Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Camila Alves Dias"'
Autor:
Jéssica C. S. Bueno, Camila Alves Dias, Graçaliz P. Dimuro, Eduardo N. Borges, Silvia S. C. Botelho, Viviane L. D. de Mattos, Humberto Bustince
Publikováno v:
Revista Brasileira de Computação Aplicada, Vol 11, Iss 1, Pp 80-87 (2019)
O crescente aumento do volume de dados, juntamente com a alta complexidade destes, tem gerado a necessidade de se desenvolver técnicas de extração de conhecimento cada vez mais eficientes, tanto em custo computacional quanto em precisão. A maiori
Externí odkaz:
https://doaj.org/article/9389c721c9614618917368205516a6f7
Autor:
Camila Alves Dias, Viviane Leite Dias de Mattos, Humberto Bustince, Jéssica C. S. Bueno, Graçaliz Pereira Dimuro, Eduardo Nunes Borges, Silvia Silva da Costa Botelho
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Revista Brasileira de Computação Aplicada, Vol 11, Iss 1, Pp 80-87 (2019)
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
instname
Revista Brasileira de Computação Aplicada, Vol 11, Iss 1, Pp 80-87 (2019)
Academica-e: Repositorio Institucional de la Universidad Pública de Navarra
Universidad Pública de Navarra
The increasing data volume, coupled with the high complexity of these data, has generated the need to develop increasingly efficient knowledge extraction techniques, both in computational cost and precision. Most of the problems that are addressed by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f42e2fd2bee57aaa8cc856762294294
https://hdl.handle.net/2454/35370
https://hdl.handle.net/2454/35370
Autor:
Humberto Bustince, Eduardo Nunes Borges, Giancarlo Lucca, Helida Santos, Jéssica C. S. Bueno, Graçaliz Pereira Dimuro, Camila Alves Dias, Silvia Silva da Costa Botelho, Paulo L. J. Drews-Jr, Eduardo Silva Palmeira
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030219192
The data volume expansion has generated the need to develop efficient knowledge extraction techniques. Most problems that are processed by these techniques have complex information to be identified and use different machine learning methods, such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d89534a69630144b5eef3d48520fcb5
https://doi.org/10.1007/978-3-030-21920-8_21
https://doi.org/10.1007/978-3-030-21920-8_21
Autor:
Giancarlo Lucca, Humberto Bustince, Graçaliz Pereira Dimuro, Helida Santos, Eduardo Nunes Borges, Camila Alves Dias, Jéssica C. S. Bueno
Publikováno v:
EUSFLAT Conf.
The authors Camila Dias and Jessica Bueno thank CAPES for the financial support received. Gracaliz P. Dimuro has funding from CNPq/Brazil (process number 305882/20163). Eduardo N. Borges has funding from FAPERGS (TO 17/2551-0000872-3). Humberto Busti
Autor:
Graçaliz Pereira Dimuro, Camila Alves Dias, Silvia Silva da Costa Botelho, Paulo Lilles Jorge Drews Junior, Jéssica C. S. Bueno, Humberto Bustince, Javier Fernández, Eduardo Nunes Borges, Giancarlo Lucca
Publikováno v:
Communications in Computer and Information Science ISBN: 9783319953113
NAFIPS
NAFIPS
This paper aims to introduce the proposal of replacing the usual pooling functions by the Choquet integral in Deep Learning Networks. The Choquet integral is an aggregation function studied and applied in several areas, as, e.g., in classification pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed9dada51e230650f6076b425c108e2
https://doi.org/10.1007/978-3-319-95312-0_13
https://doi.org/10.1007/978-3-319-95312-0_13