Janek Thomas

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 34

Top Topics

Variable Selection

Pareto Frontier

Machine Learning

Top Venues

Comput. Math. Methods Medicine

ACM Trans. Evol. Learn. Optim.

Publications

Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
Structured Verification of Machine Learning Models in Industrial Settings. Big Data 11 (3) (2023)
Lennart Schneider, Bernd Bischl, Janek Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. CoRR (2023)
Lennart Schneider, Bernd Bischl, Janek Thomas
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. GECCO (2023)
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 13 (2) (2023)
Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl
Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 3 (4) (2023)
Noor H. Awad, Ayushi Sharma, Philipp Muller, Janek Thomas, Frank Hutter
MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization. CoRR (2023)
Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Comput. Stat. 37 (5) (2022)
Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
AMLB: an AutoML Benchmark. CoRR (2022)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML (2022)
Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. GECCO Companion (2022)
Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR (2022)
Florian Karl, Tobias Pielok, Julia Moosbauer, Florian Pfisterer, Stefan Coors, Martin Binder, Lennart Schneider, Janek Thomas, Jakob Richter, Michel Lang, Eduardo C. Garrido-Merchán, Jürgen Branke, Bernd Bischl
Multi-Objective Hyperparameter Optimization - An Overview. CoRR (2022)
Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models. CoRR (2022)
Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. CoRR (2021)
Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
Deep Semi-supervised Learning for Time Series Classification. ICMLA (2021)
Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
Deep Semi-Supervised Learning for Time Series Classification. CoRR (2021)
Ilias Gerostathopoulos, Frantisek Plasil, Christian Prehofer, Janek Thomas, Bernd Bischl
Automated Online Experiment-Driven Adaptation-Mechanics and Cost Aspects. IEEE Access 9 (2021)
Bernd Bischl, Martin Binder, Michel Lang, Tobias Pielok, Jakob Richter, Stefan Coors, Janek Thomas, Theresa Ullmann, Marc Becker, Anne-Laure Boulesteix, Difan Deng, Marius Lindauer
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. CoRR (2021)
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
Multi-objective hyperparameter tuning and feature selection using filter ensembles. GECCO (2020)
Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren
An Open Source AutoML Benchmark. CoRR (2019)
Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection. CoRR (2019)
Florian Pfisterer, Janek Thomas, Bernd Bischl
Towards Human Centered AutoML. CoRR (2019)
Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas
Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning. ECML/PKDD (3) (2019)
Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl
Multi-Objective Automatic Machine Learning with AutoxgboostMC. CoRR (2019)
Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning. CoRR (2019)
Daniel Schalk, Janek Thomas, Bernd Bischl
compboost: Modular Framework for Component-Wise Boosting. J. Open Source Softw. 3 (30) (2018)
Daniel Kühn, Philipp Probst, Janek Thomas, Bernd Bischl
Automatic Exploration of Machine Learning Experiments on OpenML. CoRR (2018)
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) (2018)
Janek Thomas, Stefan Coors, Bernd Bischl
Automatic Gradient Boosting. CoRR (2018)
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting". Comput. Math. Methods Medicine 2018 (2018)
Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION (2017)
Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
Probing for Sparse and Fast Variable Selection with Model-Based Boosting. Comput. Math. Methods Medicine 2017 (2017)
Michael Rietzler, Florian Geiselhart, Janek Thomas, Enrico Rukzio
FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking. EICS (2016)
Julia Schiffner, Bernd Bischl, Michel Lang, Jakob Richter, Zachary M. Jones, Philipp Probst, Florian Pfisterer, Mason Gallo, Dominik Kirchhoff, Tobias Kühn, Janek Thomas, Lars Kotthoff
mlr Tutorial. CoRR (2016)