| 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 | 271 | 2016 |
| 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 | 55 | 2015 |
| 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 | 52 | 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 | 38 | 2017 |
| Survival models with preclustered gene groups as covariates K Kammers, M Lang, JG Hengstler, M Schmidt, J Rahnenführer BMC bioinformatics 12 (1), 478, 2011 | 29 | 2011 |
| 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 | 27 | 2015 |
| OpenML benchmarking suites and the OpenML100 B Bischl, G Casalicchio, M Feurer, F Hutter, M Lang, RG Mantovani, ... arXiv preprint arXiv:1708.03731, 2017 | 22 | 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, 1-15, 2017 | 22 | 2017 |
| BiocParallel: Bioconductor facilities for parallel evaluation M Morgan, V Obenchain, M Lang, R Thompson, N Turaga R package version 0.4 1, 2014 | 20 | 2014 |
| parallelMap: Unified interface to parallelization back-ends B Bischl, M Lang R package version 1, 2015 | 17 | 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 | 16 | 2015 |
| Computing on high performance clusters with r: Packages batchjobs and batchexperiments B Bischl, M Lang, O Mersmann, J Rahnenfuehrer, C Weihs | 16 | 2012 |
| Package ‘data. table’ M Dowle, A Srinivasan, J Gorecki, M Chirico, P Stetsenko, T Short, ... Extension of ‘data. frame, 2019 | 14 | 2019 |
| 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 | 14 | |
| mlr: Machine Learning in R. R package version 2.9 B Bischl, M Lang, J Richter, J Bossek, L Judt, T Kuehn, E Studerus, ... | 12 | 2015 |
| 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 | 12 | 2014 |
| 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 | 10 | 2016 |
| mlrmbo: Model-based optimization for mlr B Bischl, J Bossek, D Horn, M Lang R package version 1, 92-07, 2015 | 8 | 2015 |
| checkmate: Fast argument checks for defensive r programming M Lang arXiv preprint arXiv:1701.04781, 2017 | 5 | 2017 |
| BBmisc: Miscellaneous Helper Functions for B B Bischl, M Lang, J Bossek, D Horn, J Richter, D Surmann Bischl. R package version 1, 2017 | 5 | 2017 |
Bernd BischlHead of "Computational Statistics" Group, LMU MunichVerified email at stat.uni-muenchen.de
