Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Torrente-Patiño A"'
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
IntroductionThe sorting of sequences of images is crucial for augmenting user engagement in various virtual commercial platforms, particularly within the real estate sector. A coherent sequence of images respecting room type categorization significan
Externí odkaz:
https://doaj.org/article/bb07cb84b0444b1ea71508854c337867
Autor:
Iria Santos, Miguel A. Casal, João Correia, Álvaro Torrente-Patiño, Penousal Machado, Juan Romero
Publikováno v:
Complexity, Vol 2024 (2024)
In recent years, the development of metrics to evaluate image aesthetics and photographic quality has proliferated. However, validating these metrics presents challenges due to the inherently subjective nature of aesthetics and photographic quality,
Externí odkaz:
https://doaj.org/article/30d24540964a4d3788be9aeea14c1dfc
Akademický článek
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Autor:
M. Luz Castro, Penousal Machado, Iria Santos, Nereida Rodriguez-Fernandez, Alvaro Torrente-Patiño, Adrian Carballal
Publikováno v:
Complexity, Vol 2022 (2022)
This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly focusing on those that are not mentioned
Externí odkaz:
https://doaj.org/article/65f9bb0d24ff4f4cbe37aa2829a47d55
Publikováno v:
Frontiers in Artificial Intelligence; 2024, p1-10, 10p
Autor:
Nereida Rodriguez-Fernandez, Sara Alvarez-Gonzalez, Iria Santos, Alvaro Torrente-Patiño, Adrian Carballal, Juan Romero
Publikováno v:
Entropy, Vol 24, Iss 1, p 103 (2022)
Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This is due, on the one hand, to the potential impact that predicting the aesthetic value has on practical applications. Even so, it remains a di
Externí odkaz:
https://doaj.org/article/161f41dcd2454172812bd797ab5b87f4
Autor:
Juan Romero, Antonino Santos, Adrian Carballal, Nereida Rodriguez-Fernandez, Iria Santos, Alvaro Torrente-Patiño, Juan Tuñas, Penousal Machado
Publikováno v:
Entropy, Vol 22, Iss 12, p 1362 (2020)
RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like Robocode, each of these robots can be dev
Externí odkaz:
https://doaj.org/article/9a8f3a31ee1c431ab2c70eff66b067c9
Publikováno v:
Proceedings, Vol 54, Iss 1, p 15 (2020)
“A picture is worth a thousand words.” Based on this well-known adage, we can say that images are important in our society, and increasingly so. Currently, the Internet is the main channel of socialization and marketing, where we seek to communic
Externí odkaz:
https://doaj.org/article/1bfc6e41fbaa4548a66e20d003d06517
Autor:
Adrian Carballal, Iria Santos, Nereida Rodriguez-Fernandez, Luz Castro, Alvaro Torrente-Patiño
Publikováno v:
Neural Computing and Applications. 33:121-157
In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence over the years and examine in depth the latest work carried o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d9767e530a56d01502b753f17ead46
https://doi.org/10.1007/s00521-020-05565-4
https://doi.org/10.1007/s00521-020-05565-4
Autor:
Castro, M. Luz, Machado, Penousal, Santos, Iria, Rodriguez-Fernandez, Nereida, Torrente-Patiño, Alvaro, Carballal, Adrian
Publikováno v:
Complexity.
This review presents a state of the art in artificial intelligence applied to urban planning and particularly to land-use predictions. In this review, different articles after the year 2016 are analyzed mostly focusing on those that are not mentioned
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=hindawi_publ::ae9fd7e893fc37285c5d0695e1f2ad42