@InProceedings{dealbuquerquesilva_et_al:LIPIcs.ECRTS.2022.3,
  author =	{De Albuquerque Silva, Iryna and Carle, Thomas and Gauffriau, Adrien and Pagetti, Claire},
  title =	{{ACETONE: Predictable Programming Framework for ML Applications in Safety-Critical Systems}},
  booktitle =	{34th Euromicro Conference on Real-Time Systems (ECRTS 2022)},
  pages =	{3:1--3:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-239-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{231},
  editor =	{Maggio, Martina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2022.3},
  URN =		{urn:nbn:de:0030-drops-163202},
  doi =		{10.4230/LIPIcs.ECRTS.2022.3},
  annote =	{Keywords: Real-time safety-critical systems, Worst Case Execution Time analysis, Artificial Neural Networks implementation}
}