Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Daniel Henrique Mourão Falci"'
Autor:
Samuel Henrique Falci, Fabiano Azevedo Dorça, Alessandro Vivas Andrade, Daniel Henrique Mourão Falci
Publikováno v:
Smart Learning Environments, Vol 7, Iss 1, Pp 1-17 (2020)
Abstract The recommendation of learning objects in virtual learning environments has become the focus of research to improve online learning experience. Several approaches have been presented in an attempt to model the individual characteristics of t
Externí odkaz:
https://doaj.org/article/ac4d969e6b3d4849a2b0721a47c0a5d1
Autor:
Fernando Silva Parreiras, Vitor Afonso Pinto, Marco Antônio Calijorne Soares, Daniel Henrique Mourão Falci
Publikováno v:
Ciência da Informação, Vol 46, Iss 1 (2017)
For many years, plant engineers have used data collected from industrial sensors for supporting the diagnosis of failures. Recently, data scientists are using these data to make predictions on industrial processes. However, the meaning and the relati
Externí odkaz:
https://doaj.org/article/5b6b58eac8bf4695a524bf955bf36724
Publikováno v:
Smart Learning Environments, Vol 7, Iss 1, Pp 1-17 (2020)
ICALT
ICALT
The recommendation of learning objects in virtual learning environments has become the focus of research to improve online learning experience. Several approaches have been presented in an attempt to model the individual characteristics of the studen
Autor:
Daniel Henrique Mourão Falci, Frederico Giffoni de Carvalho Dutra, Matheus de Oliveira Salim, H. F. S. Portugues, Fernando Silva Parreiras, Wladmir Cardoso Brandão, Eric de Paula Ferreira, Vinícius Ferreira Salgado, Fabrício Ziviani, Luciano Dias Ferreira, B. P. Guimarães, Diego Bernardes de Lima Santos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1331c8c9ac52d16562882a7e2e59df5
https://doi.org/10.24824/978655578635.4
https://doi.org/10.24824/978655578635.4
Autor:
Wladmir Cardoso Brandão, Fernando Silva Parreiras, Daniel Henrique Mourão Falci, Vinícius Ferreira Salgado, Matheus de Oliveira Salim
Publikováno v:
SEKE
Autor:
Fernando Silva Parreiras, Daniel Henrique Mourão Falci, Wladmir Cardoso Brandão, Marco Antônio Calijorne Soares
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302436
EPIA (2)
EPIA (2)
Semantic Role Labeling is the task of automatically detecting the semantic role played by words or phrases in a sentence. There is a small number of studies dedicated to Semantic Role Labeling in the Portuguese language, and the obtained performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e2232353d286a835a4d071c3586ceb
https://doi.org/10.1007/978-3-030-30244-3_56
https://doi.org/10.1007/978-3-030-30244-3_56