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Les outils de l'apprentissage profond au service de l'évaluation et de la conservation des archives

Abstract : This article presents the results of the first year of a doctoral research on the use of an artificial intelligence technology, deep learning, to evaluate from photographs the condition state of the binded archives of the Parlement de Paris (parliament of Paris), with an automatic mode. This doctoral thesis is carried out at the university CY Cergy Paris Université in partnership with the Archives nationales (national archives) andthe ETIS laboratory
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https://hal.archives-ouvertes.fr/hal-03620940
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Submitted on : Friday, April 15, 2022 - 4:08:06 PM
Last modification on : Friday, August 5, 2022 - 2:45:59 PM

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  • HAL Id : hal-03620940, version 1

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Valérie Lee, Julien Longhi, David Picard, Camille Simon Simon Chane, Michel Jordan. Les outils de l'apprentissage profond au service de l'évaluation et de la conservation des archives. Conservation-restauration des biens culturels, Association des Restaurateurs d’Art et d’Archéologie de Formation Universitaire (ARAAFU) 2022, pp.7-16. ⟨hal-03620940⟩

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