Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Leonardo Chaves Dutra Da Rocha"'
Autor:
Eduardo Villela de Moraes, Magda Carvalho Pires, Amanda Abrantes Abreu Costa, Aline Gabrielle Sousa Nunes, Caroline Lopes de Amorim, Euler Roberto Fernandes Manenti, Fernanda Barbosa Lucas, Fernanda d’Athayde Rodrigues, Fernando Anschau, Guilherme Fonseca do Nascimento, Giovanna Grunewald Vietta, Jessica Fernandes Benavides Moreira, Karen Brasil Ruschel, Monica Aparecida Costa, Pamela Andrea Alves Duraes, Pedro Augusto Van Der Sand Germani, Priscilla Pereira dos Reis, Rochele Mosmann Menezes, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Unaí Tupinambas, Milena Soriano Marcolino
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background COVID-19 vaccines effectively prevent infection and hospitalization. However, few population-based studies have compared the clinical characteristics and outcomes of patients hospitalized for COVID-19 using advanced statistical me
Externí odkaz:
https://doaj.org/article/2fb91e739609409e8911c7e4a36933b0
Autor:
Bruno Paiva, Marcos André Gonçalves, Leonardo Chaves Dutra da Rocha, Milena Soriano Marcolino, Fernanda Cristina Barbosa Lana, Maira Viana Rego Souza-Silva, Jussara M Almeida, Polianna Delfino Pereira, Claudio Moisés Valiense de Andrade, Angélica Gomides dos Reis Gomes, Maria Angélica Pires Ferreira, Frederico Bartolazzi, Manuela Furtado Sacioto, Ana Paula Boscato, Milton Henriques Guimarães-Júnior, Priscilla Pereira dos Reis, Felício Roberto Costa, Alzira de Oliveira Jorge, Laryssa Reis Coelho, Marcelo Carneiro, Thaís Lorenna Souza Sales, Silvia Ferreira Araújo, Daniel Vitório Silveira, Karen Brasil Ruschel, Fernanda Caldeira Veloso Santos, Evelin Paola de Almeida Cenci, Luanna Silva Monteiro Menezes, Fernando Anschau, Maria Aparecida Camargos Bicalho, Euler Roberto Fernandes Manenti, Renan Goulart Finger, Daniela Ponce, Filipe Carrilho de Aguiar, Luiza Margoto Marques, Luís César de Castro, Giovanna Grünewald Vietta, Mariana Frizzo de Godoy, Mariana do Nascimento Vilaça, Vivian Costa Morais
Publikováno v:
JMIR Medical Informatics, Vol 12, p e54246 (2024)
BackgroundProper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services and revealing the impacts of new technologies and treatments. Understanding the substantial impact of temporal shifts in
Externí odkaz:
https://doaj.org/article/b2c0e6bc40374f349b91cb8a5eb66433
Autor:
Heitor Werneck, Nicollas Campos Silva, Carlos Masao Mito, Adriano César Machado Pereira, Diego Roberto Colombo Dias, Elisa Tuler De Albergaria, Leonardo Chaves Dutra Da Rocha
Publikováno v:
Proceedings of the Brazilian Symposium on Multimedia and the Web.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd12a6acc17df2d7b7d62c6bdb23386c
https://doi.org/10.1145/3539637.3557058
https://doi.org/10.1145/3539637.3557058
Autor:
Antônio Pereira De Souza Júnior, Pablo Cecilio, Felipe Viegas, Washington Cunha, Elisa Tuler De Albergaria, Leonardo Chaves Dutra Da Rocha
Publikováno v:
Proceedings of the Brazilian Symposium on Multimedia and the Web.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38074746dd871e2edadbc715c403bf25
https://doi.org/10.1145/3539637.3557052
https://doi.org/10.1145/3539637.3557052
Autor:
Brenno Lemos Melquiades Santos, Elisa Tuler De Albergaria, Diego Roberto Colombo Dias, Alexandre Bittencourt Pigozzo, Leonardo Chaves Dutra Da Rocha
Publikováno v:
Proceedings of the Brazilian Symposium on Multimedia and the Web.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c908fce44759a463a528ae9ae9b8c92d
https://doi.org/10.1145/3539637.3557059
https://doi.org/10.1145/3539637.3557059
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4138d7de30adac37f59d7d4f8a3fdb34
Autor:
Tiago Trotta Lara Barbosa, Marcelo de Paiva Guimarães, Alexandre Fonseca Brandão, Leonardo Chaves Dutra da Rocha, Rogerio Luiz Iope, José Remo Ferreira Brega, Diego Roberto Colombo Dias
Publikováno v:
Symposium on Virtual and Augmented Reality.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69275b0ed5adb7772d168e640082c840
https://doi.org/10.1145/3488162.3488225
https://doi.org/10.1145/3488162.3488225
Autor:
de Moraes, Eduardo Villela1 (AUTHOR) eduardohmob@gmail.com, Pires, Magda Carvalho2 (AUTHOR), Costa, Amanda Abrantes Abreu1 (AUTHOR), Nunes, Aline Gabrielle Sousa3 (AUTHOR), de Amorim, Caroline Lopes4 (AUTHOR), Manenti, Euler Roberto Fernandes5,6 (AUTHOR), Lucas, Fernanda Barbosa7 (AUTHOR), Rodrigues, Fernanda d'Athayde8 (AUTHOR), Anschau, Fernando9,10 (AUTHOR), do Nascimento, Guilherme Fonseca11 (AUTHOR), Vietta, Giovanna Grunewald12 (AUTHOR), Moreira, Jessica Fernandes Benavides13 (AUTHOR), Ruschel, Karen Brasil5,6,14 (AUTHOR), Costa, Monica Aparecida15 (AUTHOR), Duraes, Pamela Andrea Alves16 (AUTHOR), Van Der Sand Germani, Pedro Augusto17 (AUTHOR), dos Reis, Priscilla Pereira18 (AUTHOR), Menezes, Rochele Mosmann19 (AUTHOR), da Rocha, Leonardo Chaves Dutra11,20 (AUTHOR), Gonçalves, Marcos André21 (AUTHOR)
Publikováno v:
BMC Infectious Diseases. 9/27/2024, Vol. 24 Issue 1, p1-12. 12p.
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
Due to the increasing amount of information being stored and accessible throughthe Web, Automatic Document Classification (ADC) has become an important research topic. ADC usually employs a supervised learning strategy, where we first build a classif
Externí odkaz:
http://hdl.handle.net/1843/SLSS-7WCQEY
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UFMGUniversidade Federal de Minas GeraisUFMG.
Web services are becoming a standard for deploying a large spectrum of applications using the Internet. One example of such application is data mining, which aims to extract useful information from large sets of data. A successful data mining service
Externí odkaz:
http://hdl.handle.net/1843/SLBS-6GUL2M