Zobrazeno 1 - 10
of 14 992
pro vyhledávání: '"PÉREZ, JOSÉ A."'
Autor:
Nunez-Galvez, Fernando, Garcia-Casas, Xabier, Bernal, Lidia Contreras, Descalzo, Alejandro, Obrero-Perez, Jose Manuel, Espinos, Juan Pedro, Barranco, Angel, Borras, Ana, Sanchez-Valencia, Juan Ramon, Lopez-Santos, Carmen
The stability and reproducibility issues related to metal halide Perovskite Solar Cells (PSCs) have prevented so far from exploiting this highly efficient photovoltaic technology under rainy or even moisture conditions and in combination with drop tr
Externí odkaz:
http://arxiv.org/abs/2407.07581
Autor:
Nuñez, Imanol, Pérez, José Luis
We consider a population growth model given by a two-type continuous-state branching process with immigration and competition, introduced by Ma. We study the relative frequency of one of the types in the population when the total mass is forced to be
Externí odkaz:
http://arxiv.org/abs/2406.04255
Detecting salient parts in text using natural language processing has been widely used to mitigate the effects of information overflow. Nevertheless, most of the datasets available for this task are derived mainly from academic publications. We intro
Externí odkaz:
http://arxiv.org/abs/2403.16941
We study the optimal bailout dividend problem with transaction costs for an insurance company, where shareholder payouts align with the arrival times of an independent Poisson process. In this scenario, the underlying risk model follows a spectrally
Externí odkaz:
http://arxiv.org/abs/2403.16077
Autor:
Benítez-Andrades, José Alberto, Alija-Pérez, José-Manuel, Vidal, Maria-Esther, Pastor-Vargas, Rafael, García-Ordás, María Teresa
Publikováno v:
JMIR Medical Informatics, Volume 10, Issue 2, 2022, ID e34492
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for categorizing tweets related to eating disorders. Methods: Over three mo
Externí odkaz:
http://arxiv.org/abs/2402.05571
Autor:
García-Ordás, María Teresa, Benítez-Andrades, José Alberto, Aveleira-Mata, Jose, Alija-Pérez, José-Manuel, Benavides, Carmen
Publikováno v:
Multimedia Tools and Applications, Volume 83, pages 6077-6092, 2024
Parkinson's disease is easy to diagnose when it is advanced, but it is very difficult to diagnose in its early stages. Early diagnosis is essential to be able to treat the symptoms. It impacts on daily activities and reduces the quality of life of bo
Externí odkaz:
http://arxiv.org/abs/2402.05491
Publikováno v:
IEEE Access, vol. 12, pp. 5973-5985, 2024
Accurate simulation techniques are indispensable to efficiently propose new memory or architectural organizations. As implementing new hardware concepts in real systems is often not feasible, cycle-accurate simulators employed together with certain b
Externí odkaz:
http://arxiv.org/abs/2402.00649
Knowledge base population seeks to expand knowledge graphs with facts that are typically extracted from a text corpus. Recently, language models pretrained on large corpora have been shown to contain factual knowledge that can be retrieved using cloz
Externí odkaz:
http://arxiv.org/abs/2401.16293
Preventing the spread of misinformation is challenging. The detection of misleading content presents a significant hurdle due to its extreme linguistic and domain variability. Content-based models have managed to identify deceptive language by learni
Externí odkaz:
http://arxiv.org/abs/2401.16285
Autor:
Frequencies, Committee on Radio Astronomy, Winkel, Benjamin, Garrington, Simon, Colomer, Francesco, Madkour, Waleed, Slowikowska, Agnieszka, Bolli, Pietro, Lindqvist, Michael, López-Pérez, José Antonio, Tangen, Leif Morten, Thomas, Ivan, Thomasson, Peter, Witvers, Roel, McCauley, Joe, Bautista, Marta, Bergano, Miguel, Bezrukovs, Vladislavs, Giovanardi, Fabio, Hase, Hayo, Jiricka, Karel, Józsa, Gyula I. G., Kallunki, Juha, Marqué, Christophe, McKay, Derek, Murk, Axel, Pietu, Vincent, Tornatore, Vincenza, Sethole, Busang, Soida, Marian, Sorokin, Boris, Tan, Gie Han, Tiplady, Adrian, Tóth, L. Viktor, Di Vruno, Federico, Wampfler, Susanne, Williams, Andrew, Yerin, Serge, Bray, Justin, Jessner, Axel, Gizani, Nectaria, Monstein, Christian, Peel, Mike, Ferreira, João Salmim, Smith, Harry, Veldes, Giorgios P., Wolak, Pawel
The Committee on Radio Astronomy Frequencies (CRAF) is an Expert Committee of the European Science Foundation. It aims to provide a cost-effective single voice on frequency protection issues for European radio astronomy observatories and research ins
Externí odkaz:
http://arxiv.org/abs/2310.13407