Michel Lang
Michel Lang
Verified email at statistik.tu-dortmund.de
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
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
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 (i11), 2015
batchtools: Tools for R to work on batch systems
M Lang, B Bischl, D Surmann
The Journal of Open Source Software 2 (10), 2017
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
OpenML benchmarking suites and the OpenML100
B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ...
stat 1050, 11, 2017
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
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
Survival models with preclustered gene groups as covariates
K Kammers, M Lang, JG Hengstler, M Schmidt, J Rahnenführer
BMC bioinformatics 12 (1), 478, 2011
BiocParallel: Bioconductor facilities for parallel evaluation
M Morgan, V Obenchain, M Lang, R Thompson, N Turaga
R package version 1 (1), 2014
parallelMap: Unified interface to parallelization back-ends
B Bischl, M Lang
R package version 1, 2015
Package ‘data. table’
M Dowle, A Srinivasan, J Gorecki, M Chirico, P Stetsenko, T Short, ...
Extension of ‘data. frame, 2019
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
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
mlr: Machine Learning in R. R package version 2.9
B Bischl, M Lang, J Richter, J Bossek, L Judt, T Kuehn, E Studerus, ...
Robust selection of cancer survival signatures from high-throughput genomic data using two-fold subsampling
S Lee, J Rahnenführer, M Lang, K De Preter, P Mestdagh, J Koster, ...
PloS one 9 (10), e108818, 2014
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
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
mlrMBO: model-based optimization for mlr
B Bischl, J Bossek, D Horn, M Lang
R package version 1, 92-07, 2015
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