Michel Lang
Michel Lang
TU Dortmund; LMU Munich
Verified email at statistik.tu-dortmund.de - Homepage
Cited by
Cited by
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
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
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
batchtools: Tools for R to work on batch systems
M Lang, B Bischl, D Surmann
The Journal of Open Source Software 2 (10), 2017
OpenML benchmarking suites and the OpenML100
B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ...
stat 1050, 11, 2017
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), 1-25, 2015
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
Package ‘data. table’
M Dowle, A Srinivasan, J Gorecki, M Chirico, P Stetsenko, T Short, ...
Extension of ‘data. frame, 2019
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
BiocParallel: Bioconductor facilities for parallel evaluation
M Morgan, V Obenchain, M Lang, R Thompson, N Turaga
R package version 1 (1), 2014
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 (3), 977-991, 2019
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
parallelMap: Unified interface to parallelization back-ends
B Bischl, M Lang
R package version 1, 2015
Runtime and memory consumption analyses for machine learning R programs
H Kotthaus, I Korb, M Lang, B Bischl, J Rahnenführer, P Marwedel
Journal of Statistical Computation and Simulation 85 (1), 14-29, 2015
Computing on high performance clusters with R: Packages BatchJobs and BatchExperiments
B Bischl, M Lang, O Mersmann, J Rahnenfuehrer, C Weihs
checkmate: fast argument checks for Defensive R programming
M Lang
arXiv preprint arXiv:1701.04781, 2017
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
mlr: Machine Learning in R., 2013
B Bischl, M Lang, L Kotthoff, J Schiffner, J Richter, Z Jones, G Casalicchio, ...
R package version 2, 0
Faster model-based optimization through resource-aware scheduling strategies
J Richter, H Kotthaus, B Bischl, P Marwedel, J Rahnenführer, M Lang
International Conference on Learning and Intelligent Optimization, 267-273, 2016
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
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