Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study

Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez 0001, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermín Segovia. Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study. In Manuel Graña, José Manuel López-Guede, Oier Etxaniz, Álvaro Herrero, José Antonio Sáez, Héctor Quintián, Emilio Corchado, editors, International Joint Conference SOCO'18-CISIS'18-ICEUTE'18 - San Sebastián, Spain, June 6-8, 2018, Proceedings. Volume 771 of Advances in Intelligent Systems and Computing, pages 47-56, Springer, 2018. [doi]

Abstract

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