Zobrazeno 1 - 10
of 1 095
pro vyhledávání: '"Manresa P"'
Autor:
Guarinos, Silvia Ramis, Yee, Cristina Manresa, Rubio, Jose Maria Buades, Gaya-Morey, Francesc Xavier
Facial expression recognition plays an important role in human behaviour, communication, and interaction. Recent neural networks have demonstrated to perform well at its automatic recognition, with different explainability techniques available to mak
Externí odkaz:
http://arxiv.org/abs/2405.11482
Autor:
Sabater-Gárriz, Álvaro, Gaya-Morey, F. Xavier, Buades-Rubio, José María, Yee, Cristina Manresa, Montoya, Pedro, Riquelme, Inmaculada
Background: Pain assessment in individuals with neurological conditions, especially those with limited self-report ability and altered facial expressions, presents challenges. Existing measures, relying on direct observation by caregivers, lack sensi
Externí odkaz:
http://arxiv.org/abs/2401.12161
Facial expression recognition has gained significance as a means of imparting social robots with the capacity to discern the emotional states of users. The use of social robotics includes a variety of settings, including homes, nursing homes or dayca
Externí odkaz:
http://arxiv.org/abs/2401.11877
Facial expression recognition is vital for human behavior analysis, and deep learning has enabled models that can outperform humans. However, it is unclear how closely they mimic human processing. This study aims to explore the similarity between dee
Externí odkaz:
http://arxiv.org/abs/2401.11835
Explainable artificial intelligence techniques are becoming increasingly important with the rise of deep learning applications in various domains. These techniques aim to provide a better understanding of complex "black box" models and enhance user t
Externí odkaz:
http://arxiv.org/abs/2401.11796
Publikováno v:
Gaya-Morey, F.X., Manresa-Yee, C. and Buades-Rubio, J.M. Deep learning for computer vision based activity recognition and fall detection of the elderly: a systematic review. Appl Intell 54, 8982-9007 (2024)
As the percentage of elderly people in developed countries increases worldwide, the healthcare of this collective is a worrying matter, especially if it includes the preservation of their autonomy. In this direction, many studies are being published
Externí odkaz:
http://arxiv.org/abs/2401.11790
Autor:
Kaeval, K., Slyne, F., Troia, S., Kenny, E., Große, K., Griesser, H., Kilper, D. C., Ruffini, M., Pedreno-Manresa, J-J, Patri, S. K., Jervan, G.
Optical Spectrum as a Service (OSaaS) spanning over multiple transparent optical network domains, can significantly reduce the investment and operational costs of the end-to-end service. Based on the black-link approach, these services are empowered
Externí odkaz:
http://arxiv.org/abs/2302.04623
Autor:
Chetverikov, Denis, Manresa, Elena
In this paper, we develop spectral and post-spectral estimators for grouped panel data models. Both estimators are consistent in the asymptotics where the number of observations $N$ and the number of time periods $T$ simultaneously grow large. In add
Externí odkaz:
http://arxiv.org/abs/2212.13324
Autor:
Asbjørn Graver Petersen, Stefanie H. Korntner, Jamal Bousamaki, Denise Oró, Alba Manresa Arraut, Susanne E. Pors, Casper Gravesen Salinas, Maja Worm Andersen, Martin Rønn Madsen, Yaohui Nie, Jordan Butts, Manuel Roqueta‐Rivera, Ulf Simonsen, Henrik H. Hansen, Michael Feigh
Publikováno v:
Physiological Reports, Vol 12, Iss 19, Pp n/a-n/a (2024)
Abstract This study comprehensively validated the bleomycin (BLEO) induced mouse model of IPF for utility in preclinical drug discovery. To this end, the model was rigorously evaluated for reproducible phenotype and TGFβ‐directed treatment outcome
Externí odkaz:
https://doaj.org/article/cb84d450302846dba69d6266991df0ae
Autor:
Rosalia Dacosta-Aguayo, Pere Torán-Monserrat, Meritxell Carmona-Cervelló, Brenda Biaani León-Gómez, Maria Mataró, Josep Puig, Gemma Monté-Rubio, Victor M. López-Lifante, Josep Maria Manresa-Domínguez, Valeria Zamora-Putin, Pilar Montero-Alia, Carla Chacón, Jofre Bielsa-Pascual, Eduard Moreno-Gabriel, Rosa García-Sierra, M. Carmen Rodríguez-Pérez, Anna Costa-Garrido, Julia G. Prado, Eva Martínez-Cáceres, Lourdes Mateu, Marta Massanella, Concepción Violán, Noemí Lamonja-Vicente
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionThere is a growing interest in the effect of Long-COVID (LC) on cognition, and neuroimaging allows us to gain insight into the structural and functional changes underlying cognitive impairment in LC. We used multimodal neuroimaging data i
Externí odkaz:
https://doaj.org/article/b05997dd033f43bdac29e8d75c9bf130