Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Diego Mellado"'
Publikováno v:
Archivos de Historia del Movimiento Obrero y la Izquierda, Iss 23 (2023)
Este artículo indaga los alcances de los discursos y prácticas naturistas y anarquistas, desentrañando los puntos de encuentro y desencuentro entre dos proyectos de transformación individual y colectiva que ponen en práctica una nueva forma de e
Externí odkaz:
https://doaj.org/article/d50d4f9d8f3a447c830954d5f8f6bfc5
Publikováno v:
Sensors, Vol 23, Iss 11, p 5184 (2023)
Multimodal emotion recognition implies the use of different resources and techniques for identifying and recognizing human emotions. A variety of data sources such as faces, speeches, voices, texts and others have to be processed simultaneously for t
Externí odkaz:
https://doaj.org/article/5876d9932b7f49afba57413c3011d1fd
Autor:
Romina Torres, Christopher Zurita, Diego Mellado, Orietta Nicolis, Carolina Saavedra, Marcelo Tuesta, Matías Salinas, Ayleen Bertini, Oneglio Pedemonte, Marvin Querales, Rodrigo Salas
Publikováno v:
Diagnostics, Vol 13, Iss 3, p 508 (2023)
Cardiovascular diseases represent the leading cause of death worldwide. Thus, cardiovascular rehabilitation programs are crucial to mitigate the deaths caused by this condition each year, mainly in patients with coronary artery disease. COVID-19 was
Externí odkaz:
https://doaj.org/article/bf7f883800cb439ea729d43e1067529f
Publikováno v:
Ge-conservación, Vol 11, Pp 272-277 (2017)
This paper describes the study case of the conservation of a new media artwork, Cannula, by Daniel Canogar (2016). This artwork combines and distorts videos downloaded from YouTube in order to create an oil-like live painting. Main new media conserva
Externí odkaz:
https://doaj.org/article/bede80c2746e4b5783258235b13253c4
Publikováno v:
Modelling and Simulation in Engineering, Vol 2018 (2018)
We propose an efficient computational method to obtain the fractional derivative of a digital signal. The proposal consists of a new interpretation of the Grünwald–Letnikov differintegral operator where we have introduced a finite Cauchy convoluti
Externí odkaz:
https://doaj.org/article/fdec82552d8f476182dd1ae330f6a744
Publikováno v:
Algorithms, Vol 12, Iss 10, p 206 (2019)
Deep learning models are part of the family of artificial neural networks and, as such, they suffer catastrophic interference when learning sequentially. In addition, the greater number of these models have a rigid architecture which prevents the inc
Externí odkaz:
https://doaj.org/article/4c1b6cc1d3d0445f9ed98cd0778b41f3
Autor:
Eduardo Godoy, Steren Chabert, Marvin Querales, Julio Sotelo, Denis Parra, Carlos Fernández, Diego Mellado, Alejandro Veloz, Scarlett Lever, Favian Pardo, Ayleen Bertini, Yomar Molina, Claudia Díaz, Rodrigo Ferreira, Rodrigo Salas
Publikováno v:
18th International Symposium on Medical Information Processing and Analysis.
Autor:
Joanna Phillips, Deena Engel, Lauren Cornell, Mark Hellar, Diego Mellado, Steven Sacks, Lena Stringari, Siebren Versteeg, Gaby Wijers
Publikováno v:
Conservation of Time-Based Media Art ISBN: 9781003034865
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31f5dc582b1836e4ec82f41bca862e90
https://doi.org/10.4324/9781003034865-20
https://doi.org/10.4324/9781003034865-20
Deep learning models are part of the family of artificial neural networks and, as such, it suffers of catastrophic interference when they learn sequentially. In addition, most of these models have a rigid architecture which prevents the incremental l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bb9ed39c87122602217ffaf2f33f07
Publikováno v:
Modelling and Simulation in Engineering, Vol 2018 (2018)
We propose an efficient computational method to obtain the fractional derivative of a digital signal. The proposal consists of a new interpretation of the Grünwald–Letnikov differintegral operator where we have introduced a finite Cauchy convoluti