Zobrazeno 1 - 10
of 32 008
pro vyhledávání: '"Ribeiro, A. De A."'
Autor:
Tatiana Massaro
Publikováno v:
Mana, Vol 29, Iss 2 (2023)
Resumo Em 2019, a antropóloga Berta Ribeiro (1924-1997) foi homenageada com um vestido. Através do tributo pouco comum, procuramos mostrar como a roupa que a homenageia carrega relações e histórias da trajetória e da obra de Berta. Pretende-se
Externí odkaz:
https://doaj.org/article/4550ad887c674699931956c3b98630a1
Akademický článek
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Autor:
Jones, Charles, Ribeiro, Fabio de Sousa, Roschewitz, Mélanie, Castro, Daniel C., Glocker, Ben
We investigate the prominent class of fair representation learning methods for bias mitigation. Using causal reasoning to define and formalise different sources of dataset bias, we reveal important implicit assumptions inherent to these methods. We p
Externí odkaz:
http://arxiv.org/abs/2410.04120
Contrastive pretraining can substantially increase model generalisation and downstream performance. However, the quality of the learned representations is highly dependent on the data augmentation strategy applied to generate positive pairs. Positive
Externí odkaz:
http://arxiv.org/abs/2409.10365
Autor:
Peng, Wei, Xia, Tian, Ribeiro, Fabio De Sousa, Bosschieter, Tomas, Adeli, Ehsan, Zhao, Qingyu, Glocker, Ben, Pohl, Kilian M.
The number of samples in structural brain MRI studies is often too small to properly train deep learning models. Generative models show promise in addressing this issue by effectively learning the data distribution and generating high-fidelity MRI. H
Externí odkaz:
http://arxiv.org/abs/2409.05585
Autor:
Editor REA
Publikováno v:
Revista Espaço Acadêmico, Vol 21, Iss 230, Pp 407-411 (2021)
Prefácio: Profa. Dra. HELOISA DE FARIA CRUZ (PUC-SP). Obra patrocinada pelo Centro de Documentação e Pesquisa Vergueiro (CPV)
Externí odkaz:
https://doaj.org/article/57e8b476e6324306a6713608f5e81a0d
Autor:
Kori, Avinash, Locatello, Francesco, Santhirasekaram, Ainkaran, Toni, Francesca, Glocker, Ben, Ribeiro, Fabio De Sousa
Learning modular object-centric representations is crucial for systematic generalization. Existing methods show promising object-binding capabilities empirically, but theoretical identifiability guarantees remain relatively underdeveloped. Understand
Externí odkaz:
http://arxiv.org/abs/2406.07141
Causal generative modelling is gaining interest in medical imaging due to its ability to answer interventional and counterfactual queries. Most work focuses on generating counterfactual images that look plausible, using auxiliary classifiers to enfor
Externí odkaz:
http://arxiv.org/abs/2403.09422
Contrastive pretraining is well-known to improve downstream task performance and model generalisation, especially in limited label settings. However, it is sensitive to the choice of augmentation pipeline. Positive pairs should preserve semantic info
Externí odkaz:
http://arxiv.org/abs/2403.09605
Autor:
Francisco Roque de Oliveira
Publikováno v:
Investigaciones Geográficas, Iss 100, Pp 1-26 (2019)
El geógrafo portugués Orlando Ribeiro participó en la Conferencia Regional Latinoamericana de la Unión Geográfica Internacional (UGI), que se realizó en México en 1966, para la cual preparó una comunicación acerca de paisajes rurales compara
Externí odkaz:
https://doaj.org/article/5325dd1f52f5469b8e057f63392554d0