A computationally fast variable importance test for random forests for high-dimensional data. Janitza, S., Celik, E., & Boulesteix, A. Adv. Data Anal. Classif., 12(4):885–915, 2018.
A computationally fast variable importance test for random forests for high-dimensional data [link]Paper  doi  bibtex   
@article{DBLP:journals/adac/JanitzaCB18,
  author    = {Silke Janitza and
               Ender Celik and
               Anne{-}Laure Boulesteix},
  title     = {A computationally fast variable importance test for random forests
               for high-dimensional data},
  journal   = {Adv. Data Anal. Classif.},
  volume    = {12},
  number    = {4},
  pages     = {885--915},
  year      = {2018},
  url       = {https://doi.org/10.1007/s11634-016-0276-4},
  doi       = {10.1007/s11634-016-0276-4},
  timestamp = {Wed, 01 Apr 2020 01:00:00 +0200},
  biburl    = {https://dblp.org/rec/journals/adac/JanitzaCB18.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

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