On the Disruptive Effectiveness of Automated Planning for LTL\emphf-Based Trace Alignment. Giacomo, G. D., Maggi, F. M., Marrella, A., & Patrizi, F. In Singh, S. P. & Markovitch, S., editors, Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA, pages 3555–3561, 2017. AAAI Press. Paper bibtex @inproceedings{DBLP:conf/aaai/XuLZ17a,
author = {Giuseppe De Giacomo and
Fabrizio Maria Maggi and
Andrea Marrella and
Fabio Patrizi},
editor = {Satinder P. Singh and
Shaul Markovitch},
title = {On the Disruptive Effectiveness of Automated Planning for LTL\emph{f}-Based
Trace Alignment},
booktitle = {Proceedings of the Thirty-First {AAAI} Conference on Artificial Intelligence,
February 4-9, 2017, San Francisco, California, {USA}},
pages = {3555--3561},
publisher = {{AAAI} Press},
year = {2017},
url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14652},
timestamp = {Wed, 10 Feb 2021 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/aaai/XuLZ17a.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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