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Stefan Coors
Stefan Coors
Computational Statistics, Ludwig-Maximilians Unversity Munich
E-mail confirmado em campus.lmu.de
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Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 13 (2 …, 2023
2932023
mlr3: A modern object-oriented machine learning framework in R
M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ...
Journal of Open Source Software 4 (44), 1903, 2019
2692019
Amlb: an automl benchmark
P Gijsbers, MLP Bueno, S Coors, E LeDell, S Poirier, J Thomas, B Bischl, ...
Journal of Machine Learning Research 25 (101), 1-65, 2024
382024
Automatic gradient boosting
J Thomas, S Coors, B Bischl
arXiv preprint arXiv:1807.03873, 2018
362018
Machine learning for the educational sciences
S Hilbert, S Coors, E Kraus, B Bischl, A Lindl, M Frei, J Wild, S Krauss, ...
Review of Education 9 (3), e3310, 2021
342021
mlr3: A modern object-oriented machine learning framework in RJ Open Source Softw
M Lang, M Binder, J Richter, P Schratz, F Pfisterer, S Coors, Q Au, ...
312019
Multi-Objective Hyperparameter Optimization--An Overview
F Karl, T Pielok, J Moosbauer, F Pfisterer, S Coors, M Binder, L Schneider, ...
arXiv preprint arXiv:2206.07438, 2022
192022
Multi-objective automatic machine learning with autoxgboostmc
F Pfisterer, S Coors, J Thomas, B Bischl
arXiv preprint arXiv:1908.10796, 2019
142019
Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview
F Karl, T Pielok, J Moosbauer, F Pfisterer, S Coors, M Binder, L Schneider, ...
ACM Transactions on Evolutionary Learning and Optimization 3 (4), 1-50, 2023
102023
Hyperparameter optimization: Foundations, algorithms, best practices and open challenges. arXiv
B Bischl, M Binder, M Lang, T Pielok, J Richter, S Coors, J Thomas, ...
arXiv preprint arXiv:2107.05847, 2021
82021
Predicting instructed simulation and dissimulation when screening for depressive symptoms
S Goerigk, S Hilbert, A Jobst, P Falkai, M Bühner, C Stachl, B Bischl, ...
European Archives of Psychiatry and Clinical Neuroscience 270, 153-168, 2020
72020
mlr3learners: recommended learners for'mlr3'. R package version 0.4. 3
M Lang, Q Au, S Coors, P Schratz
62020
mlr3: Machine learning in R—Next generation
M Lang, B Bischl, J Richter, P Schratz, G Casalicchio, S Coors, Q Au, ...
62020
& Stachl, C.(2021)
S Hilbert, S Coors, E Kraus, B Bischl, A Lindl, M Frei
Machine learning for the educational sciences. Review of Education 9 (3), e3310, 0
5
A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC
AT Stüber, S Coors, B Schachtner, T Weber, D Rügamer, A Bender, ...
Investigative Radiology 58 (12), 874-881, 2023
42023
Automatic Componentwise Boosting: An Interpretable AutoML System
S Coors, D Schalk, B Bischl, D Rügamer
arXiv preprint arXiv:2109.05583, 2021
32021
Automatic gradient boosting
S Coors
32018
Machine learning for spelling acquisition: How accurate is the prediction of specific spelling errors in German primary school students?
R Böhme, S Coors, P Oster, M Munser-Kiefer, S Hilbert
Computers and Education: Artificial Intelligence, 100233, 2024
12024
Evolutionary Learning and Optimization
J Renzullo, W Weimer, S Forrest, D Yazdani, MN Omidvar, AH Gandomi, ...
ACM Transactions on 3 (4), 2023
2023
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance
AT Stüber, S Coors, M Ingrisch
2023
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Artigos 1–20