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Michel Lang
Michel Lang
TU Dortmund; LMU Munich
Verified email at statistik.tu-dortmund.de - Homepage
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Cited by
Cited by
Year
mlr: Machine Learning in R
B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, E Studerus, ...
The Journal of Machine Learning Research 17 (1), 5938-5942, 2016
8372016
Benchmark for filter methods for feature selection in high-dimensional classification data
A Bommert, X Sun, B Bischl, J Rahnenführer, M Lang
Computational Statistics & Data Analysis 143, 106839, 2020
4542020
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
2162019
mlrMBO: A modular framework for model-based optimization of expensive black-box functions
B Bischl, J Richter, J Bossek, D Horn, J Thomas, M Lang
arXiv preprint arXiv:1703.03373, 2017
1702017
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
1532023
OpenML Benchmarking Suites
J Bischl, Bernd and Bischl, Bernd and Casalicchio, Giuseppe and Feurer ...
Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021
142*2021
batchtools: Tools for R to work on batch systems
M Lang, B Bischl, D Surmann
The Journal of Open Source Software 2 (10), 2017
892017
OpenML: An R package to connect to the machine learning platform OpenML
G Casalicchio, J Bossek, M Lang, D Kirchhoff, P Kerschke, B Hofner, ...
Computational Statistics 34, 977-991, 2019
652019
BatchJobs and BatchExperiments: Abstraction mechanisms for using R in batch environments
B Bischl, M Lang, O Mersmann, J Rahnenführer, C Weihs
Journal of Statistical Software 64, 1-25, 2015
642015
mlr3proba: an R package for machine learning in survival analysis
R Sonabend, FJ Király, A Bender, B Bischl, M Lang
Bioinformatics 37 (17), 2789-2791, 2021
622021
BiocParallel: Bioconductor facilities for parallel evaluation
M Morgan, V Obenchain, M Lang, R Thompson, N Turaga
R package version 1 (1), 2014
53*2014
Automatic model selection for high-dimensional survival analysis
M Lang, H Kotthaus, P Marwedel, C Weihs, J Rahnenführer, B Bischl
Journal of Statistical Computation and Simulation 85 (1), 62-76, 2015
512015
Survival models with preclustered gene groups as covariates
K Kammers, M Lang, JG Hengstler, M Schmidt, J Rahnenführer
BMC bioinformatics 12 (1), 1-12, 2011
332011
checkmate: Fast argument checks for defensive R programming
M Lang
arXiv preprint arXiv:1701.04781, 2017
292017
parallelMap: Unified interface to parallelization back-ends
B Bischl, M Lang, P Schratz
R package version 1, 2015
292015
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, ...
282019
mlr3pipelines—Flexible machine learning pipelines in r
M Binder, F Pfisterer, M Lang, L Schneider, L Kotthoff, B Bischl
The Journal of Machine Learning Research 22 (1), 8314-8320, 2021
242021
Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms
R Jagdhuber, M Lang, A Stenzl, J Neuhaus, J Rahnenführer
BMC bioinformatics 21 (1), 1-21, 2020
242020
A multicriteria approach to find predictive and sparse models with stable feature selection for high-dimensional data
A Bommert, J Rahnenführer, M Lang
Computational and mathematical methods in medicine 2017, 2017
242017
BBmisc: Miscellaneous helper functions for B. Bischl
B Bischl, M Lang, J Bossek, D Horn, J Richter, D Surmann
R package version 1.11, 2017
232017
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Articles 1–20