Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Gustavo Rodrigues Lacerda Silva"'
Autor:
Adriano Chaves Lisboa, Felipe Pereira, Fellipe Fernandes Goulart Dos Santos, Lidia Caroline A. Pereira Da Silva, Airton Isaac Pereira, Matheus de Oliveira Mendonca, Gustavo Rodrigues Lacerda Silva, Lais Claudine Schiavo Gomes, Douglas Alexandre Gomes Vieira
Publikováno v:
IEEE Access, Vol 12, Pp 137105-137111 (2024)
Assessing the financial risks is an essential component of portfolio management. This assessment involves the employment of one or more risk measures, i.e., quantitative coefficients employed to capture how risky a portfolio is. As the risk measures
Externí odkaz:
https://doaj.org/article/417559247626419bab70943e496e9c94
Autor:
Gustavo Rodrigues Lacerda Silva, Rafael Ribeiro De Medeiros, Brayan Rene Acevedo Jaimes, Carla Caldeira Takahashi, Douglas Alexandre Gomes Vieira, Antonio De Padua Braga
Publikováno v:
IEEE Access, Vol 5, Pp 27263-27271 (2017)
This paper presents a new clustering algorithm, the GPIC, a graphics processing unit (GPU) accelerated algorithm for power iteration clustering (PIC). Our algorithm is based on the original PIC proposal, adapted to take advantage of the GPU architect
Externí odkaz:
https://doaj.org/article/8a482fd8f0b94d1f8109255913798040
Autor:
Pedro Henrique Feres Campos, Tomás Barroso Fernandes Tamantini, Israel Filipe Silva Amaral, Matheus de Oliveira Mendonça, Gustavo Rodrigues Lacerda Silva, Geraldo José Duarte, Milton Carlos Abel Pires, Wilian Lopes Santos, Bruno da Silva Breder, Nivaldo Ulisses Agostinho
Publikováno v:
ABM Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb6b19ef26543d9544fcdd27c7f02cc
https://doi.org/10.5151/2594-5335-34923
https://doi.org/10.5151/2594-5335-34923
Autor:
Antônio de Pádua Braga, Douglas A. G. Vieira, Rafael Ribeiro de Medeiros, Brayan Rene Acevedo Jaimes, Gustavo Rodrigues Lacerda Silva, Carla C. Takahashi
Publikováno v:
IEEE Access, Vol 5, Pp 27263-27271 (2017)
This paper presents a new clustering algorithm, the GPIC, a graphics processing unit (GPU) accelerated algorithm for power iteration clustering (PIC). Our algorithm is based on the original PIC proposal, adapted to take advantage of the GPU architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::caf3940675581b1a3f2e586e4e9aac6c
https://ieeexplore.ieee.org/document/8078163/
https://ieeexplore.ieee.org/document/8078163/
Publikováno v:
Repositório Institucional da UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
Este trabalho apresenta uma metodologia direcionada a problemas de agrupamentos com grandes volumes de dados. O objetivo ´e projetar algoritmos que tenham a capacidade de processar grandes volumes de dados sem a perda de qualidade do agrupamento. Do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::e80f85bb3c2dea9418485d5ba1b14902
Publikováno v:
EAIS
This paper proposes a training algorithm for fuzzy neural networks that can generate consistent and accurate models while adding some level of interpretation to applied problems. Learning is achieved through extreme learning machine concepts, allowin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bdb605bacc901dd62d58d3b33f10dbd
https://doi.org/10.1109/eais.2018.8397176
https://doi.org/10.1109/eais.2018.8397176
Autor:
Antônio de Pádua Braga, Luiz C. B. Torres, Gustavo Rodrigues Lacerda Silva, Cristiano Leite de Castro, Brayan A. James
Publikováno v:
Proceeding XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfb8c76b9cb9c2e0d2d27d45888d9650
https://doi.org/10.21528/cbic2017-23
https://doi.org/10.21528/cbic2017-23
Autor:
Juan Camilo Fonseca-Galindo, Luiz C. B. Torres, Antônio de Pádua Braga, Paulo Cirino Ribeiro Neto, Gustavo Rodrigues Lacerda Silva
Publikováno v:
Proceedings XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d77a76dad24d1c6fb21819c6a0dffd4
https://doi.org/10.21528/cbic2017-39
https://doi.org/10.21528/cbic2017-39
Publikováno v:
Proceeding XIII Brazilian Congress on Computational Inteligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1090b0746966fac3a4d89c40a0504028
https://doi.org/10.21528/cbic2017-56
https://doi.org/10.21528/cbic2017-56
Autor:
Rafael Ribeiro de Medeiros, Fabrício Benevenuto, Olga Goussevskaia, Lucas Machado de Oliveira, Gustavo Rodrigues Lacerda Silva
Publikováno v:
WI
In this paper we build and characterize a large-scale dataset of internet radio streams. More than 25 million snapshots of more than 75 thousand different radio stations were collected from the SHOUTcast service between December 2016 and April 2017.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae936fdec71e135070855e1da1870df4
https://doi.org/10.1145/3106426.3106540
https://doi.org/10.1145/3106426.3106540