A. Ortiz

发表

Feature selection in high-dimensional EEG data by parallel multi-objective optimization

Julio Ortega Lopera, Andrés Ortiz, Raul Baños, 2014, 2014 IEEE International Conference on Cluster Computing (CLUSTER).

Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining

Ignacio Rodríguez-Rodríguez, J. Rodríguez, Domingo Pardo-Quiles, 2021, International journal of environmental research and public health.

Erratum to "Unsupervised Neural Techniques Applied to MR Brain Image Segmentation"

Andrés Ortiz, Juan Manuel Górriz, Diego Salas-Gonzalez, 2013, Advances in Artificial Neural Systems.

Case-based statistical learning applied to SPECT image classification

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, Medical Imaging.

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis

Andrés Ortiz, Francisco J. Martinez-Murcia, Francisco J. Martínez-Murcia, 2021, Sensors.

Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information

Andrés Ortiz, Jorge Munilla, Juan Manuel Górriz, 2015, IWINAC.

Power Transformer Forecasting in Smart Grids Using NARX Neural Networks

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego Salas-Gonzalez, 2020 .

Long Short-Term Memory Networks for the Prediction of Transformer Temperature for Energy Distribution Smart Grids

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, 2020 .

Optimized segmentation of Brain MRI using GHSOM and evolutive computing

Andrés Ortiz, Juan Manuel Górriz, Diego Salas-Gonzalez, 2012, KES.

Uncertainty-driven ensembles of multi-scale deep architectures for image classification

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, Inf. Fusion.

A hypothesis-driven method based on machine learning for neuroimaging data analysis

J. Suckling, J. Ramírez, C. Puntonet, 2022, Neurocomputing.

Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults

Enrique Herrera-Viedma, Andrés Ortiz, José Antonio Moral-Muñoz, 2018, SoMeT.

Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm

J. Munilla, A. Ortiz, J. Luque, 2022, 2022 12th International Congress on Advanced Applied Informatics (IIAI-AAI).

Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders

Diego Castillo-Barnes, Francisco J. Martínez-Murcia, Francisco J Martinez-Murcia, 2020, IEEE Journal of Biomedical and Health Informatics.

Assessing Mild Cognitive Impairment Progression using a Spherical Brain Mapping of Magnetic Resonance Imaging.

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2018, Journal of Alzheimer's disease : JAD.

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease

Jorge Munilla, Juan Manuel Górriz, Javier Ramírez, 2017, Front. Neuroinform..

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease

Andrés Ortiz, Jorge Munilla, Juan M. Górriz, 2016, Int. J. Neural Syst..

Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection

Juan M. Górriz, Andrés Ortiz, Javier Ramírez, 2014, PloS one.

Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2014, InMed.

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2013, Pattern Recognit. Lett..

Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies

Juan Manuel Górriz, Diego Salas-Gonzalez, Javier Ramírez, 2013, Appl. Soft Comput..

Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach

Julio Ortega, Andrés Ortiz, Roberto Morales-Ortega, 2020, Int. J. Neural Syst..

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

Javier Ramirez, Juan Manuel Gorriz, Francisco J. Martínez-Murcia, 2020, Int. J. Neural Syst..

Parents’ reading history as an indicator of risk for reading difficulties

A. Ortiz, J. Luque, M. López-Zamora, 2017, Annals of dyslexia.

A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia

Francisco J. Martínez-Murcia, A. Gim'enez, A. Ortiz, 2020, HAIS.

Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning

Li Su, Hiroshi Mori, Andrés Ortiz, 2020, Inf. Fusion.

A Spherical Brain Mapping of MR Images for the Detection of Alzheimer's Disease.

F J Martinez-Murcia, J M Górriz, J Ramírez, 2016, Current Alzheimer research.

Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study

Andrés Ortiz, Cristina Roldán Jiménez, Paul Bennett, 2019, Sensors.

Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares

for the Alzheimer's Disease Neuroimaging Initiative, J. Ramírez, Francisco J. Martínez-Murcia, 2017, Journal of Neuroscience Methods.

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

J. M. GÓRRIZ, J. RAMÍREZ, J. SUCKLING, 2017, IEEE Access.

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling

Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, 2019, Int. J. Neural Syst..

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2016, Int. J. Neural Syst..

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis

Jorge Munilla, Javier Ramírez, Andrés Ortiz, 2015, Front. Comput. Neurosci..

Tuning compilations by multi-objective optimization: Application to Apache web server

Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Jorge Calvo-Zaragoza, 2015, Appl. Soft Comput..

Multi-objective adaptive evolutionary strategy for tuning compilations

Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Andrés Ortiz, 2014, Neurocomputing.

Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2014, Inf. Sci..

Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images pdf

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, A. Ortiz, 2020, ArXiv.

Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

Francisco J. Martínez-Murcia, Francisco J. Mart'inez-Murcia, A. Ortiz, 2021, Knowledge-Based Systems.

Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

Francisco Herrera, Richard J. Duro, Paulo Novais, 2020, Neurocomputing.

Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression

J. Górriz, J. E. Arco, A. Ortiz, 2023, Appl. Soft Comput..

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2014, Neurocomputing.

Discriminative Sparse Features for Alzheimer's Disease Diagnosis Using Multimodal Image Data.

Andres Ortiz, F Lozano, Juan M Gorriz, 2017, Current Alzheimer research.

