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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; Velazquez-Mariño, Michel; Cuevas-Beltrán, Franger; García-Lagos, Francisco; Rodríguez-Labrada, Roberto[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 ...