Listar por autor "Palomo-Ferrer, Esteban José"
Mostrando ítems 21-29 de 29
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Peer assessments in Engineering: A pilot project
Thurnhofer-Hemsi, Karl; Molina-Cabello, Miguel Ángel
; Palomo-Ferrer, Esteban José; López-Rubio, Ezequiel; Domínguez, Enrique (2021)
The evaluation methods employed in a course are the most important point for the students, above any other learning aspect. For teachers, this task is arduous when the number of students is high. Traditional evaluation ... -
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo-Ferrer, Esteban José
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ... -
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks
Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for ... -
Self-Organized Maps
Díaz-Ramos, Antonio (UMA Editorial, 2021-05-26)
Los mapas auto-organizados o redes de Kohonen (SOM por sus siglas en inglés, self-organizing map) fueron introducidos por el profesor finlandés Teuvo Kalevi Kohonen en los años 80. Un mapa auto-organizado es una herramienta ... -
Sistema de detección de presencia basado en microcontrolador para cámaras de movimiento panorámico utilizando redes neuronales artificiales
(2018-03-22)La detección de movimiento es el primer proceso esencial en la extracción de información de imágenes con objetos que se desplazan sobre un fondo estático. A la hora de realizar tareas de detección de movimiento, las técnicas ... -
Smart motion detection sensor based on video processing using self-organizing maps
Ortega-Zamorano, Francisco; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; Palomo-Ferrer, Esteban José (Elsevier, 2016)
Most current approaches to computer vision are based on expensive, high performance hardware to meet the heavy computational requirements of the employed algorithms. These system architectures are severely limited in their ... -
Stenosis detection in coronary angiography images using deep learning models
Luque-Baena, Rafael Marcos; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo-Ferrer, Esteban José (2022)
The emergence of deep learning has caused its massive application to different fields in industry and research, among which is the clinical field, especially in those where the data is structured in the form of images ... -
The forbidden region self-organizing map neural network
Self-organizing maps are aimed to learn a representation of the input distribution which faithfully describes the topological relations among the clusters of the distribution. For some datasets and applications, it is known ... -
Use of an ANN to Value MTF and Melatonin Effect on ADHD Affected Children
Muñoz-Gallego, Antonio Jesús; Palomo-Ferrer, Esteban José; Jerez-Calero, Antonio (IEEE, 2019-08-26)
El estudio se centra en niños con TDAH que suelen sufrir trastornos del sueño como comorbilidad frecuente. Se utilizó una red neuronal de tipo Growing Neural Forest (GNF), que es una variante del modelo Growing Neural Gas ...