Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ana Maria de Carvalho Moura"'
Publikováno v:
IJCNN
This paper proposes a new ensemble method built upon a deep neural network architecture. We use a set of meteorological models for rain forecast as base predictors. Each meteorological model is provided to a channel of the network and, through a conv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95ac15fd58fbc13471031478b1f5ec4b
https://doi.org/10.1109/ijcnn.2018.8489693
https://doi.org/10.1109/ijcnn.2018.8489693
Autor:
Maira Poltosi, Daniele C. Palazzi, Macedo Sousa Maia, Regis Pires Magalhães, Vânia Maria Ponte Vidal, Fabio Porto, Ana Maria de Carvalho Moura
Publikováno v:
International Journal of Web Information Systems. 11:87-119
Purpose – The purpose of this paper is to present a four-level architecture that aims at integrating, publishing and retrieving ecological data making use of linked data (LD). It allows scientists to explore taxonomical, spatial and temporal ecolog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03cab6749ad3aced8065f7c54bf5a0a9
https://doi.org/10.1108/ijwis-08-2014-0028
https://doi.org/10.1108/ijwis-08-2014-0028
Publikováno v:
Journal of Database Management. 26:1-13
Computational Simulations are important tools that enable scientists to study complex phenomena about which few data is available or that require dangerous human interventions. They involve complex and heterogeneous components, including: mathematica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91670fa3b35a0feabcf6e2805d6889fb
https://doi.org/10.4018/jdm.2015040101
https://doi.org/10.4018/jdm.2015040101
Autor:
Yocie Yoneshigue Valentin, R. Zorrilla, Helena Passeri Lavrado, Adriana Galindo Dalto, Luiz M. R. Gadelha, Maira Poltosi, M. Tenório, Fábio Porto, Eduardo de Almeida Xavier, Ana Maria de Carvalho Moura
Publikováno v:
Scopus-Elsevier
Data Science Journal; Vol 13 (2014): Special Issue; PDA20-PDA26
Data Science Journal, Vol 13 (2014)
Data Science Journal; Vol 13 (2014): Special Issue; PDA20-PDA26
Data Science Journal, Vol 13 (2014)
Data generated by environmental research in Antarctica are essential in evaluating how its biodiversity and environment are affected by global-scale changes triggered by ever-increasing human activities. In this work, we describe BrAntIS, the Brazili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d1422ef6803d1dab6e30664cd24183
https://doi.org/10.2481/dsj.ifpda-04
https://doi.org/10.2481/dsj.ifpda-04
Autor:
Luis Eduardo Viveiros de Castro, Frederico C. da Silva, Fabio Porto, Adriana Bassini, Ana Maria de Carvalho Moura, Maira Poltosi, Luiz Claudio Cameron, Daniele C. Palazzi
Publikováno v:
Concurrency and Computation: Practice and Experience. 24:1497-1512
Sport science is a research discipline that aims to understand exercise and apply scientific methods in support of increasing an athlete's performance. In this paper, we present initial results on modeling, managing and analyzing an athlete's data ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c521234c635320c2854e0cfe013bdd6
https://doi.org/10.1002/cpe.1869
https://doi.org/10.1002/cpe.1869
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans. 40:1071-1082
Large organizations usually have difficulties in dealing with the exponential growth of information. Therefore, there is a high demand for innovative solutions to deal with such growth and to integrate such information. This paper proposes a new appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::363f6fba228ea4011380c29b35cb9526
https://doi.org/10.1109/tsmca.2010.2044880
https://doi.org/10.1109/tsmca.2010.2044880
Publikováno v:
Journal of the Brazilian Computer Society, Volume: 15, Issue: 1, Pages: 27-43, Published: MAR 2009
Journal of the Brazilian Computer Society v.15 n.1 2009
Journal of the Brazilian Computer Society
Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
Journal of the Brazilian Computer Society v.15 n.1 2009
Journal of the Brazilian Computer Society
Sociedade Brasileira de Computação (SBC)
instacron:UFRGS
Semantic portals are characterized for storing and structuring content according to specific domain ontologies. This content is represented through ontological languages, which enable not only adding semantic value to information treatment, but also
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ef291838ea5c28d5920cd7b8317d7d4
https://doi.org/10.1007/bf03192575
https://doi.org/10.1007/bf03192575
Publikováno v:
Anais do Brazilian e-Science Workshop (BreSci).
Uncertain time series analysis has recently become an important research topic, particularly when searching for features of natural phenomena using similarity functions. Natural phenomena are often modeled as time series, such as in weather forecast,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbfd420c3c46ed5b72e5e1ba26dcfd73
https://doi.org/10.5753/bresci.2015.7204
https://doi.org/10.5753/bresci.2015.7204
Autor:
Fabio Porto, Eric J. Simon, Asterio Kiyoshi Tanaka, Margareth Simoes, Ana Maria de Carvalho Moura, Rubens N. Melo, Françoise Fabret, Maria Cláudia Cavalcanti, Marta Mattoso, Luc Bouganim, Esther Pacitti, Patrick Valduriez, François Llirbat, Maria Luiza Machado Campos
Publikováno v:
Scopus-Elsevier
SIGMOD record
SIGMOD record, 2001, 30 (3), pp.70--75
SIGMOD record, ACM, 2001, 30 (3), pp.70--75
SIGMOD record
SIGMOD record, 2001, 30 (3), pp.70--75
SIGMOD record, ACM, 2001, 30 (3), pp.70--75
A very large number of data sources on environment, energy, and natural resources are available worldwide. Unfortunately, users usually face several problems when they want to search and use relevant information. In the Ecobase project, we address th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ad4390849b53e807806799cdae375e7
https://doi.org/10.1145/603867.603879
https://doi.org/10.1145/603867.603879
Publikováno v:
World Wide Web. 1:221-240
Metadata, or “information that makes data useful,” have been considered by the database community basically as data in dictionaries used to control database management systems operations. More recently, metadata have been used to describe digital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8117970c193a3086c8268791927d4435
https://doi.org/10.1023/a:1019228117935
https://doi.org/10.1023/a:1019228117935