ListarGI-M2NICA - Artigos por tema "Deep learning"
Mostrando ítems 1-2 de 2
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Boundary-safe PINNs extension: Application to non-linear parabolic PDEs in counterparty credit risk
(Elsevier B.V., 2023)[Abstract]: The goal of this work is to develop a novel strategy for the treatment of the boundary conditions for multi-dimension nonlinear parabolic PDEs. The proposed methodology allows to get rid of the heuristic choice ... -
End-To-End Multi-Task Learning for Simultaneous Optic Disc and Cup Segmentation and Glaucoma Classification in Eye Fundus Images
(Elsevier, 2022)[Abstract] The automated analysis of eye fundus images is crucial towards facilitating the screening and early diagnosis of glaucoma. Nowadays, there are two common alternatives for the diagnosis of this disease using deep ...