Zobrazeno 1 - 10
of 193
pro vyhledávání: '"David GRIOL"'
Autor:
Daniel Calderón-González, Nieves Ábalos, Blanca Bayo, Pedro Cánovas, David Griol, Carlos Muñoz-Romero, Carmen Pérez, Pere Vila, Zoraida Callejas
Publikováno v:
Applied Sciences, Vol 14, Iss 21, p 9916 (2024)
This paper presents the multidisciplinary work carried out in the RTVE-UGR Chair within the IVERES project, whose main objective is the development of a tool for journalists to verify the veracity of the audios that reach the newsrooms. In the curren
Externí odkaz:
https://doaj.org/article/38d758b102234c39be95097a8b733fa9
Autor:
Ksenia Kharitonova, Zoraida Callejas, David Pérez-Fernández, Asier Gutiérrez-Fandiño, David Griol
Publikováno v:
Data in Brief, Vol 50, Iss , Pp 109565- (2023)
The ChatSubs dataset [5] contains dialogue data in Spanish and three of Spain's co-official languages (Catalan, Basque, and Galician). It has been obtained from OpenSubtitles, from which we have gathered the movie subtitles in our languages of intere
Externí odkaz:
https://doaj.org/article/397a5923875648bf9166ca9e4bb7c276
Autor:
Juan Felipe Valencia-Mosquera, David Griol, Mayra Solarte-Montoya, Cristhian Figueroa, Juan Carlos Corrales, David Camilo Corrales
Publikováno v:
Data, Vol 8, Iss 12, p 186 (2023)
This paper describes a novel qualitative dataset regarding coffee pests based on the ancestral knowledge of coffee farmers in the Department of Cauca, Colombia. The dataset has been obtained from a survey applied to coffee growers with 432 records an
Externí odkaz:
https://doaj.org/article/7239db074d3d4f76a41c57eb7bd762bf
Autor:
Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé, David Griol, Ksenia Kharitonova, Zoraida Callejas
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12155 (2023)
In recent years, transformer-based models have played a significant role in advancing language modeling for natural language processing. However, they require substantial amounts of data and there is a shortage of high-quality non-English corpora. So
Externí odkaz:
https://doaj.org/article/116bf34dfa7a4c9fbd03f11db752bfe9
Publikováno v:
Journal of Technology and Science Education, Vol 10, Iss 2, Pp 241-258 (2020)
We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba. We have employed institutional data of 456 students and performed several experiments for predicting their
Externí odkaz:
https://doaj.org/article/90e4cb9d7f96429bae64506c0776995e
Publikováno v:
Sensors, Vol 22, Iss 24, p 9598 (2022)
Crop disease management in smart agriculture involves applying and using new technologies to reduce the impact of diseases on the quality of products. Coffee rust is a disease that factors such as poor agronomic management activities and climate cond
Externí odkaz:
https://doaj.org/article/c798ae9cfb2d4738a5465ad509dc2249
Autor:
Fernando Fernández-Martínez, Cristina Luna-Jiménez, Ricardo Kleinlein, David Griol, Zoraida Callejas, Juan Manuel Montero
Publikováno v:
Applied Sciences, Vol 12, Iss 3, p 1610 (2022)
Intent recognition is a key component of any task-oriented conversational system. The intent recognizer can be used first to classify the user’s utterance into one of several predefined classes (intents) that help to understand the user’s current
Externí odkaz:
https://doaj.org/article/434aebf2b4884c339eb9676c37a2d2df
Autor:
Cristina Luna-Jiménez, Ricardo Kleinlein, David Griol, Zoraida Callejas, Juan M. Montero, Fernando Fernández-Martínez
Publikováno v:
Applied Sciences, Vol 12, Iss 1, p 327 (2021)
Emotion recognition is attracting the attention of the research community due to its multiple applications in different fields, such as medicine or autonomous driving. In this paper, we proposed an automatic emotion recognizer system that consisted o
Externí odkaz:
https://doaj.org/article/8af81faebfba449889bde662ad7ff183
Autor:
Cristina Luna-Jiménez, David Griol, Zoraida Callejas, Ricardo Kleinlein, Juan M. Montero, Fernando Fernández-Martínez
Publikováno v:
Sensors, Vol 21, Iss 22, p 7665 (2021)
Emotion Recognition is attracting the attention of the research community due to the multiple areas where it can be applied, such as in healthcare or in road safety systems. In this paper, we propose a multimodal emotion recognition system that relie
Externí odkaz:
https://doaj.org/article/0967e0d9064646e7a61ad7169dbcadac
Autor:
David GRIOL, Jose Manuel MOLINA
Publikováno v:
Advances in Distributed Computing and Artificial Intelligence Journal, Vol 5, Iss 3, Pp 43-53 (2016)
Speech Technologies and Language Processing have made possible the development of a number of new applications which are based on conversational interfaces. In this paper, we describe two approaches to bridge the gap between the academic and industri
Externí odkaz:
https://doaj.org/article/a5e1c839aa254861aa6ecdfa26987997