Zobrazeno 1 - 10
of 831
pro vyhledávání: '"GALLEGO, Antonio"'
Autor:
Martinez-Esteso, Juan P., Castellanos, Francisco J., Calvo-Zaragoza, Jorge, Gallego, Antonio Javier
The speed of response by search and rescue teams at sea is of vital importance, as survival may depend on it. Recent technological advancements have led to the development of more efficient systems for locating individuals involved in a maritime inci
Externí odkaz:
http://arxiv.org/abs/2411.07649
Autor:
Cuevas-Velasquez, Hanz, Galán-Cuenca, Alejandro, Gallego, Antonio Javier, Saval-Calvo, Marcelo, Fisher, Robert B.
Publikováno v:
Pattern Analysis and Applications 27, 137 (2024)
Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, and modeling objects and people for avatar creation, among many others.
Externí odkaz:
http://arxiv.org/abs/2403.18040
Autor:
Rico-Juan, Juan Ramón, Sánchez-Cartagena, Víctor M., Valero-Mas, Jose J., Gallego, Antonio Javier
Publikováno v:
IEEE Transactions on Learning Technologies ( Volume: 16, Issue: 6, December 2023)
Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students. Such an evaluation generally provides a single decision based on a rubric, most
Externí odkaz:
http://arxiv.org/abs/2402.03948
Publikováno v:
Pattern Anal Applic 27, 69 (2024)
Medical image datasets are essential for training models used in computer-aided diagnosis, treatment planning, and medical research. However, some challenges are associated with these datasets, including variability in data distribution, data scarcit
Externí odkaz:
http://arxiv.org/abs/2401.10129
Autor:
Martinez-Esteso, Juan P., Castellanos, Francisco J., Rosello, Adrian, Calvo-Zaragoza, Jorge, Gallego, Antonio Javier
Publikováno v:
In Engineering Applications of Artificial Intelligence January 2025 139 Part B
Autor:
Víctor PLIEGO DE ANDRÉS
Publikováno v:
Cuadernos Dieciochistas, Vol 16, Iss 0, Pp 390-391 (2016)
Externí odkaz:
https://doaj.org/article/8ccd23382cd74e6fa95d7efa92ed9b4b
Publikováno v:
Pattern Recognition, Vol. 135, 2023
Prototype Generation (PG) methods are typically considered for improving the efficiency of the $k$-Nearest Neighbour ($k$NN) classifier when tackling high-size corpora. Such approaches aim at generating a reduced version of the corpus without decreas
Externí odkaz:
http://arxiv.org/abs/2207.10947