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pro vyhledávání: '"PONCELET, Pascal"'
Autor:
Huchard, Marianne, Martin, Pierre, Muller, Emile, Poncelet, Pascal, Raveneau, Vincent, Sallaberry, Arnaud
Publikováno v:
In International Journal of Approximate Reasoning March 2024 166
Autor:
Papastergiou Thomas, Azé Jérôme, Bringay Sandra, Louet Maxime, Poncelet Pascal, Rosales-Hurtado Miyanou, Vo-Hoang Yen, Licznar-Fajardo Patricia, Docquier Jean-Denis, Gavara Laurent
Publikováno v:
Journal of Integrative Bioinformatics, Vol 20, Iss 2, Pp 629-55 (2023)
NDM-1 (New-Delhi-Metallo-β-lactamase-1) is an enzyme developed by bacteria that is implicated in bacteria resistance to almost all known antibiotics. In this study, we deliver a new, curated NDM-1 bioactivities database, along with a set of unifying
Externí odkaz:
https://doaj.org/article/1f931047d7ab413eaff8966dca38a852
Many algorithms have been designed to remove node overlapping, and many quality criteria and associated metrics have been proposed to evaluate those algorithms. Unfortunately, a complete comparison of the algorithms based on some metrics that evaluat
Externí odkaz:
http://arxiv.org/abs/1908.07363
Akademický článek
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The problem of node-centric, or local, community detection in information networks refers to the identification of a community for a given input node, having limited information about the network topology. Existing methods for solving this problem, h
Externí odkaz:
http://arxiv.org/abs/1704.03441
Autor:
Goel, Rohan, Valentin, Sarah, Delaforge, Alexis, Fadloun, Samiha, Sallaberry, Arnaud, Roche, Mathieu, Poncelet, Pascal
Publikováno v:
In Journal of Computer Languages February 2020 56
Recent improvements in positioning technology has led to a much wider availability of massive moving object data. A crucial task is to find the moving objects that travel together. Usually, these object sets are called spatio-temporal patterns. Due t
Externí odkaz:
http://arxiv.org/abs/1204.0864
Publikováno v:
Studies in Health Technology & Informatics; 2024, Vol. 316, p1314-1318, 5p
The role of location and social strength for friendship prediction in location-based social networks
Publikováno v:
In Information Processing and Management July 2018 54(4):475-489
Publikováno v:
In Information Sciences July 2018 451-452:50-66