J
Juan Manuel Górriz
Researcher at University of Granada
Publications - 403
Citations - 8595
Juan Manuel Górriz is an academic researcher from University of Granada. The author has contributed to research in topics: Support vector machine & Computer science. The author has an hindex of 43, co-authored 360 publications receiving 6429 citations. Previous affiliations of Juan Manuel Górriz include University of Cádiz & University of Cambridge.
Papers
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Book ChapterDOI
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,Diego Castillo-Barnes,Diego Salas-Gonzalez,Fermín Segovia +6 more
TL;DR: A deep Convolutional Autoencoder (CAE) architecture that performs image decomposition -or encoding- in images that were not spatially normalized is proposed, paving the way for new deep learning decompositions that bypass the common spatial normalization step and are able to extract relevant information in highly-imbalanced datasets.
Journal ArticleDOI
Using frequency analysis to improve the precision of human body posture algorithms based on Kalman filters
TL;DR: By applying frequency analysis to determine motion intensity, and varying the formerly fixed parameters accordingly, the overall precision of orientation estimation algorithms can be improved, therefore providing physicians with reliable objective data they can use in their daily practice.
Journal ArticleDOI
Discriminative Sparse Features for Alzheimer's Disease Diagnosis Using Multimodal Image Data.
Andrés Ortiz,Francisco Lozano,Juan Manuel Górriz,Javier Ramírez,Francisco J. Martínez Murcia,Alzheimer’s Disease Neuroimaging Initiative +5 more
TL;DR: A novel method to effectively combine SVC classifiers is presented here, which uses the distance to the hyperplane computed for each class in each classifier allowing to select the most discriminative image modality in each case.
Book ChapterDOI
Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines
Javier Ramírez,Juan Manuel Górriz,Miriam Romero López,Diego Salas-Gonzalez,I. Álvarez,Fermín Segovia,Carlos G. Puntonet +6 more
TL;DR: A fully automatic computer-aided diagnosis (CAD) system for improving the accuracy in the early diagnosis of the AD based on feature selection and support vector machine (SVM) classification is shown.
Journal ArticleDOI
Improved likelihood ratio test based voice activity detector applied to speech recognition
TL;DR: This paper presents a novel VAD for improving speech detection robustness in noisy environments and the performance of speech recognition systems in real time applications based on a Multivariate Complex Gaussian observation model and an optimal likelihood ratio test involving multiple and correlated observations.