Zobrazeno 1 - 10
of 725
pro vyhledávání: '"Teófilo, E"'
Autor:
de Araujo, Pedro H. Luz, de Almeida, Ana Paula G. S., Braz, Fabricio A., da Silva, Nilton C., Vidal, Flavio de Barros, de Campos, Teofilo E.
Publikováno v:
International Journal on Document Analysis and Recognition.2022
The Brazilian Supreme Court receives tens of thousands of cases each semester. Court employees spend thousands of hours to execute the initial analysis and classification of those cases -- which takes effort away from posterior, more complex stages o
Externí odkaz:
http://arxiv.org/abs/2207.00748
Publikováno v:
História, Ciências, Saúde: Manguinhos, Vol 8, Iss 1, Pp 286-289 (2001)
Externí odkaz:
https://doaj.org/article/61c21307e6ab473890bca0449aaea436
Autor:
João Luiz Xavier Castaldi
Publikováno v:
Letras: Representações, construções e textualidades
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55646d8d7d4f36076cb88121317eb6c7
https://doi.org/10.22533/at.ed.84521070610
https://doi.org/10.22533/at.ed.84521070610
In this paper, we evaluate the effects of occlusions in the performance of a face recognition pipeline that uses a ResNet backbone. The classifier was trained on a subset of the CelebA-HQ dataset containing 5,478 images from 307 classes, to achieve t
Externí odkaz:
http://arxiv.org/abs/2109.09083
In the world where big data reigns and there is plenty of hardware prepared to gather a huge amount of non structured data, data acquisition is no longer a problem. Surveillance cameras are ubiquitous and they capture huge numbers of people walking a
Externí odkaz:
http://arxiv.org/abs/2106.15693
Autor:
Zosa, Teofilo E.
Deep learning has made a remarkable impact in the field of natural image processing over the past decade. Consequently, there is a great deal of interest in replicating this success across unsolved tasks in related domains, such as medical image anal
Externí odkaz:
http://arxiv.org/abs/2103.14969
Unsupervised Domain Adaptation (UDA) methods for person Re-Identification (Re-ID) rely on target domain samples to model the marginal distribution of the data. To deal with the lack of target domain labels, UDA methods leverage information from label
Externí odkaz:
http://arxiv.org/abs/2101.01215
Autor:
de Lucena Drumond, Patricia Medyna Lauritzen, Leite, Lindeberg Pessoa, de Campos, Teofilo E., Braz, Fabricio Ataides
Publikováno v:
In Engineering Applications of Artificial Intelligence June 2023 122
Autor:
Guth, Fred, deCampos, Teofilo E.
In this paper we approach the problem of skin lesion segmentation using a convolutional neural network based on the U-Net architecture. We present a set of training strategies that had a significant impact on the performance of this model. We evaluat
Externí odkaz:
http://arxiv.org/abs/1811.11314
Autor:
Pedro L; Department of Internal Medicine, Hospital de Portimão, Centro Hospitalar Universitário Do Algarve, Portimão, Portugal., Zagalo A; Department of Infectious Diseases, Hospital Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisboa, Portugal., Tavares R; Department of Infectiology, Hospital Beatriz Ângelo, Loures, Portugal., Pacheco P; Department of Infectiology, Hospital Prof. Dr Fernando da Fonseca, Amadora, Portugal., Oliveira J; Department of Infectiology, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal., Vaz Pinto I; Department of Internal Medicine, Hospital de Cascais, Cascais, Portugal., Serrão R; Department of Infectious Diseases, Hospital de São João, Centro Hospitalar Universitário de São João, Porto, Portugal., Tavares S; Department of Infectiology, Hospital de Vila Real, Centro Hospitalar Trás-os-Montes e Alto Douro, Vila Real, Portugal., Brito P; Department of Infectiology, Hospital Garcia de Orta, Almada, Portugal., Maltez F; Department of Infectiology, Hospital Curry Cabral, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal., Neves I; Department of Infectiology, Hospital Pedro Hispano, Unidade Local de Saúde de Matosinhos, Matosinhos, Portugal., Carvalho A; Department of Internal Medicine, Hospital de Braga, Braga, Portugal., Teófilo E; Department of Internal Medicine, Hospital dos Capuchos, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal., Almeida J; Medical Affairs Department, MSD Portugal, Paço de Arcos, Portugal., Lains I; Medical Affairs Department, MSD Portugal, Paço de Arcos, Portugal.
Publikováno v:
International journal of STD & AIDS [Int J STD AIDS] 2024 Oct; Vol. 35 (11), pp. 873-883. Date of Electronic Publication: 2024 Jul 25.