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  MaxSAT-based Temporal Logic Inference from Noisy Data

Gaglione, J.-R., Neider, D., Roy, R., Topcu, U., & Xu, Z. (2022). MaxSAT-based Temporal Logic Inference from Noisy Data. Innovations in Systems and Software Engineering, 18(3), 427-442. doi:10.1007/s11334-022-00444-8.

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Genre: Journal Article
Latex : {MaxSAT}-based temporal logic inference from noisy data

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 Creators:
Gaglione, Jean-Raphaël1, Author
Neider, Daniel2, Author           
Roy, Rajarshi2, Author           
Topcu, Ufuk1, Author
Xu, Zhe1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society, ou_2105292              

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Language(s): eng - English
 Dates: 20222022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s11334-022-00444-8
BibTex Citekey: Gaglione22
 Degree: -

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Title: Innovations in Systems and Software Engineering
Source Genre: Journal
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Publ. Info: New York, NY : Springer
Pages: - Volume / Issue: 18 (3) Sequence Number: - Start / End Page: 427 - 442 Identifier: ISSN: 1614-5046

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Title: 19th International Symposium on Automated Technology for Verification and Analysis
  Abbreviation : ATVA 2021
Source Genre: Proceedings
 Creator(s):
Zhé, Hóu1, Editor
Ganesh, Vijay1, Editor
Sun, Jing1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -