Michal Töpfer, Milad Abdullah, Martin Krulis, Tomás Bures, Petr Hnetynka. ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components. In Roberto Casadei, Elisabetta Di Nitto, Ilias Gerostathopoulos, Danilo Pianini, Ivana Dusparic, Timothy Wood, Phyllis R. Nelson, Evangelos Pournaras, Nelly Bencomo, Sebastian Götz, Christian Krupitzer, Claudia Raibulet, editors, IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022. pages 66-69, IEEE, 2022. [doi]
@inproceedings{TopferAKBH22,
title = {ML-DEECo: a Machine-Learning-Enabled Framework for Self-organizing Components},
author = {Michal Töpfer and Milad Abdullah and Martin Krulis and Tomás Bures and Petr Hnetynka},
year = {2022},
doi = {10.1109/ACSOSC56246.2022.00033},
url = {https://doi.org/10.1109/ACSOSC56246.2022.00033},
researchr = {https://researchr.org/publication/TopferAKBH22},
cites = {0},
citedby = {0},
pages = {66-69},
booktitle = {IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion, ACSOS-C 2022, Virtual, CA, USA, September 19-23, 2022},
editor = {Roberto Casadei and Elisabetta Di Nitto and Ilias Gerostathopoulos and Danilo Pianini and Ivana Dusparic and Timothy Wood and Phyllis R. Nelson and Evangelos Pournaras and Nelly Bencomo and Sebastian Götz and Christian Krupitzer and Claudia Raibulet},
publisher = {IEEE},
isbn = {978-1-6654-5142-0},
}