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pro vyhledávání: '"Sedes, Florence"'
Autor:
Sèdes, Florence
Major transformations related to information technologies affect InformationSystems (IS) that support the business processes of organizations and their actors. Deployment in a complex environment involving sensitive, massive and heterogeneous data ge
Externí odkaz:
http://arxiv.org/abs/2406.12938
Autor:
Junior, Sylvio Barbon, Ceravolo, Paolo, Groppe, Sven, Jarrar, Mustafa, Maghool, Samira, Sèdes, Florence, Sahri, Soror, Van Keulen, Maurice
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like fluency a
Externí odkaz:
http://arxiv.org/abs/2406.06596
Publikováno v:
In Computer Communications 1 September 2024 225:65-82
This paper proposes a comprehensive analysis of existing concepts coming from different disciplines tackling the notion of intelligence, namely psychology and engineering, and from disciplines aiming to regulate AI innovations, namely AI ethics and l
Externí odkaz:
http://arxiv.org/abs/2105.03192
Autor:
Roman-Jimenez, Geoffrey, Guyot, Patrice, Malon, Thierry, Chambon, Sylvie, Charvillat, Vincent, Crouzil, Alain, Péninou, André, Pinquier, Julien, Sedes, Florence, Sénac, Christine
This paper addresses the problem of vehicle re-identification using distance comparison of images in CNN latent spaces. Firstly, we study the impact of the distance metrics, comparing performances obtained with different metrics: the minimal Euclidea
Externí odkaz:
http://arxiv.org/abs/1910.09458
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Publikováno v:
In Procedia Computer Science 2022 207:2804-2813
Publikováno v:
In Procedia Computer Science 2021 192:1081-1091
Publikováno v:
Cluster Computing; Jun2024, Vol. 27 Issue 3, p3379-3395, 17p
Publikováno v:
In Expert Systems With Applications 30 November 2019 135:129-152