Zobrazeno 1 - 10
of 692
pro vyhledávání: '"Silva, Santiago"'
Autor:
Sierra-Franco, Cesar A., Hurtado, Jan, Thomaz, Victor de A., da Cruz, Leonardo C., Silva, Santiago V., Raposo, Alberto B.
Mammography images are widely used to detect non-palpable breast lesions or nodules, preventing cancer and providing the opportunity to plan interventions when necessary. The identification of some structures of interest is essential to make a diagno
Externí odkaz:
http://arxiv.org/abs/2307.10296
Autor:
Cremonesi, Francesco, Vesin, Marc, Cansiz, Sergen, Bouillard, Yannick, Balelli, Irene, Innocenti, Lucia, Silva, Santiago, Ayed, Samy-Safwan, Taiello, Riccardo, Kameni, Laetita, Vidal, Richard, Orlhac, Fanny, Nioche, Christophe, Lapel, Nathan, Houis, Bastien, Modzelewski, Romain, Humbert, Olivier, Önen, Melek, Lorenzi, Marco
The real-world implementation of federated learning is complex and requires research and development actions at the crossroad between different domains ranging from data science, to software programming, networking, and security. While today several
Externí odkaz:
http://arxiv.org/abs/2304.12012
Autor:
Isabela Silva Santiago, Safira de Castro e Castro, Ana Paula Amaral de Brito, Daniel Sanches, Luiz Fernando Quintanilha, Katia de Miranda Avena, Bruno Bezerril Andrade
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Background Stress significantly affects both the physical and emotional health of individuals, particularly students in health-related fields. Medical students in Brazil face unique challenges due to the demanding nature of their studies, es
Externí odkaz:
https://doaj.org/article/7afa2774ce46487db7ef06b242f66f19
Autor:
Victor Schinaider Gaia da Cunha, Filipe da Silva Santiago, Gabriel Muhammad Ferreira, Gabriel Faria Coimbra, Luiz Felipe Oliveira Fernandes, Arthur José Soares Silva, Glória Regina da Silva e Sá, Maria Beatriz Assunção Mendes da Cunha
Publikováno v:
Brazilian Journal of Infectious Diseases, Vol 28, Iss , Pp 104416- (2024)
Introdução: A realização do pré-natal é um fator determinante para a redução da morbimortalidade materna e perinatal. Entretanto, estudos anteriores relataram que o acesso ao pré-natal não é uniforme na população, sendo necessário estab
Externí odkaz:
https://doaj.org/article/d07ce73dadb84ece802268ef8d2be944
Autor:
Terrail, Jean Ogier du, Ayed, Samy-Safwan, Cyffers, Edwige, Grimberg, Felix, He, Chaoyang, Loeb, Regis, Mangold, Paul, Marchand, Tanguy, Marfoq, Othmane, Mushtaq, Erum, Muzellec, Boris, Philippenko, Constantin, Silva, Santiago, Teleńczuk, Maria, Albarqouni, Shadi, Avestimehr, Salman, Bellet, Aurélien, Dieuleveut, Aymeric, Jaggi, Martin, Karimireddy, Sai Praneeth, Lorenzi, Marco, Neglia, Giovanni, Tommasi, Marc, Andreux, Mathieu
Federated Learning (FL) is a novel approach enabling several clients holding sensitive data to collaboratively train machine learning models, without centralizing data. The cross-silo FL setting corresponds to the case of few ($2$--$50$) reliable cli
Externí odkaz:
http://arxiv.org/abs/2210.04620
Publikováno v:
Opuntia Brava, Vol 16, Iss 2, Pp 343-355 (2024)
El abordaje de la obra musical de cualquier compositor es de incuestionable valor desde lo nacional y local, como conservación de la música y de los aportes de compositores de siglos anteriores, que ofrecen a los docentes y estudiantes de música,
Externí odkaz:
https://doaj.org/article/7140ba5be27142ec846ad5939856c091
Autor:
Camila Tenório Calazans de Lira, Ladyodeyse da Cunha Silva Santiago, Rafael do Santos Henrique, João Francisco Lins Brayner Rangel-Junior, Camilla Porto Campello, Marcos André Moura Santos
Publikováno v:
Sleep Science, Vol 17, Iss 02, Pp e134-e142 (2024)
Objective To compare the effects of strength training with load progression after 4 weeks on sleep parameters and mental health in college students.
Externí odkaz:
https://doaj.org/article/79df259c9b5b4a45ba7ee08e4471248d
Publikováno v:
Journal of Machine Learning for Biomedical Imaging. 2022:012. pp 1-36. Special Issue: Information Processing in Medical Imaging (IPMI) 2021
We propose a novel federated learning paradigm to model data variability among heterogeneous clients in multi-centric studies. Our method is expressed through a hierarchical Bayesian latent variable model, where client-specific parameters are assumed
Externí odkaz:
http://arxiv.org/abs/2204.07352
Publikováno v:
Al-Jabar, Vol 14, Iss 2, Pp 545-556 (2023)
Background: This study proposes an instructional method aimed at resolving arithmetic problems in mathematics. It is specifically tailored to assist educators in their initial mathematical training and to enhance classroom mathematics teaching throug
Externí odkaz:
https://doaj.org/article/8bb00cc3669f428c8b6576b7bd172578
Publikováno v:
Journal of Advanced Sciences and Mathematics Education, Vol 3, Iss 2, Pp 65-75 (2023)
Background: Augmented Reality (AR) integrates virtual objects with the real world on smartphone screens, creating a seemingly seamless blend of both. Aim: This research aimed to explore the use of AR in teaching geometric solids to final-year element
Externí odkaz:
https://doaj.org/article/4f51d40bdff243d2a8a6357a60ac2133