@InProceedings{reymond_et_al:OASIcs.WCET.2024.1,
  author =	{Reymond, Hugo and Amalou, Abderaouf Nassim and Puaut, Isabelle},
  title =	{{WORTEX: Worst-Case Execution Time and Energy Estimation in Low-Power Microprocessors Using Explainable ML}},
  booktitle =	{22nd International Workshop on Worst-Case Execution Time Analysis (WCET 2024)},
  pages =	{1:1--1:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-346-1},
  ISSN =	{2190-6807},
  year =	{2024},
  volume =	{121},
  editor =	{Carle, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.WCET.2024.1},
  URN =		{urn:nbn:de:0030-drops-204691},
  doi =		{10.4230/OASIcs.WCET.2024.1},
  annote =	{Keywords: Worst-Case Execution Time (WCET), Worst-Case Energy Consumption (WCEC), Machine Learning, Explainable ML models}
}