References in zbMATH (referenced in 14 articles )

Showing results 1 to 14 of 14.
Sorted by year (citations)

  1. Michael Schubert: clustermq enables efficient parallelization of genomic analyses (2019) not zbMATH
  2. Horn, Daniel; Demircioğlu, Aydın; Bischl, Bernd; Glasmachers, Tobias; Weihs, Claus: A comparative study on large scale kernelized support vector machines (2018)
  3. Abbas, Sermad; Fried, Roland: Control charts for the mean based on robust two-sample tests (2017)
  4. Bommert, Andrea; Rahnenführer, Jörg; Lang, Michel: A multicriteria approach to find predictive and sparse models with stable feature selection for high-dimensional data (2017)
  5. Michel Lang: checkmate: Fast Argument Checks for Defensive R Programming (2017) arXiv
  6. Bischl, Bernd; Kerschke, Pascal; Kotthoff, Lars; Lindauer, Marius; Malitsky, Yuri; Fréchette, Alexandre; Hoos, Holger; Hutter, Frank; Leyton-Brown, Kevin; Tierney, Kevin; Vanschoren, Joaquin: ASlib: a benchmark library for algorithm selection (2016)
  7. Bischl, Bernd; Kühn, Tobias; Szepannek, Gero: On class imbalance correction for classification algorithms in credit scoring (2016)
  8. Bischl, Bernd; Lang, Michel; Kotthoff, Lars; Schiffner, Julia; Richter, Jakob; Studerus, Erich; Casalicchio, Giuseppe; Jones, Zachary M.: mlr: machine learning in (\mathbfR) (2016)
  9. Munteanu, Alexander; Wornowizki, Max: Correcting statistical models via empirical distribution functions (2016)
  10. Wornowizki, Max; Fried, Roland: Two-sample homogeneity tests based on divergence measures (2016)
  11. Bernd Bischl; Michel Lang; Olaf Mersmann; Jörg Rahnenführer; Claus Weihs: BatchJobs and BatchExperiments: Abstraction Mechanisms for Using R in Batch Environments (2015) not zbMATH
  12. Lang, M.; Kotthaus, H.; Marwedel, P.; Weihs, C.; Rahnenführer, J.; Bischl, B.: Automatic model selection for high-dimensional survival analysis (2015)
  13. Lawrence, Michael; Morgan, Martin: Scalable genomics with \textttRand bioconductor (2014)
  14. Friedrich, Thomas; Knapp, Guido: Generalised interval estimation in the random effects meta regression model (2013)