Zobrazeno 1 - 10
of 355
pro vyhledávání: '"Sergio, Lopez"'
Autor:
Bernal, Eduardo López, Bernal, Sergio López, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
Brain-Computer Interfaces (BCIs) are used in various application scenarios allowing direct communication between the brain and computers. Specifically, electroencephalography (EEG) is one of the most common techniques for obtaining evoked potentials
Externí odkaz:
http://arxiv.org/abs/2311.05270
Autor:
Beltrán, Enrique Tomás Martínez, Sánchez, Pedro Miguel Sánchez, Bernal, Sergio López, Bovet, Gérôme, Pérez, Manuel Gil, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
The rise of Decentralized Federated Learning (DFL) has enabled the training of machine learning models across federated participants, fostering decentralized model aggregation and reducing dependence on a server. However, this approach introduces uni
Externí odkaz:
http://arxiv.org/abs/2307.11730
Autor:
Beltrán, Enrique Tomás Martínez, Gómez, Ángel Luis Perales, Feng, Chao, Sánchez, Pedro Miguel Sánchez, Bernal, Sergio López, Bovet, Gérôme, Pérez, Manuel Gil, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
In 2016, Google proposed Federated Learning (FL) as a novel paradigm to train Machine Learning (ML) models across the participants of a federation while preserving data privacy. Since its birth, Centralized FL (CFL) has been the most used approach, w
Externí odkaz:
http://arxiv.org/abs/2306.09750
Autor:
Bernal, Sergio López, Pérez, Mario Quiles, Beltrán, Enrique Tomás Martínez, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
The metaverse has gained tremendous popularity in recent years, allowing the interconnection of users worldwide. However, current systems in metaverse scenarios, such as virtual reality glasses, offer a partial immersive experience. In this context,
Externí odkaz:
http://arxiv.org/abs/2212.03169
Autor:
Pablo Salinas, Luis Nombela-Franco, Ignacio Cruz-Gonzalez, Xavier Freixa, Enrico Cerrato, Patricia Simal, Pilar Jimenez-Quevedo, Jose Alberto de Agustín, Gabriela Tirado, Sergio García-Blas, Adrián Jerónimo, Guillermo Dueñas, Gabriela Veiga-Fernandez, Luis Renier Goncalves-Ramirez, Ana Fernández-Revuelta, Pedro Cepas-Guillén, Francesco Tomassini, Sergio Lopez-Tejero, Rafael Gonzalez-Manzanares, Jose M De la Torre Hernandez, Armando Perez de Prado, Ernesto Valero, Rami Gabani, Alejandro Travieso
Publikováno v:
Open Heart, Vol 11, Iss 2 (2024)
Background The benefit of patent foramen ovale closure (PFOC) ≤9 months after a cryptogenic stroke has been demonstrated in several randomised clinical trials. There is, however, insufficient data to support PFOC in non-recent cryptogenic strokes.A
Externí odkaz:
https://doaj.org/article/935aa5dc24c54b06a4cea1082084b610
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Autor:
Beltrán, Enrique Tomás Martínez, Pérez, Mario Quiles, Sánchez, Pedro Miguel Sánchez, Bernal, Sergio López, Bovet, Gérôme, Pérez, Manuel Gil, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
In recent years, Federated Learning (FL) has gained relevance in training collaborative models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the most common approach in the literature, where a central entity creates a
Externí odkaz:
http://arxiv.org/abs/2211.08413
Autor:
Rogel, José Manuel Hidalgo, Beltrán, Enrique Tomás Martínez, Pérez, Mario Quiles, Bernal, Sergio López, Pérez, Gregorio Martínez, Celdrán, Alberto Huertas
- Background / Introduction: Driver drowsiness is a significant concern and one of the leading causes of traffic accidents. Advances in cognitive neuroscience and computer science have enabled the detection of drivers' drowsiness using Brain-Computer
Externí odkaz:
http://arxiv.org/abs/2209.04048
Autor:
Pérez, Mario Quiles, Beltrán, Enrique Tomás Martínez, Bernal, Sergio López, Prat, Eduardo Horna, Del Campo, Luis Montesano, Maimó, Lorenzo Fernández, Celdrán, Alberto Huertas
The primary goal of any company is to increase its profits by improving both the quality of its products and how they are advertised. In this context, neuromarketing seeks to enhance the promotion of products and generate a greater acceptance on pote
Externí odkaz:
http://arxiv.org/abs/2209.00993
Autor:
Donat, Rosa, Ureña, Sergio López
General purpose optimization techniques can be used to solve many problems in engineering computations, although their cost is often prohibitive when the number of degrees of freedom is very large. We describe a multilevel approach to speed up the co
Externí odkaz:
http://arxiv.org/abs/2207.12136
Autor:
Palepu, Jagannath, Endo, Itaru, Chaudhari, Vikram Anil, Murthy, G.V.S., Chaudhuri, Sirshendu, Adam, Rene, Smith, Martin, de Reuver, Philip R., Lendoire, Javier, Shrikhande, Shailesh V., De Aretxabala, Xabier, Sirohi, Bhawna, Kokudo, Norihiro, Kwon, Wooil, Pal, Sujoy, Bouzid, Chafik, Dixon, Elijah, Shah, Sudeep Rohit, Maroni, Rodrigo, Nervi, Bruno, Mengoa, Claudio, Patil, Shekhar, Ebata, Tomoki, Maithel, Shishir K., Lang, Hauke, Primrose, John, Hirano, Satoshi, Guevara, Oscar A., Ohtsuka, Masayuki, Valle, Juan W., Sharma, Atul, Nagarajan, Ganesh, Núñez Ju, Juan Jose, Arroyo, Gerardo Francisco, Torrez, Sergio Lopez, Erdmann, Joris Ivo, Butte, Jean M., Furuse, Junji, Lee, Seung Eun, Gomes, António Pedro, Park, Sang-Jae, Jang, Jin-Young, Oddi, Ricardo, Barreto, Savio George, Kijima, Hiroshi, Ciacio, Oriana, Gowda, Nagesh S., Jarnagin, William
Publikováno v:
In HPB November 2024 26(11):1311-1326