Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Fernando Sancho-Caparrini"'
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4672 (2023)
Relational learning has attracted much attention from the machine learning community in recent years, and many real-world applications have been successfully formulated as relational learning problems. In recent years, several relational learning alg
Externí odkaz:
https://doaj.org/article/3921342ac51c44ca8b9ac244c05a4748
Autor:
Jose L. Salazar González, Carlos Zaccaro, Luis Miguel Soria Morillo, Juan Antonio Álvarez-García, Fernando Sancho Caparrini
Publikováno v:
Neural Networks. 132:297-308
Object detectors have improved in recent years, obtaining better results and faster inference time. However, small object detection is still a problem that has not yet a definitive solution. The autonomous weapons detection on Closed-circuit televisi
Publikováno v:
Handbook of Computational Social Science, Volume 2 ISBN: 9781003025245
Handbook of Computational Social Science, Volume 2
Handbook of Computational Social Science, Volume 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef99f9bb46dbdfdd4ae7b76eb5aff476
https://doi.org/10.4324/9781003025245-17
https://doi.org/10.4324/9781003025245-17
This work presents a methodology for the generation of novel 3D objects resembling wireframes of building types. These result from the reconstruction of interpolated locations within the learnt distribution of variational autoencoders (VAEs), a deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2badd5c145b361bcf603254f474f4512
https://aaltodoc.aalto.fi/handle/123456789/102113
https://aaltodoc.aalto.fi/handle/123456789/102113
Autor:
Fernando Sancho Caparrini
Publikováno v:
Universitas Humanística. 89
Este documento presenta, desde un punto de vista introductorio y orientado a no expertos en teoría de redes, los fundamentos de grafos y redes que permiten proyectar información sobre redes culturales en un contexto formal. Asimismo, describe algun
Autor:
Luis M. Soria-Morillo, Miguel A. Martínez-del-Amor, Fernando Sancho-Caparrini, Enrique J. López-Ortiz, Juan Antonio Álvarez-García
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible allows to generate early warn
In this paper, we are aiming to present a methodology for generation, manipulation and form finding of structural typologies using variational autoencoders, a machine learning model based on neural networks. We are giving a detailed description of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3685cd577377b43b84e054e4e70c67b1
https://aaltodoc.aalto.fi/handle/123456789/46516
https://aaltodoc.aalto.fi/handle/123456789/46516
Autor:
Fernando Sancho Caparrini, Juan Antonio Álvarez-García, Noelia Vallez, Oscar Deniz, Fernando Enríquez, Francisco Velasco, Luis Miguel Soria
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Lecture Notes in Computer Science ISBN: 9783030227494
ICCS (5)
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Lecture Notes in Computer Science ISBN: 9783030227494
ICCS (5)
Law enforcement agencies and private security companies work to prevent, detect and counteract any threat with the resources they have, including alarms and video surveillance. Even so, there are still terrorist attacks or shootings in schools in whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a73cd607641de2924dee5d03178a291
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
In this paper a new machine learning approach to the study of Multi-Relational Graphs as semantic data structures is presented. It shows how vector representations that maintain semantic and topological features of the original data can be obtained f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80fab961deff03b200be572ddb6115b5
Autor:
Javier Rivera De la Rosa, Natalia Caldas, Fernando Sancho-Caparrini, Juan Luis Suárez, David Brown, Élika Ortega
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
In this article we propose an approach to the study of art history based on geog-raphy of Hispanic Baroque art by digital means that showcase the multiplicity of possible places of art. Our study advances four elements of a digital geography of art (