Zobrazeno 1 - 10
of 3 785
pro vyhledávání: '"de Arriba, A"'
Autor:
de Arriba-Pérez, Francisco, García-Méndez, Silvia, Otero-Mosquera, Javier, González-Castaño, Francisco J.
Publikováno v:
Applied Intelligence, 1-16 (2024)
Cognitive and neurological impairments are very common, but only a small proportion of affected individuals are diagnosed and treated, partly because of the high costs associated with frequent screening. Detecting pre-illness stages and analyzing the
Externí odkaz:
http://arxiv.org/abs/2411.02036
Based on official estimates, 50 million people worldwide are affected by dementia, and this number increases by 10 million new patients every year. Without a cure, clinical prognostication and early intervention represent the most effective ways to d
Externí odkaz:
http://arxiv.org/abs/2409.03375
Autor:
Busto-Castiñeira, Andrea, González-Castaño, Francisco J., García-Méndez, Silvia, de Arriba-Pérez, Francisco
Publikováno v:
Busto-Casti\~neira, A., Casta\~no, F. J. G., Garc\'ia-M\'endez, S., & De Arriba-P\'erez, F. (2024). Predictability and Causality in Spanish and English Natural Language Generation. IEEE Access
In recent years, the field of Natural Language Generation (NLG) has been boosted by the recent advances in deep learning technologies. Nonetheless, these new data-intensive methods introduce language-dependent disparities in NLG as the main training
Externí odkaz:
http://arxiv.org/abs/2408.14283
Autor:
de Arriba-Pérez, Francisco, García-Méndez, Silvia, Leal, Fátima, Malheiro, Benedita, Burguillo, J. C.
Publikováno v:
Francisco de Arriba-P\'erez, Silvia Garc\'ia-M\'endez, F\'atima Leal, Benedita Malheiro, Juan C. Burguillo, Online Detection and Infographic Explanation of Spam Reviews with Data Drift Adaptation, Informatica(2024), 1-25
Spam reviews are a pervasive problem on online platforms due to its significant impact on reputation. However, research into spam detection in data streams is scarce. Another concern lies in their need for transparency. Consequently, this paper addre
Externí odkaz:
http://arxiv.org/abs/2406.15038
Material extrusion is one of the most commonly used approaches within the additive manufacturing processes available. Despite its popularity and related technical advancements, process reliability and quality assurance remain only partially solved. I
Externí odkaz:
http://arxiv.org/abs/2406.14478
Artificial Intelligence (AI) can potentially transform the industry, enhancing the production process and minimizing manual, repetitive tasks. Accordingly, the synergy between high-performance computing and powerful mathematical models enables the ap
Externí odkaz:
http://arxiv.org/abs/2406.12770
Autor:
García-Méndez, Silvia, de Arriba-Pérez, Francisco, González-Castaño, Francisco J., Vales-Alonso, Javier
Artificial Intelligence (AI) has found application in Human Activity Recognition (HAR) in competitive sports. To date, most Machine Learning (ML) approaches for HAR have relied on offline (batch) training, imposing higher computational and tagging bu
Externí odkaz:
http://arxiv.org/abs/2406.12762
Autor:
de Arriba-Pérez, Francisco, García-Méndez, Silvia, Otero-Mosquera, Javier, González-Castaño, Francisco J., Gil-Castiñeira, Felipe
New technologies such as Machine Learning (ML) gave great potential for evaluating industry workflows and automatically generating key performance indicators (KPIs). However, despite established standards for measuring the efficiency of industrial ma
Externí odkaz:
http://arxiv.org/abs/2406.12732
Autor:
García-Méndez, Silvia, de Arriba-Pérez, Francisco, González-Gonzáleza, Jaime, González-Castaño, Francisco J.
Publikováno v:
Expert Systems with Applications. 124515 (2024)
Social media include diverse interaction metrics related to user popularity, the most evident example being the number of user followers. The latter has raised concerns about the credibility of the posts by the most popular creators. However, most ex
Externí odkaz:
http://arxiv.org/abs/2406.11924
Autor:
de Arriba-Pérez, Francisco, García-Méndez, Silvia, González-Castaño, Francisco J., Costa-Montenegro, Enrique
Previous researchers have proposed intelligent systems for therapeutic monitoring of cognitive impairments. However, most existing practical approaches for this purpose are based on manual tests. This raises issues such as excessive caretaking effort
Externí odkaz:
http://arxiv.org/abs/2405.18542