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Francisco García Lagos

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  • Francisco García Lagos

    Profesor Titular de Universidad

    Tel: 952132874     E-mail: fgl@uma.es

    Despacho: 1.2.45

    Currículo

INVESTIGACIÓN EN:

> Grupo ISIS

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ÚLTIMAS PUBLICACIONES:

Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2
Stoean, Catalin; Stoean, Ruxandra; Becerra-García, Roberto Antonio; Atencia-Ruiz, Miguel Alejandro; García-Lagos, Francisco; [et al.] (2019-06-17)
This paper aims at assessing spino-cerebellar type 2 ataxiaby classifying electrooculography records into registers corresponding to healthy, presymptomatic and ill individuals. The primary used technique is the convolutional ...

A Neural Network for Stance Phase detection in smart cane users
Caro-Romero, Juan; Ballesteros, Joaquín; García-Lagos, Francisco; Urdiales, Cristina; Sandoval-Hernandez, Francisco (2019-06-10)
Persons with disabilities often rely on assistive devices to carry on their Activities of Daily Living. Deploying sensors on these devices may provide continuous valuable knowledge on their state and condition. Canes are ...

Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Network
Casilari-Pérez, Eduardo; Lora Rivera, Raúl; García-Lagos, Francisco (2019-03-04)
Owing to the effects of falls on quality of life of the elderly, automatic fall detection systems (FDS) have become a key research topic in the ambit of telecare. This works assesses the performance of convolutional neural ...

Ética y sostenibilidad: buscando hueco en los planes de estudios
García-Berdonés, Carmen; Díaz-Estrella, Antonio; García-Lagos, Francisco; Herrero-Reder, Ignacio; Peña-Martin, Juan Pedro (2018-07-03)
Este trabajo muestra una propuesta de actividades docentes para el desarrollo de las competencias ética y sostenibilidad. Se pretende con ella mejorar el escaso desarrollo que de las mismas se ha detectado en un grado de ...

Uncertainty analysis of ANN based spectral analysis using Monte Carlo method
Salinas, J.R.; García-Lagos, Francisco; Díaz-de-Aguilar, J; Joya-Caparrós, Gonzalo; Sandoval, F. (Springer, 2017-06)
Uncertainty analysis of an Artificial Neural Network (ANN) based method for spectral analysis of asynchronously sampled signals is performed. Main uncer-tainty components contributions, jitter and quantization noise, are ...

Diseño de un itinerario para el desarrollo de competencias transversales en un grado de ingeniería electrónica: primeros pasos
García-Berdonés, Carmen; Casilari-Pérez, Eduardo; García-Lagos, Francisco; Gonzalez-Parada, Eva; Molina-Tanco, Luis; [et al.] (2016-10-07)
Este trabajo recoge la motivación, metodología y primeros resultados de un proyecto de innovación educativa a dos años (2015-2017) que se está llevando a cabo en la Escuela Técnica Superior de Ingeniería de Telecomunicación ...

Non spontaneous saccadic movements identification in clinical electrooculography using machine learning
Becerra-García, Roberto Antonio; García-Bermúdez, Rodolfo; Joya-Caparrós, Gonzalo; Fernández-Higuera, Abel; Velázquez-Rodríguez, Camilo; [et al.] (Springer, 2015)
In this paper we evaluate the use of the machine learning algorithms Support Vector Machines, K-Nearest Neighbors, CART decision trees and Naive Bayes to identify non spontaneous saccades in clinical electrooculography ...

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