Conference Papers
Year : 2022
Nathalie GEY : Connect in order to contact the contributor
https://hal.univ-lorraine.fr/hal-03788345
Submitted on : Monday, September 26, 2022-2:18:19 PM
Last modification on : Tuesday, January 7, 2025-9:32:03 AM
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- HAL Id : hal-03788345 , version 1
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S. Breumier, Tomas Martinez Ostormujof, Nathalie Gey, Bianca Frincu, A. Couturier, et al.. Assessing the robustness of an EBSD-data-based U-Net model to classify phase transformation products in Steels. 1st World Congress on Artificial Intelligence in Materials and Manufacturing, Apr 2022, Pittsburgh, United States. ⟨hal-03788345⟩
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