Browsing by Subject "benchmark"

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  • Artificial Wear for the Assessment of Monitoring Performance 
    Denkena, Berend; Bergmann, Benjamin; Stiehl, Tobias H. (Amsterdam [u.a.] : Elsevier, 2021)
    Various tool condition monitoring systems exist, that can increase machine availability and process reliability. Assessing and comparing their performance, however, requires high expenditure due to real process failures ...
  • Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning 
    Feurer, Matthias; Eggensperger, Katharina; Falkner, Stefan; Lindauer, Marius; Hutter, Frank (Brookline, MA : Microtome Publishing, 2022)
    Automated Machine Learning (AutoML) supports practitioners and researchers with the tedious task of designing machine learning pipelines and has recently achieved substantial success. In this paper, we introduce new AutoML ...