Zobrazeno 1 - 10
of 7 141
pro vyhledávání: '"Manso P"'
Autor:
Arenas Jiménez MD, Manso P, Dapena F, Hernán D, Portillo J, Pereira C, Gallego D, Julián Mauro JC, Arellano Armisen M, Tombas A, Martin-Crespo Garcia I, Gonzalez-Parra E, Sanz C
Publikováno v:
Patient Preference and Adherence, Vol Volume 17, Pp 2707-2717 (2023)
Maria Dolores Arenas Jiménez,1 Paula Manso,1 Fabiola Dapena,1 David Hernán,1 Jesús Portillo,1 Concepción Pereira,1 Daniel Gallego,2 Juan Carlos Julián Mauro,2 Manuel Arellano Armisen,2,3 Antonio Tombas,4 Iluminada Martin-Crespo Garcia,5 Emilio G
Externí odkaz:
https://doaj.org/article/e01687910ae44f1bafb9c866e9343bfb
Software bots, extensively adopted by Open Source Software (OSS) projects, support developers across several activities, from automating predefined tasks to generating code that aids software engineers. However, with the growing prominence of bots, q
Externí odkaz:
http://arxiv.org/abs/2411.09467
Autor:
Manso, Julia
This paper introduces GephiForR, an R package designed to replicate Java-based Gephi's key plotting tools in R. The package is accessible to those with minimal R experience and, in particular, implements ForceAtlas2, the key layout feature developed
Externí odkaz:
http://arxiv.org/abs/2409.18646
We extend the spherical tensorial formalism for polarization to the treatment of electric- and magnetic-multipole transitions of any order. We rely on the spherical-wave expansion to derive the tensor form of the operator describing the interaction o
Externí odkaz:
http://arxiv.org/abs/2409.01197
In the domain of multi-baseline stereo, the conventional understanding is that, in general, increasing baseline separation substantially enhances the accuracy of depth estimation. However, prevailing self-supervised depth estimation architectures pri
Externí odkaz:
http://arxiv.org/abs/2407.20437
Autor:
Jimeno, Marina Manso, Bachi, Keren, Gardner, George, Hurd, Yasmin L., Vaughan Jr., John Thomas, Geethanath, Sairam
Functional magnetic resonance imaging techniques benefit from echo-planar imaging's fast image acquisition but are susceptible to inhomogeneities in the main magnetic field, resulting in geometric distortion and signal loss artifacts in the images. T
Externí odkaz:
http://arxiv.org/abs/2402.18777
Autor:
Sekulić, Ivan, Terragni, Silvia, Guimarães, Victor, Khau, Nghia, Guedes, Bruna, Filipavicius, Modestas, Manso, André Ferreira, Mathis, Roland
In the realm of dialogue systems, user simulation techniques have emerged as a game-changer, redefining the evaluation and enhancement of task-oriented dialogue (TOD) systems. These methods are crucial for replicating real user interactions, enabling
Externí odkaz:
http://arxiv.org/abs/2402.13374
Autor:
Jimeno, Marina Manso, Ravi, Keerthi Sravan, Fung, Maggie, Vaughan, Jr., John Thomas, Geethanath, Sairam
Quality assessment, including inspecting the images for artifacts, is a critical step during MRI data acquisition to ensure data quality and downstream analysis or interpretation success. This study demonstrates a deep learning model to detect rigid
Externí odkaz:
http://arxiv.org/abs/2402.08749
Traffic congestion in urban areas presents significant challenges, and Intelligent Transportation Systems (ITS) have sought to address these via automated and adaptive controls. However, these systems often struggle to transfer simulated experiences
Externí odkaz:
http://arxiv.org/abs/2312.05031
Autor:
Singamaneni, Phani Teja, Bachiller-Burgos, Pilar, Manso, Luis J., Garrell, Anaís, Sanfeliu, Alberto, Spalanzani, Anne, Alami, Rachid
Socially aware robot navigation is gaining popularity with the increase in delivery and assistive robots. The research is further fueled by a need for socially aware navigation skills in autonomous vehicles to move safely and appropriately in spaces
Externí odkaz:
http://arxiv.org/abs/2311.06922