Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography

Article

Abstract: In this paper we evaluate the use of the machine learning algorithms Support Vector Machines (SVM),

Palabras claves:

Classification and regression trees, Clinical electrooculography, K-NEAREST NEIGHBORS, Saccade identification, SUPPORT VECTOR MACHINES

Autores:

Becerra-García R.A., Cuevas-Beltrán F.R., Fernández-Higuera A., García-Lagos F., Joya-Caparrós G., Rodolfo García−Bermúdez, Rodráguez-Labrada R., Velázquez-Mariño M., Velázquez-Rodríguez C.

Fuentes:

scopus