Deep-vacuity: A Proposal of a Machine Learning Platform based on High-performance Computing Architecture for Insights on Government of Brazil Official Gazettes.
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%0 Conference Paper
%1 conf/webist/CarvalhoMCLDAV22
%A de Carvalho, Leonardo Rebouças
%A Mendes, Felipe L. S.
%A Chaves, Jefferson
%A Lima, Marcos C.
%A de Deus, Flavio Elias Gomes
%A Araújo, Aletéia P. F.
%A de Barros Vidal, Flavio
%B WEBIST
%D 2022
%E Decker, Stefan
%E Mayo, Francisco José Domínguez
%E Marchiori, Massimo
%E Filipe, Joaquim
%I SCITEPRESS
%K dblp
%P 136-143
%T Deep-vacuity: A Proposal of a Machine Learning Platform based on High-performance Computing Architecture for Insights on Government of Brazil Official Gazettes.
%U http://dblp.uni-trier.de/db/conf/webist/webist2022.html#CarvalhoMCLDAV22
%@ 978-989-758-613-2
@inproceedings{conf/webist/CarvalhoMCLDAV22,
added-at = {2022-11-14T00:00:00.000+0100},
author = {de Carvalho, Leonardo Rebouças and Mendes, Felipe L. S. and Chaves, Jefferson and Lima, Marcos C. and de Deus, Flavio Elias Gomes and Araújo, Aletéia P. F. and de Barros Vidal, Flavio},
biburl = {https://www.bibsonomy.org/bibtex/2901867e361fa37b50740f5c6f5b20ef4/dblp},
booktitle = {WEBIST},
crossref = {conf/webist/2022},
editor = {Decker, Stefan and Mayo, Francisco José Domínguez and Marchiori, Massimo and Filipe, Joaquim},
ee = {https://doi.org/10.5220/0011532500003318},
interhash = {70d307df53c0531c7f5b267d9fdcc4bc},
intrahash = {901867e361fa37b50740f5c6f5b20ef4},
isbn = {978-989-758-613-2},
keywords = {dblp},
pages = {136-143},
publisher = {SCITEPRESS},
timestamp = {2024-04-09T21:57:35.000+0200},
title = {Deep-vacuity: A Proposal of a Machine Learning Platform based on High-performance Computing Architecture for Insights on Government of Brazil Official Gazettes.},
url = {http://dblp.uni-trier.de/db/conf/webist/webist2022.html#CarvalhoMCLDAV22},
year = 2022
}