Listar por autor "Palomo, Esteban José"
Mostrando ítems 1-8 de 8
-
Color Space Selection for Self-Organizing Map Based Foreground Detection in Video Sequences
López-Rubio, Francisco Javier; López-Rubio, Ezequiel
; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo, Esteban José (2014-07-18)
The selection of the best color space is a fundamental task in detecting foreground objects on scenes. In many situations, especially on dynamic backgrounds, neither grayscale nor RGB color spaces represent the best solution ... -
Hierarchical Color Quantization with a Neural Gas Model Based on Bregman Divergences
Palomo, Esteban José; Benito Picazo, Jesús; Domínguez-Merino, Enrique; López-Rubio, Ezequiel; Ortega-Zamorano, Francisco (Springer, 2021-09)
In this paper, a new color quantization method based on a self-organized artificial neural network called the Growing Hierarchical Bregman Neural Gas (GHBNG) is proposed. This neural network is based on Bregman divergences, ... -
Longitudinal study of the learning styles evolution in Engineering degrees
Molina-Cabello, Miguel Angel; Thurnhofer-Hemsi, Karl; Domínguez, Enrique; López-Rubio, Ezequiel; Palomo, Esteban José (2021)
A learning style describes what are the predominant skills for learning tasks. In the context of university education, knowing the learning styles of the students constitutes a great opportunity to improve both teaching ... -
A new self-organizing neural gas model based on Bregman divergences
Palomo, Esteban José; Molina-Cabello, Miguel Angel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos (2018-07-20)
In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman ... -
Peer assessments in Engineering: A pilot project
Thurnhofer-Hemsi, Karl; Molina-Cabello, Miguel Angel; Palomo, 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 Angel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo, 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 ... -
Stenosis detection in coronary angiography images using deep learning models
Luque-Baena, Rafael Marcos; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo, 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 ...