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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
Artificial Neural Networks and Intelligent Information Processing - Proc. 5th Int. Workshop on Artificial Neural Networks and Intelligent Information Processing - ANNIIP 2009, held with ICINCO 2009(1)
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scopus(4)
A blind source separation algorithm for the processing and classification of electro-oculogram data
Conference ObjectAbstract: Abnormalities in the oculomotor system are well known clinical symptoms in patients of several neuroPalabras claves:Autores:Rodolfo García−Bermúdez, Ruiz F.R., San Román B., Valenzuela O., Velazquez-Perez L.Fuentes:scopusEvaluation of fitting functions for the saccade velocity profile in electrooculographic records
Conference ObjectAbstract: A saccade is an ocular movement that is characterized by speed and precision. The velocity profile oPalabras claves:Ataxia, Curve fitting, Eye movements, Gaussian series, Nonlinear regression, Saccade, SCA2, velocity profileAutores:Becerra-García R.A., José Arteaga-Vera, Rodolfo García−Bermúdez, Rodríguez M., Ruiz F.R., Velázquez-Mariño M., Velazquez-Perez L., Velázquez-Rodríguez C.Fuentes:scopusNon spontaneous saccadic movements identification in clinical electrooculography using machine learning
Conference ObjectAbstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),Palabras claves:classification, Clinical electrooculography, Saccade identificationAutores:Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodríguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.Fuentes:scopusUnsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2
Conference ObjectAbstract: This paper aims at assessing spino-cerebellar type 2 ataxia by classifying electrooculography recorPalabras claves:classification, convolutional neural networks, K-Means, Saccadic eye movement, Self-Organizing Maps, unsupervised learningAutores:Atencia M., Becerra-García R.A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Stoean C., Stoean R., Velazquez-Perez L.Fuentes:scopus