Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Paulo Henrique Ribeiro Gabriel"'
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
Um dos maiores desafios envolvidos no projeto de grades computacionais é o escalonamento de processos, o qual consiste no mapeamento de processos sobre os computadores disponíveis, a fim de reduzir o tempo de execução de aplicações ou maximizar
Publikováno v:
Biblioteca Digital de Teses e Dissertações da USPUniversidade de São PauloUSP.
A predição de estruturas de proteínas (Protein Structure Prediction PSP) é um problema computacionalmente complexo. Para tratar esse problema, modelos simplificados de proteínas, como o Modelo HP, têm sido empregados para representar as conform
Autor:
Murillo Guimarães Carneiro, Bruna Luiza Dutra, José Gustavo S. Paiva, Paulo Henrique Ribeiro Gabriel, Rafael Dias Araújo
Publikováno v:
Revista Brasileira de Informática na Educação. 30:379-395
Several works in the literature emphasized data mining as efficient tools to identify factors related to retention and dropout in higher education. However, most of these works do not discuss if (or how) such factors may effectively contribute to dec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64dfde488ebaaa974f701935bfd0f938
https://doi.org/10.5753/rbie.2022.2518
https://doi.org/10.5753/rbie.2022.2518
Publikováno v:
Revista Brasileira de Computação Aplicada. 12:122-133
Several factors may influence the security vulnerability discovery rates. The projection of these rates might help the development and the prioritization of software patches. Previous work studied the seasonal behaviors of the vulnerability discovery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c1a7e0a4ad771468d94bc7e7d2cd160
https://doi.org/10.5335/rbca.v12i2.10665
https://doi.org/10.5335/rbca.v12i2.10665
Autor:
Telma Woerle de Lima, Antonio Caliri, Fernando Luis Barroso da Silva, Renato Tinos, Gonzalo Travieso, Ivan Nunes da Silva, Paulo Sergio Lopes de Souza, Eduardo Marques, Alexandre Claudio Botazzo Delbem, Vanderlei Bonatto, Rodrigo Faccioli, Christiane Regina Soares Brasil, Paulo Henrique Ribeiro Gabriel, Vinicius Tragante do O, Daniel Rodrigo Ferraz Bonetti
Publikováno v:
Evolutionary Computation
Many essential functions for life are performed by proteins and the study of their structures yields the ability to elucidate these functions in terms of a molecular view. (Creighton, 1992; Devlin, 1997) The interest in discovering a methodology for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9120c702cbdce8f9fdebc5a9b3c15896
http://www.intechopen.com/articles/show/title/some-modeling-issues-for-protein-structure-prediction-using-evolutionary-algorithms
http://www.intechopen.com/articles/show/title/some-modeling-issues-for-protein-structure-prediction-using-evolutionary-algorithms
Publikováno v:
Electronic Government and the Information Systems Perspective ISBN: 9783030866105
EGOVIS
EGOVIS
Brazil’s social security reform, approved in 2019, moved several social networks, revealing the high polarity of this theme. In this paper, we perform an automatic investigation of this polarity using sentiment analysis techniques. We collected 980
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4aab852b4681791ec68b370f850b0b0
https://doi.org/10.1007/978-3-030-86611-2_11
https://doi.org/10.1007/978-3-030-86611-2_11
Publikováno v:
Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2019).
This paper reports a systematic review of the literature about genetic algorithms applied to the multiprocessor task scheduling problem. After defining a protocol with the main rules of this review, the research was performed considering journal pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0fc9387d27c458a42f52c8553e4c4cc
https://doi.org/10.5753/eniac.2019.9288
https://doi.org/10.5753/eniac.2019.9288
Publikováno v:
GECCO
Hierarchical Classification (HC) consists of assigning an instance to multiple classes simultaneously in a hierarchical structure containing dozens or even hundreds of classes. A field that greatly benefits from HC is Bioinformatics, in which interpr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac4e8eb64db53d230dd8386560932590
https://doi.org/10.1145/3321707.3321863
https://doi.org/10.1145/3321707.3321863
Publikováno v:
Progress in Artificial Intelligence ISBN: 9783030302405
EPIA (1)
EPIA (1)
Most of the related works in Machine Learning (ML) are concerned with Flat Classification, in which an instance is often associated with one class within a small set of classes. However, in some cases, instances have to be assigned to many classes si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4743ae2cb1f6167c0fb3fe0562c5c78
https://doi.org/10.1007/978-3-030-30241-2_61
https://doi.org/10.1007/978-3-030-30241-2_61
Publikováno v:
Computation
Volume 8
Issue 2
Computation, Vol 8, Iss 26, p 26 (2020)
Volume 8
Issue 2
Computation, Vol 8, Iss 26, p 26 (2020)
The multiprocessor task scheduling problem has received considerable attention over the last three decades. In this context, a wide range of studies focuses on the design of evolutionary algorithms. These papers deal with many topics, such as task ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e9a637675ba55111115e02e714fcb61
https://doi.org/10.3390/computation8020026
https://doi.org/10.3390/computation8020026