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export results for "Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach."
@inproceedings{DBLP:conf/atva/GaglioneNRTX21, author = {Jean{-}Rapha{\"{e}}l Gaglione and Daniel Neider and Rajarshi Roy and Ufuk Topcu and Zhe Xu}, editor = {Zhe Hou and Vijay Ganesh}, title = {Learning Linear Temporal Properties from Noisy Data: {A} MaxSAT-Based Approach}, booktitle = {Automated Technology for Verification and Analysis - 19th International Symposium, {ATVA} 2021, Gold Coast, QLD, Australia, October 18-22, 2021, Proceedings}, series = {Lecture Notes in Computer Science}, volume = {12971}, pages = {74--90}, publisher = {Springer}, year = {2021}, url = {https://doi.org/10.1007/978-3-030-88885-5\_6}, doi = {10.1007/978-3-030-88885-5\_6}, timestamp = {Mon, 01 Jul 2024 10:37:52 +0200}, biburl = {https://dblp.org/rec/conf/atva/GaglioneNRTX21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2104-15083, author = {Jean{-}Rapha{\"{e}}l Gaglione and Daniel Neider and Rajarshi Roy and Ufuk Topcu and Zhe Xu}, title = {Learning Linear Temporal Properties from Noisy Data: {A} MaxSAT Approach}, journal = {CoRR}, volume = {abs/2104.15083}, year = {2021}, url = {https://arxiv.org/abs/2104.15083}, eprinttype = {arXiv}, eprint = {2104.15083}, timestamp = {Tue, 04 May 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-2104-15083.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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