Janek Thomas - RankMe

35 papers A 2C 1Misc 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	AMLB: an AutoML Benchmark. J. Mach. Learn. Res. Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
2023	J	`jnl`	Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. WIREs Data. Mining. Knowl. Discov. 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
2023	J	`jnl`	MO-DEHB: Evolutionary-based Hyperband for Multi-Objective Optimization. CoRR Noor H. Awad, Ayushi Sharma, Philipp Muller, Janek Thomas, Frank Hutter
2023	J	`jnl`	Multi-Objective Hyperparameter Optimization in Machine Learning - An Overview. ACM Trans. Evol. Learn. Optim. 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
2023	A	`conf`	Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. GECCO Lennart Schneider, Bernd Bischl, Janek Thomas
2023	J	`jnl`	Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models. CoRR Lennart Schneider, Bernd Bischl, Janek Thomas
2023	J	`jnl`	Structured Verification of Machine Learning Models in Industrial Settings. Big Data Sai Rahul Kaminwar, Jann Goschenhofer, Janek Thomas, Ingo Thon, Bernd Bischl
2022	J	`jnl`	A Collection of Quality Diversity Optimization Problems Derived from Hyperparameter Optimization of Machine Learning Models. CoRR Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
2022	—	`conf`	A collection of quality diversity optimization problems derived from hyperparameter optimization of machine learning models. GECCO Companion Lennart Schneider, Florian Pfisterer, Janek Thomas, Bernd Bischl
2022	J	`jnl`	AMLB: an AutoML Benchmark. CoRR Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
2022	J	`jnl`	Multi-Objective Hyperparameter Optimization - An Overview. CoRR 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
2022	J	`jnl`	Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. Comput. Stat. Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
2022	—	`conf`	Tackling Neural Architecture Search With Quality Diversity Optimization. AutoML Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
2022	J	`jnl`	Tackling Neural Architecture Search With Quality Diversity Optimization. CoRR Lennart Schneider, Florian Pfisterer, Paul Kent, Jürgen Branke, Bernd Bischl, Janek Thomas
2021	J	`jnl`	Automated Online Experiment-Driven Adaptation-Mechanics and Cost Aspects. IEEE Access Ilias Gerostathopoulos, Frantisek Plásil, Christian Prehofer, Janek Thomas, Bernd Bischl
2021	J	`jnl`	Deep Semi-Supervised Learning for Time Series Classification. CoRR Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
2021	C	`conf`	Deep Semi-supervised Learning for Time Series Classification. ICMLA Jann Goschenhofer, Rasmus Hvingelby, David Rügamer, Janek Thomas, Moritz Wagner, Bernd Bischl
2021	J	`jnl`	Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges. CoRR 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
2021	J	`jnl`	Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features. CoRR Florian Pargent, Florian Pfisterer, Janek Thomas, Bernd Bischl
2020	A	`conf`	Multi-objective hyperparameter tuning and feature selection using filter ensembles. GECCO Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
2019	J	`jnl`	An Open Source AutoML Benchmark. CoRR Pieter Gijsbers, Erin LeDell, Janek Thomas, Sébastien Poirier, Bernd Bischl, Joaquin Vanschoren
2019	J	`jnl`	Model-Agnostic Approaches to Multi-Objective Simultaneous Hyperparameter Tuning and Feature Selection. CoRR Martin Binder, Julia Moosbauer, Janek Thomas, Bernd Bischl
2019	J	`jnl`	Multi-Objective Automatic Machine Learning with AutoxgboostMC. CoRR Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl
2019	J	`jnl`	Towards Human Centered AutoML. CoRR Florian Pfisterer, Janek Thomas, Bernd Bischl
2019	—	`conf`	Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning. ECML/PKDD (3) Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas
2019	J	`jnl`	Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning. CoRR Jann Goschenhofer, Franz Michael Josef Pfister, Kamer Ali Yuksel, Bernd Bischl, Urban Fietzek, Janek Thomas
2018	J	`jnl`	Automatic Exploration of Machine Learning Experiments on OpenML. CoRR Daniel Kühn, Philipp Probst, Janek Thomas, Bernd Bischl
2018	J	`jnl`	Automatic Gradient Boosting. CoRR Janek Thomas, Stefan Coors, Bernd Bischl
2018	J	`jnl`	Corrigendum to "Probing for Sparse and Fast Variable Selection with Model-Based Boosting". Comput. Math. Methods Medicine Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
2018	J	`jnl`	Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. Stat. Comput. Janek Thomas, Andreas Mayr, Bernd Bischl, Matthias Schmid, Adam Smith, Benjamin Hofner
2018	J	`jnl`	compboost: Modular Framework for Component-Wise Boosting. J. Open Source Softw. Daniel Schalk, Janek Thomas, Bernd Bischl
2017	J	`jnl`	Probing for Sparse and Fast Variable Selection with Model-Based Boosting. Comput. Math. Methods Medicine Janek Thomas, Tobias Hepp, Andreas Mayr, Bernd Bischl
2017	—	`conf`	RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. LION Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer, Michel Lang
2016	Misc	`conf`	FusionKit: a generic toolkit for skeleton, marker and rigid-body tracking. EICS Michael Rietzler, Florian Geiselhart, Janek Thomas, Enrico Rukzio
2016	J	`jnl`	mlr Tutorial. CoRR 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