Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Miguel Ángel Ferrer Ballester"'
Autor:
Jesús B. Alonso-Hernández, María Luisa Barragán-Pulido, Aitor Santana-Luis, Miguel Ángel Ferrer-Ballester
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5588 (2024)
In the context of the detection and evolutionary control of Alzheimer’s disease from voice recordings and their automatic processing, this work aims to objectively determine the discriminatory capacity of a set of voice features linked to the emoti
Externí odkaz:
https://doaj.org/article/9388caa69e0f45298b232fe2fd1ee9b1
Autor:
Jesús B. Alonso-Hernández, María Luisa Barragán-Pulido, José Manuel Gil-Bordón, Miguel Ángel Ferrer-Ballester, Carlos M. Travieso-González
Publikováno v:
Applied Sciences, Vol 11, Iss 7, p 3228 (2021)
Currently, there are more and more frequent studies focused on the evaluation of Alzheimer’s disease (AD) from the automatic analysis of the speech of patients, in order to detect the presence of the disease in an individual or for the evolutionary
Externí odkaz:
https://doaj.org/article/df1610b1d1aa46a887048733749d2bcf
Autor:
Andreas Fischer, Miguel Ángel Ferrer Ballester, Josep Lladós, Asma Bensalah, María Cristina Carmona Duarte, Réjean Plamondon, Alicia Fornés, Eloy Opisso, Josep Maria Tormos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688ddaf7743f1746148385d8b287c63f
https://doi.org/10.1142/9789811226830_0017
https://doi.org/10.1142/9789811226830_0017
Autor:
Jesús Bernardino Alonso Hernández, María Luisa Barragán Pulido, José Manuel Gil Bordón, Miguel Ángel Ferrer Ballester, Carlos Manuel Travieso González
Publikováno v:
Expert Systems with Applications. 192:116386
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4b9daf6bcde3c68e20931a23c01954e
https://doi.org/10.1016/j.eswa.2021.116386
https://doi.org/10.1016/j.eswa.2021.116386
Autor:
Moises Diaz Cabrera, Angelo Marcelli, Antonio Parziale, Gioele Crispo, Miguel Ángel Ferrer Ballester
Publikováno v:
Re-Unir. Archivo Institucional de la Universidad Internacional de La Rioja
instname
instname
The order in which the trajectory is executed is a powerful source of information for recognizers. However, there is still no general approach for recovering the trajectory of complex and long handwriting from static images. Complex specimens can res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f44881f6c0dd7c2452063ff3e93c2061
https://doi.org/10.9781/ijimai.2021.04.003
https://doi.org/10.9781/ijimai.2021.04.003
This compendium provides a detailed account of the lognormality principle characterizing the human motor behavior by summarizing a sound theoretical framework for modeling such a behavior, introducing the most recent algorithms for extracting the log
Autor:
Jesús Bernardino Alonso Hernández, Carlos Manuel Travieso González, Zdeněk Smékal, Jiří Mekyska, Miguel Ángel Ferrer Ballester, María Luisa Barragán Pulido
Publikováno v:
Expert Systems with Applications. 150:113213
The objective of this paper is to present the state of-the-art relating to automatic speech and voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's disease as well as to shed light on possible future research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7aaa3733d54aeab552be9f125e23c432
https://doi.org/10.1016/j.eswa.2020.113213
https://doi.org/10.1016/j.eswa.2020.113213
Autor:
Aythami Morales Moreno, Milton García-Borroto, Miguel Ángel Ferrer Ballester, Octavio Loyola-González, Miguel Angel Medina-Pérez, Leopoldo Altamirano-Robles
Publikováno v:
Neurocomputing. 175:851-865
Automatic latent fingerprint identification is a useful tool for criminal investigation. However, the accuracy of identification reported in the state-of-the-art literature is low due to the distortion in latent fingerprint images. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d317d71b87c08b00793e0de69f91b0b1
https://doi.org/10.1016/j.neucom.2015.05.130
https://doi.org/10.1016/j.neucom.2015.05.130