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Listar por autor "Fuentes Hurtado, Félix José"

Mostrando ítems 1-13 de 13

A Comparison of Physiological Signal Analysis Techniques and Classifiers for Automatic Emotional Evaluation of Audiovisual Contents

Colomer Granero, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Guixeres Provinciale, Jaime; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis (Frontiers Media, 2016-07-15)

This work focuses on finding the most discriminatory or representative features that allow to classify commercials according to negative, neutral and positive effectiveness based on the Ace Score index. For this purpose, ...
A hybrid method for accurate iris segmentation on at-a-distance visible-wavelength images

Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Diego-Mas, Jose Antonio; Alcañiz Raya, Mariano Luis (Springer (Biomed Central Ltd.), 2019-08-15)

[EN] This work describes a new hybrid method for accurate iris segmentation from full-face images independently of the ethnicity of the subject. It is based on a combination of three methods: facial key-point detection, ...
A system for modeling social traits in realistic faces with artificial intelligence

Fuentes Hurtado, Félix José (Universitat Politècnica de València, 2018-05-14)

Los seres humanos han desarrollado especialmente su capacidad perceptiva para procesar caras y extraer información de las características faciales. Usando nuestra capacidad conductual para percibir rostros, hacemos ...
Automatic classification of human facial features based on their appearance

Fuentes-Hurtado, Felix; Diego-Mas, Jose Antonio; Naranjo Ornedo, Valeriana; Alcañiz Raya, Mariano Luis (Public Library of Science, 2019-01-29)

[EN] Classification or typology systems used to categorize different human body parts have existed for many years. Nevertheless, there are very few taxonomies of facial features. Ergonomics, forensic anthropology, crime ...
Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising

Guixeres Provinciale, Jaime; Bigné-Alcañiz, Enrique; Ausin-Azofra, Jose Manuel; Alcañiz Raya, Mariano Luis; Colomer, Adrián; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana (Frontiers Media SA, 2017-10-31)

[EN] The purpose of the present study is to investigate whether the effectiveness of a new ad on digital channels (YouTube) can be predicted by using neural networks and neuroscience-based metrics (brain response, heart ...
Deep-Learning-based Classification of Rat OCT images After Intravitreal Injection of ET-1 for Glaucoma Understanding

Fuentes-Hurtado, Félix José; Morales, Sandra; Mossi García, José Manuel; Naranjo Ornedo, Valeriana; Fedulov, Vadim; Woldbye, David; Klemp, Kristian; Torm, Marie; Larsen, Michael (Springer, 2018-11-09)

Optical coherence tomography (OCT) is a useful technique to monitor retinal damage. We present an automatic method to accurately classify rodent OCT images in healthy and pathological (before and after 14 days of intravitreal ...
Desarrollo de un modelo anisotrópico para la simulación electrofisiológica auricular

Fuentes Hurtado, Félix José (Universitat Politècnica de València, 2013-10-24)

Los métodos de adquisición de potencial cardíaco existentes actualmente son limitados. El electrocardiograma, el navegador intracavitario o el BSPM no son capaces de obtener un mapa de potenciales completo del corazón. Con ...
Desarrollo de una librería en Javascript para manipulación gráfica de datos

Armero Descalzo, David (Universitat Politècnica de València, 2019-08-01)

[ES] El Big Data está en pleno auge. Millones de datos se recogen cada día permitiendo caracterizar desde nuestra actividad en internet hasta los sitos a los que vamos. No en vano, se considera que los datos son la nueva ...
EvoDeep: A new evolutionary approach for automatic Deep Neural Networks parametrisation

Martín, Alejandro; Lara-Cabrera, Raúl; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Camacho, David (Elsevier, 2018-07)

[EN] Deep Neural Networks (DNN) have become a powerful, and extremely popular mechanism, which has been widely used to solve problems of varied complexity, due to their ability to make models fitted to non-linear complex ...
Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces

Fuentes-Hurtado, Félix José; Diego-Mas, Jose Antonio; Naranjo Ornedo, Valeriana; Alcañiz Raya, Mariano Luis (John Wiley & Sons, 2018)

[EN] Human faces play a central role in our lives. Thanks to our behavioural capacity to perceive faces, how a face looks in a painting, a movie, or an advertisement can dramatically influence what we feel about them and ...
Improving the quality of image generation in art with top-k training and cyclic generative methods

Vela, Laura; Fuentes-Hurtado, Félix; Colomer, Adrián (Nature Publishing Group, 2023-10-18)

[EN] The creation of artistic images through the use of Artificial Intelligence is an area that has been gaining interest in recent years. In particular, the ability of Neural Networks to separate and subsequently recombine ...
Seguimiento de personas en plano cenital mediante técnicas de aprendizaje automático

Alcalá Martí, Pablo (Universitat Politècnica de València, 2017-05-03)

The goal of this work is to develop a system able to track people from video images taken from overhead shot. This system must be able to adequately monitor all the people appearing in the video. During this work, in ...
The Influence of Each Facial Feature on How We Perceive and Interpret Human Faces

Diego-Mas, Jose Antonio; Fuentes-Hurtado, Félix José; Naranjo Ornedo, Valeriana; Alcañiz Raya, Mariano Luis (SAGE Publishing, 2020-09)

[EN] Facial information is processed by our brain in such a way that we immediately make judgments about, for example, attractiveness or masculinity or interpret personality traits or moods of other people. The appearance ...