Gallery Items tagged Portuguese
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Multilingual "Thank-You"
Since my research is related to multilingual dictionaries, I have the excuse of using this TikZ drawing of multilingual "thank you's" at the end of my presentations.
It had the advantage/disadvantage of distracting the audience enough from raising nit-picking, asked-just-for-sake-for-asking types of questions. :-)
If compiling this takes too long, the best way to use this is probably to use the result PDF directly via e.g. \includegraphics[page=1]{multiling-tq.pdf}
BTW -- can you spot the two fictional languages? :-)
LianTze Lim

Dissertação/Tese UFSCar Template
Modelo para dissertação/tese da UFSCar
José A. Salim

MsC, PhD Tese UTAD
Modelo de documento para Dissertacao/Tese de Mestrado/Doutoramento em Engenharia Electrotecnica e de Computadores.
Raul Morais, 2007 - 2008
Manuel Cabral, 2008
Antonio Valente, 2004-2018
Antonio Valente

Modelo Tese de Mestrado/Douturado DCC-UFMG
Cópia do modelo que se encontra no site do DCC.
Manoel Horta Ribeiro

Dissertação/Projeto - Engenharia Informática do IPB
Template para a escrita de dissertação de MSI ou relatório de projeto de EI da ESTiG.
Rui Lopes

Relatório Técnico - Instituto Modal
Criado a partir da classe abntex2, desenvolvida pelo
Centro de Pesquisa em Arquitetura da Informação (CPAI)
Bruno Souza

Plano Individual de Pesquisa - Instituto Modal
PLANO DE PESQUISA INDIVIDUAL
Criado a partir da classe abntex2, desenvolvida pelo
Centro de Pesquisa em Arquitetura da Informação (CPAI)
Bruno Souza

Qualificação - Reconhecimento de Cenários baseado nas Localizações dos Fornecedores do Governo Federal
In most corruption scandals, the use of front companies for money laundering is almost ubiquitous. This work proposes to apply image classification to detect such organizations, through the use of Convolutional Neural Networks (CNN), namely the AlexNet architecture. The images are obtained by address search in Google Street View API, and the resulting classification will be further used along with other features to detect front com- panies in order to help the auditors from the Ministry of Transparency and Office of the Comptroller General (CGU, in Portuguese). To this moment, we applied classification to almost 15 thousand suppliers scenes with active contracts with the Brazilian Government until September 2016, obtained through data matching between the Government Purchases database and the Brazilian Federal Revenue Office database (more recent scenes should be added as this work progresses). Preliminary results with a pre-trained AlexNet CNN show the need for developing new scene classes more suited to the Brazilian context. In order to do this, we propose to apply clustering algorithms in features extracted from the last fully-connected layer of this net. The classes obtained will be used to fine-tune the AlexNet CNN for future classification, through the use of training from scratch or fine tuning techniques.
Rodrigo Peres Ferreira

Modelo Lista de Exercício (Matemática Autodidata)
Modelo criado por mim para manutenção de meu site:
matematicautodidata.com
Mauro Nigro