@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}
}
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