ListarTecnología Electrónica - (TE) por tema "Machine Learning"
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Automatic recording and processing of saccadic electrooculograms.
(2023)This work presents the development of a technology that processes human eye movement records in a fully automatic way. Since it is part of a collaboration with the Center for Rehabilitation and Research of Hereditary Ataxias ... -
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 ... -
On Boosting the Accuracy of Medical Image Diagnosis through Cooperation between Classifiers
(2017-07-13)Each classifier has special inner workings that conduct to a specific separation between the samples that belong to various classes. Although two classifiers might lead to a similar prediction accuracy, the items from ...