104 citations · 147 across the 4 of their papers we have counts for
4 papers
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia
Francisco Jesus Martinez-Murcia, Andrés Ortiz, Juan Manuel Górriz +4
The Temporal Sampling Framework (TSF) theorizes that the characteristic phonological difficulties of dyslexia are caused by an atypical oscillatory sampling at one or more temporal…
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Francisco J. Martinez-Murcia, Juan M. Górriz, Javier Ramírez +1
Spatial and intensity normalization are nowadays a prerequisite for neuroimaging analysis. Influenced by voxel-wise and other univariate comparisons, where these corrections are ke…
Revealing Patterns of Symptomatology in Parkinson's Disease: A Latent Space Analysis with 3D Convolutional Autoencoders
E. Delgado de las Heras, F. J. Martinez-Murcia, I. A. Illán +4
This work proposes the use of 3D convolutional variational autoencoders (CVAEs) to trace the changes and symptomatology produced by neurodegeneration in Parkinson's disease (PD). I…
Un résumeur à base de graphes, indépéndant de la langue
Juan-Manuel Torres-Moreno, Javier Ramirez, Iria da Cunha
In this paper we present REG, a graph-based approach for study a fundamental problem of Natural Language Processing (NLP): the automatic text summarization. The algorithm maps a do…