ListarTecnología Electrónica - (TE) por tema "Saccadic movements identification"
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Non spontaneous saccadic movements identification in clinical electrooculography using machine learning
(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 ...