Andrés Ortiz
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Ensembles of deep learning architectures for the early diagnosis of the Alzheimer’s disease
A Ortiz, J Munilla, JM Gorriz, J Ramirez
International journal of neural systems 26 (07), 1650025, 2016
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
E De la Hoz, E De La Hoz, A Ortiz, J Ortega, A Martínez-Álvarez
Knowledge-Based Systems 71, 322-338, 2014
PCA filtering and probabilistic SOM for network intrusion detection
E De la Hoz, E De La Hoz, A Ortiz, J Ortega, B Prieto
Neurocomputing 164, 71-81, 2015
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies
A Ortiz, JM Górriz, J Ramírez, D Salas-Gonzalez, JM Llamas-Elvira
Applied Soft Computing 13 (5), 2668-2682, 2013
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
A Ortiz, JM Górriz, J Ramírez, FJ Martínez-Murcia, ...
Pattern Recognition Letters 34 (14), 1725-1733, 2013
Distance bounding protocols with void-challenges for RFID
J Munilla, A Ortiz, A Peinado
Printed handout at the Workshop on RFID Security–RFIDSec 6, 2006
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering
A Ortiz, JM Gorriz, J Ramirez, D Salas-Gonzalez
Information Sciences 262, 117-136, 2014
Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors
A Ortiz, AA Palacio, JM Górriz, J Ramírez, D Salas-González
Computational and mathematical methods in medicine 2013, 2013
Studying the manifold structure of Alzheimer's disease: A deep learning approach using convolutional autoencoders
FJ Martinez-Murcia, A Ortiz, JM Gorriz, J Ramirez, D Castillo-Barnes
IEEE Journal of Biomedical and Health Informatics 24 (1), 17-26, 2019
Application of empirical mode decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson disease
A Rojas, JM Górriz, J Ramírez, IA Illán, FJ Martínez-Murcia, A Ortiz, ...
Expert Systems with Applications 40 (7), 2756-2766, 2013
Non-pharmacological approaches to the prevention and treatment of Alzheimer’s disease with respect to the rising treatment costs
B Klimova, P Maresova, K Kuca
Current Alzheimer Research 13 (11), 1249-1258, 2016
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's disease diagnosis
A Ortiz, J Munilla, I Álvarez-Illán, JM Górriz, J Ramírez, ...
Frontiers in computational neuroscience 9, 132, 2015
Convolutional neural networks for neuroimaging in parkinson’s disease: is preprocessing needed?
FJ Martinez-Murcia, JM Górriz, J Ramírez, A Ortiz
International journal of neural systems 28 (10), 1850035, 2018
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
JM Górriz, J Ramírez, A Ortíz, FJ Martinez-Murcia, F Segovia, J Suckling, ...
Neurocomputing 410, 237-270, 2020
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
FJ Martínez-Murcia, JM Górriz, J Ramírez, IA Illán, A Ortiz, ...
Neurocomputing 126, 58-70, 2014
Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization
A Ortiz, JM Gorriz, J Ramírez, D Salas-Gonzalez, ...
Neurocomputing 114, 118-131, 2013
Network anomaly classification by support vector classifiers ensemble and non-linear projection techniques
E De La Hoz, A Ortiz, J Ortega, E De la Hoz
International Conference on Hybrid Artificial Intelligence Systems, 103-111, 2013
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection
D Kimovski, J Ortega, A Ortiz, R Baños
Expert Systems with Applications 42 (9), 4239-4252, 2015
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares
J Ramírez, JM Górriz, A Ortiz, FJ Martínez-Murcia, F Segovia, ...
Journal of neuroscience methods 302, 47-57, 2018
Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection
J Ortega, J Asensio-Cubero, JQ Gan, A Ortiz
Biomedical engineering online 15 (1), 149-164, 2016
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