Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Iosu Rodriguez-Martinez"'
Autor:
Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Benjamín Bedregal, José Antonio Sanz, Javier Fernandez, Iosu Rodriguez-Martinez, Radko Mesiar, Humberto Bustince
Publikováno v:
Information Sciences. 610:800-829
Autor:
Mikel Ferrero-Jaurrieta, Zdenko Takac, Iosu Rodriguez-Martinez, Cedric Marco-Detchart, Angela Bernardini, Javier Fernandez, Carlos Lopez-Molina, Humberto Bustince
Restricted equivalence functions are well-known functions to compare two numbers in the interval between 0 and 1. Despite the numerous works studying the properties of restricted equivalence functions and their multiple applications as support for di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ce849f4fa2e518ae0333bad3c17388f
https://hdl.handle.net/2454/45222
https://hdl.handle.net/2454/45222
Autor:
Tiago Asmus, Radko Mesiar, Eduardo Borges, Iosu Rodriguez Martinez, Jocivania Pinheiro, Giancarlo Lucca, Graçaliz Dimuro, Helida Santos, Humberto Bustince
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089701
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6089d50be0c8f1c79e7465bb0858f7e
https://doi.org/10.1007/978-3-031-08971-8_30
https://doi.org/10.1007/978-3-031-08971-8_30
Autor:
Iosu Rodriguez-Martinez, Julio Lafuente, Regivan H.N. Santiago, Graçaliz Pereira Dimuro, Francisco Herrera, Humberto Bustince
Publikováno v:
Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug. Repositorio Institucional de la Universidad de Granada
Traditionally, Convolutional Neural Networks make use of the maximum or arithmetic mean in order to reduce the features extracted by convolutional layers in a downsampling process known as pooling. However, there is no strong argument to settle upon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::769163169ea296a0b5e39c281405f8c6
https://hdl.handle.net/2454/43730
https://hdl.handle.net/2454/43730