-指数: 14
I10-指数 : 19
出版物: 31
mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions
Bernd Bischl , Jakob Richter , Jakob Bossek , Michel Lang
arXiv: Machine Learning
160
2017
Multi-Objective Automatic Machine Learning with AutoxgboostMC.
Bernd Bischl , Janek Thomas , Stefan Coors , Florian Pfisterer
arXiv: Machine Learning
11
2019
Deep Semi-Supervised Learning for Time Series Classification.
Bernd Bischl , Moritz Wagner , David Rügamer , Janek Thomas
arXiv: Learning
8
2021
Automated Online Experiment-Driven Adaptation–Mechanics and Cost Aspects
Bernd Bischl , Ilias Gerostathopoulos , Frantisek Plasil , Janek Thomas
IEEE Access 9 58079 -58087
2021
Multi-objective hyperparameter tuning and feature selection using filter ensembles
Martin Binder , Julia Moosbauer , Janek Thomas , Bernd Bischl
genetic and evolutionary computation conference 471 -479
4
2020
FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking
Michael Rietzler , Florian Geiselhart , Janek Thomas , Enrico Rukzio
engineering interactive computing system 73 -84
11
2016
Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning.
Jann Goschenhofer , Franz M. J. Pfister , Kamer Ali Yuksel , Bernd Bischl
european conference on principles of data mining and knowledge discovery 400 -415
16
2019
Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates
Janek Thomas , Andreas Mayr , Bernd Bischl , Matthias Schmid
Statistics and Computing 28 ( 3) 673 -687
25
2018
compboost: Modular Framework for Component-Wise Boosting
Daniel Schalk , Janek Thomas , Bernd Bischl
The Journal of Open Source Software 3 ( 30) 967
1
2018
Probing for Sparse and Fast Variable Selection with Model-Based Boosting.
Janek Thomas , Tobias Hepp , Andreas Mayr , Bernd Bischl
Computational and Mathematical Methods in Medicine 2017 1421409 -1421409
9
2017
Meta learning for defaults: Symbolic defaults
Jan N van Rijn , Florian Pfisterer , Janek Thomas , Andreas Muller
Neural Information Processing Workshop on Meta-Learning
10
2018
Amlb: an automl benchmark
Pieter Gijsbers , Marcos LP Bueno , Stefan Coors , Erin LeDell
Journal of Machine Learning Research 25 ( 101) 1 -65
328
2024
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Bernd Bischl , Martin Binder , Michel Lang , Tobias Pielok
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 ( 2) e1484 -e1484
304
2023
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features
Florian Pargent , Florian Pfisterer , Janek Thomas , Bernd Bischl
Computational Statistics 37 ( 5) 2671 -2692
98
2022
Automatic gradient boosting
Janek Thomas , Stefan Coors , Bernd Bischl
arXiv preprint arXiv:1807.03873
36
2018
Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview
Florian Karl , Tobias Pielok , Julia Moosbauer , Florian Pfisterer
ACM Transactions on Evolutionary Learning and Optimization 3 ( 4) 1 -50
30
2023
Automatic exploration of machine learning experiments on openml
Daniel Kühn , Philipp Probst , Janek Thomas , Bernd Bischl
arXiv preprint arXiv:1806.10961
15
2018
Towards human centered AutoML
Florian Pfisterer , Janek Thomas , Bernd Bischl
arXiv preprint arXiv:1911.02391
11
2019
Structured verification of machine learning models in industrial settings
Sai Rahul Kaminwar , Jann Goschenhofer , Janek Thomas , Ingo Thon
Big Data 11 ( 3) 181 -198
4
2023