Stefan Coors

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 11

Top Topics

Feature Importance

Evolutionary Optimization

Gradient Boosting

Top Venues

ACM Trans. Evol. Learn. Optim.

WIREs Data. Mining. Knowl. Discov.

Comput. Educ. Artif. Intell.

Publications

Richard Boehme, Stefan Coors, Patrick Oster, Meike Munser-Kiefer, Sven Hilbert
Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students? Comput. Educ. Artif. Intell. 6 (2024)
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)
Anna Theresa Stüber, Stefan Coors, Michael Ingrisch
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance. xAI (Late-breaking Work, Demos, Doctoral Consortium) (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)
Pieter Gijsbers, Marcos L. P. Bueno, Stefan Coors, Erin LeDell, Sébastien Poirier, Janek Thomas, Bernd Bischl, Joaquin Vanschoren
AMLB: an AutoML Benchmark. 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)
Stefan Coors, Daniel Schalk, Bernd Bischl, David Rügamer
Automatic Componentwise Boosting: An Interpretable AutoML System. CoRR (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)
Florian Pfisterer, Stefan Coors, Janek Thomas, Bernd Bischl
Multi-Objective Automatic Machine Learning with AutoxgboostMC. CoRR (2019)
Michel Lang, Martin Binder, Jakob Richter, Patrick Schratz, Florian Pfisterer, Stefan Coors, Quay Au, Giuseppe Casalicchio, Lars Kotthoff, Bernd Bischl
mlr3: A modern object-oriented machine learning framework in R. J. Open Source Softw. 4 (44) (2019)
Janek Thomas, Stefan Coors, Bernd Bischl
Automatic Gradient Boosting. CoRR (2018)