| 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 | 843 | 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 | 458 | 2020 |
| 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 | 222 | 2019 |
| 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 | 171 | 2017 |
| 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 | 157 | 2023 |
| 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 | 145* | 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 | 89 | 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, 977-991, 2019 | 65 | 2019 |
| 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 | 64 | 2015 |
| 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 | 62 | 2021 |
| 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 | 51 | 2015 |
| 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 | 33 | 2011 |
| checkmate: Fast argument checks for defensive R programming M Lang arXiv preprint arXiv:1701.04781, 2017 | 29 | 2017 |
| parallelMap: Unified interface to parallelization back-ends B Bischl, M Lang, P Schratz R package version 1, 2015 | 29 | 2015 |
| 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, ... | 28 | 2019 |
| 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 | 24 | 2021 |
| 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 | 24 | 2020 |
| 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 | 24 | 2017 |
| 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 | 23 | 2017 |
Bernd BischlChair of Statistical Learning and Data Science, LMU MunichVerified email at stat.uni-muenchen.de
