Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Macedo, Hendrik Teixeira"'
Autor:
S. Soares, Gabriel Anísio, P. Prado, Bruno Otávio, Ferreira da Silva, Gilton José, Macedo, Hendrik Teixeira, Matos, Leonardo Nogueira
Publikováno v:
Computing & System Journal (C&S) / Revista de Sistemas e Computação (RSC); jul-dez2018, Vol. 8 Issue 2, p511-524, 14p
Publikováno v:
2016 8th Euro American Conference on Telematics & Information Systems (EATIS); 2016, p1-5, 5p
Autor:
Santos, Flavio Arthur O., de Jesus, Galileu Santos, Botelho, Glauber Andrade, Macedo, Hendrik Teixeira
Publikováno v:
2016 8th Euro American Conference on Telematics & Information Systems (EATIS); 2016, p1-4, 4p
Autor:
Santos, Flávio Arthur O., Júnior, Carlos Augusto E. M., Macedo, Hendrik Teixeira, Chella, Marco T., do Nascimento Givigi, Rosana C., Barbosa, Luciano
Publikováno v:
Medinfo; 2015, p589-593, 5p
Publikováno v:
Advances in Artificial Intelligence - SBIA 2012; 2012, p192-201, 10p
Autor:
Almeida, Thiago da Silva
Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Traffic light detection and recognition research has grown every year. In addition to this, Machine Learning have been largely used not only in traffic light research but in every field that it is useful and possible to generalize data and automatize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::1f5fd170bc568b1662de003dcc296693
http://ri.ufs.br/jspui/handle/riufs/10771
http://ri.ufs.br/jspui/handle/riufs/10771
Autor:
Santos, Denisson Santana dos
Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
The number and variety of mobile devices have increased so much nowadays, as well as the number of platforms on the market, from different manufacturers, operating systems and programming languages. To keep up with this increase, developers, aimming
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8c4313bae8f58d4832bd8fc9b825ab90
http://ri.ufs.br/jspui/handle/riufs/10685
http://ri.ufs.br/jspui/handle/riufs/10685
Autor:
Sousa, Davy Oliveira Barros
Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES Performing cell tracking is important for curing and preventing diseases. This is due to the fact that cellular motility is linked to several cellular processes. However, perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8ba69e3726830793c7f2d9a7a1cddb60
http://ri.ufs.br/jspui/handle/riufs/10782
http://ri.ufs.br/jspui/handle/riufs/10782
Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Fundação de Apoio a Pesquisa e à Inovação Tecnológica do Estado de Sergipe - FAPITEC/SE Word representations are important for many Natural Language Processing (NLP) tasks. Obtaining good representations is essential since most machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::cbc22f1f31397d31710fc47636b8732b
http://ri.ufs.br/jspui/handle/riufs/11230
http://ri.ufs.br/jspui/handle/riufs/11230
Autor:
Melo, Fabrício Silva
Publikováno v:
Repositório Institucional da UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Universidade Federal de Sergipe (UFS)
instacron:UFS
Relation extraction is the task of extracting relation between named entities from natural language texts. This work presents an information extraction technique for extracting relation with convoluted neural networks trained for the recognition of s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::e113610500a57a3dda6ddcd0551b7918
http://ri.ufs.br/jspui/handle/riufs/10677
http://ri.ufs.br/jspui/handle/riufs/10677