Granger causality-based information fusion applied to electrical measurements from power transformers

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, 2020, Inf. Fusion.

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2020, Int. J. Neural Syst..

Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, MIUA.

Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression

Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, 2017, MIUA.

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, 2019, IWINAC.

A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI

John Q. Gan, Julio Ortega, Andrés Ortiz, 2017, Neurocomputing.

A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI

Julio Ortega Lopera, Andrés Ortiz, John Q. Gan, 2015, IWANN.

Temporal EigenPAC for dyslexia diagnosis

Andr'es Ortiz, Juan L. Luque, Nicol'as Gallego-Molina, 2021, IWANN.

Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis pdf

Andr'es Ortiz, Marco A. Formoso, Juan L. Luque, 2021, BIOMESIP.

Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms

Julio Ortega, Andrés Ortiz, Juan José Escobar, 2021, Sensors.

An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals

Julio Ortega, Francisco Jesús Martínez-Murcia, Andrés Ortiz, 2019, IWINAC.

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2013, Expert Syst. Appl..

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

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Diego Salas-Gonzalez, 2018, SOCO-CISIS-ICEUTE.

Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks

Jorge Munilla, Juan Manuel Górriz, Diego Salas-Gonzalez, 2019, Front. Neuroinform..

A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease

Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, 2015, IWINAC.

Automatic ROI Selection Using SOM Modelling in Structural Brain MRI

Juan Manuel Górriz, Diego Salas-Gonzalez, Javier Ramírez, 2013, IWINAC.

Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, IWINAC.

Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

J. Górriz, J. E. Arco, A. Ortiz, 2023, Int. J. Neural Syst..

Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

J. Górriz, M. A. Zea-Sevilla, Cristóbal Carnero Pardo, 2023, Int. J. Neural Syst..

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Andrés Ortiz, 2018, Int. J. Neural Syst..

Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks

J. Ramírez, J. Górriz, J. E. Arco, 2022, IWINAC.

Capacity Estimation from Environmental Audio Signals Using Deep Learning

Francisco J. Martínez-Murcia, A. Ortiz, C. Reyes-Daneri, 2022, IWINAC.

Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia

A. Ortiz, J. Luque, N. Gallego-Molina, 2022, IWINAC.

Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning

Francisco J. Martínez-Murcia, J. Ramírez, J. Górriz, 2022, IWINAC.

Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis

Francisco J. Martínez-Murcia, A. Ortiz, N. Gallego-Molina, 2022, IWINAC.

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing

Juan José Escobar, Francisco J. Martínez-Murcia, A. Ortiz, 2022, IWINAC.

Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test

J. Ramírez, J. Górriz, M. A. Zea-Sevilla, 2022, IWINAC.

Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors

Andrés Ortiz, Juan Manuel Górriz, Diego Salas-Gonzalez, 2013, Comput. Math. Methods Medicine.

Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems

Julio Ortega Lopera, Andrés Ortiz, Raul Baños, 2015, EvoApplications.

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off

Jesús González, Julio Ortega, Andrés Ortiz, 2020, PloS one.

Assessing physical activity and functional fitness level using convolutional neural networks

Enrique Herrera-Viedma, Andrés Ortiz, Alejandro Galan-Mercant, 2019, Knowl. Based Syst..

Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs

J. Munilla, A. Ortiz, J. Luque, 2023, Brain Topography.

Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks

Francisco J. Martinez-Murcia, Francisco J. Martínez-Murcia, Andr'es Ortiz, 2020, HAIS.

Parameterization of the distribution of white and grey matter in MRI using the αα-stable distribution

Juan Manuel Górriz, Elmar Wolfgang Lang, Diego Salas-Gonzalez, 2013, Comput. Biol. Medicine.

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease

J. Ramírez, J. Górriz, J. Munilla, 2016, Int. J. Neural Syst..

Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification

Francisco J. Martínez-Murcia, J. Górriz, J. E. Arco, 2023, IEEE Transactions on Emerging Topics in Computational Intelligence.

Editorial: Deep Learning in Aging Neuroscience

Andrés Ortiz, Javier Ramírez, Juan M. Górriz, 2020, Frontiers in Neuroinformatics.

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes

Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, 2019, Neurocomputing.

Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, 2018, SOCO-CISIS-ICEUTE.

Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis

John Q. Gan, Julio Ortega, Andrés Ortiz, 2017, IWANN.

PETRA: A web-based system supporting computer aided diagnosis of alzheimer's disease

F. Segovia, D. Salas-Gonzalez, J. Ramírez, 2016, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD).

PET Image Classification Using HHT-Based Features Through Fractal Sampling

Juan Manuel Górriz, Alberto Peinado, Javier Ramírez, 2017, IWINAC.

Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

Francisco J. Mart'inez-Murcia, A. Ortiz, N. Gallego-Molina, 2022, Knowledge-Based Systems.

Bayesian Classifiers in Intrusion Detection Systems

Julio Ortega, Emiro de la Hoz Franco, Paola Ariza Colpas, 2019, MLN.

A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease

Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, 2017, IWINAC.

A semi-supervised learning approach for model selection based on class-hypothesis testing

Juan Manuel Górriz, Javier Ramírez, Carlos G. Puntonet, 2017, Expert Syst. Appl..

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy

Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Andrés Ortiz, 2020, Neurocomputing.