Zobrazeno 1 - 10
of 58
pro vyhledávání: '"P. Ponce-López"'
Publikováno v:
Psicosomática y Psiquiatría, Iss 27 (2023)
Externí odkaz:
https://doaj.org/article/7e966c0148154fcea2473bf55744da75
Autor:
Ponce-López, Víctor
The aim of this paper is to evaluate whether large language models trained on multi-choice question data can be used to discriminate between medical subjects. This is an important and challenging task for automatic question answering. To achieve this
Externí odkaz:
http://arxiv.org/abs/2403.14582
Behaviour in social media for floods and heat waves in disaster response via Artificial Intelligence
Autor:
Ponce-López, Victor, Spataru, Catalina
This paper analyses social media data in multiple disaster-related collections of floods and heat waves in the UK. The proposed method uses machine learning classifiers based on deep bidirectional neural networks trained on benchmark datasets of disa
Externí odkaz:
http://arxiv.org/abs/2203.08753
Autor:
Masullo, Alessandro, Burghardt, Tilo, Damen, Dima, Hannuna, Sion, Ponce-López, Victor, Mirmehdi, Majid
We propose a novel deep fusion architecture, CaloriNet, for the online estimation of energy expenditure for free living monitoring in private environments, where RGB data is discarded and replaced by silhouettes. Our fused convolutional neural networ
Externí odkaz:
http://arxiv.org/abs/1806.08152
Autor:
Ponce-López, Víctor, Burghardt, Tilo, Hannunna, Sion, Damen, Dima, Masullo, Alessandro, Mirmehdi, Majid
We present a deep person re-identification approach that combines semantically selective, deep data augmentation with clustering-based network compression to generate high performance, light and fast inference networks. In particular, we propose to a
Externí odkaz:
http://arxiv.org/abs/1806.04074
Autor:
Víctor Ponce-López, Catalina Spataru
Publikováno v:
Discover Artificial Intelligence, Vol 2, Iss 1, Pp 1-14 (2022)
Abstract This paper presents a social media data analysis framework applied to multiple datasets. The method developed uses machine learning classifiers, where filtering binary classifiers based on deep bidirectional neural networks are trained on be
Externí odkaz:
https://doaj.org/article/6df02c872ff44d9e9452ca044979e857
Autor:
Fuad Hatibovic, José Manuel Gaete, Ximena Faúndez, Cristian Ponce-López, Matías Pérez-Montaner
Publikováno v:
Revista de Estudios Sociales, Vol 79, Pp 60-77 (2022)
This article investigates the role of positive and negative group emotions of Chileans in the territorial conflict between Chile and Bolivia, in which the latter claims access to the sea. Two studies were conducted: one following the October 2018 rul
Externí odkaz:
https://doaj.org/article/2adc301fd9b9430b985b5136ce726084
Akademický článek
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In this paper we present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field. In particular, we propose the use of computer vision and social signal proces
Externí odkaz:
http://arxiv.org/abs/1412.2122
Autor:
Jean Franco Quispe-Cañari, Evelyn Fidel-Rosales, Diego Manrique, Jesús Mascaró-Zan, Katia Medalith Huamán-Castillón, Scherlli E. Chamorro–Espinoza, Humberto Garayar–Peceros, Vania L. Ponce–López, Jhesly Sifuentes-Rosales, Aldo Alvarez-Risco, Jaime A. Yáñez, Christian R. Mejia
Publikováno v:
Saudi Pharmaceutical Journal, Vol 29, Iss 1, Pp 1-11 (2021)
Self-medication impacts both negatively and positively the health of people, which has become evident during the COVID-19 pandemic. The study aimed to assess the prevalence of self-medicated drugs used for respiratory symptoms, as COVID-19 preventive
Externí odkaz:
https://doaj.org/article/ddbdc93f526c4436a4988c5fba461d84