Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lefèvre, Baptiste"'
Publikováno v:
In Nuclear Inst. and Methods in Physics Research, A November 2024 1068
Autor:
Delseny, Hervé, Gabreau, Christophe, Gauffriau, Adrien, Beaudouin, Bernard, Ponsolle, Ludovic, Alecu, Lucian, Bonnin, Hugues, Beltran, Brice, Duchel, Didier, Ginestet, Jean-Brice, Hervieu, Alexandre, Martinez, Ghilaine, Pasquet, Sylvain, Delmas, Kevin, Pagetti, Claire, Gabriel, Jean-Marc, Chapdelaine, Camille, Picard, Sylvaine, Damour, Mathieu, Cappi, Cyril, Gardès, Laurent, De Grancey, Florence, Jenn, Eric, Lefevre, Baptiste, Flandin, Gregory, Gerchinovitz, Sébastien, Mamalet, Franck, Albore, Alexandre
Machine Learning (ML) seems to be one of the most promising solution to automate partially or completely some of the complex tasks currently realized by humans, such as driving vehicles, recognizing voice, etc. It is also an opportunity to implement
Externí odkaz:
http://arxiv.org/abs/2103.10529
Autor:
Cappi, Cyril, Chapdelaine, Camille, Gardes, Laurent, Jenn, Eric, Lefevre, Baptiste, Picard, Sylvaine, Soumarmon, Thomas
This document gives a set of recommendations to build and manipulate the datasets used to develop and/or validate machine learning models such as deep neural networks. This document is one of the 3 documents defined in [1] to ensure the quality of da
Externí odkaz:
http://arxiv.org/abs/2101.03020
Autor:
Picard, Sylvaine, Chapdelaine, Camille, Cappi, Cyril, Gardes, Laurent, Jenn, Eric, Lefèvre, Baptiste, Soumarmon, Thomas
Publikováno v:
The 10th IEEE International Workshop on Software Certification (WoSoCer 2020)
In this paper, we address the problem of dataset quality in the context of Machine Learning (ML)-based critical systems. We briefly analyse the applicability of some existing standards dealing with data and show that the specificities of the ML conte
Externí odkaz:
http://arxiv.org/abs/2011.01799
Akademický článek
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