Andrés Ortiz

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 81

Top Venues

Publications

Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. Appl. Soft Comput. 134 (2023)
Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. Int. J. Neural Syst. 33 (4) (2023)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz
Uncertainty-driven ensembles of multi-scale deep architectures for image classification. Inf. Fusion 89 (2023)
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez, Juan Luis Luque
Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data. Int. J. Neural Syst. 33 (4) (2023)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? CoRR (2023)
Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. Int. J. Neural Syst. 33 (4) (2023)
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, W. L. Woo
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia. Int. J. Neural Syst. 33 (4) (2023)
Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) (2022)
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia. IWINAC (1) (2022)
Guillermo Cotrina, Alberto Peinado, Andrés Ortiz
Efficient Implementation of Stream Cipher SNOW 3G for Resource-Constrained Devices. CISIS-ICEUTE (2022)
Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González
Ant colony optimization for feature selection via a filter-randomized search heuristic. GECCO Companion (2022)
C. Reyes-Daneri, Francisco Jesús Martínez-Murcia, Andrés Ortiz
Capacity Estimation from Environmental Audio Signals Using Deep Learning. IWINAC (1) (2022)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. IWINAC (1) (2022)
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Almudena Giménez
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis. Knowl. Based Syst. 240 (2022)
Carmen Jimenez-Mesa, Juan Eloy Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, Andrés Ortiz, M. Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, T. del Ser-Quijano, C. Carnero-Pardo, Juan Manuel Górriz
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) (2022)
Jorge Munilla, Andrés Ortiz, Haedar Al-Safi, Juan Luis Luque
Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm. IIAI-AAI (2022)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz
Tiled Sparse Coding in Eigenspaces for Image Classification. Int. J. Neural Syst. 32 (3) (2022)
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis. IWINAC (1) (2022)
Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. IWINAC (1) (2022)
Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510 (2022)
Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66 (2021)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. CoRR (2021)
Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque
Temporal EigenPAC for dyslexia diagnosis. CoRR (2021)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, M. Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. CoRR (2021)
D. A. Aquino-Britez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21 (6) (2021)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis. Sensors 21 (21) (2021)
Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP (2021)
Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque
Temporal EigenPAC for Dyslexia Diagnosis. IWANN (2) (2021)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. BIOMESIP (2021)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. Neurocomputing 452 (2021)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. CoRR (2021)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Abarejo, Miguel Lopez-Zamora, Juan Luis Luque
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. Int. J. Neural Syst. 30 (7) (2020)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque, Almudena Giménez, Roberto Cesar Morales-Ortega, Julio Ortega
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach. Int. J. Neural Syst. 30 (7) (2020)
Diego Castillo-Barnes, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN)
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Inf. Fusion 58 (2020)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks. CoRR (2020)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. CoRR (2020)
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. CoRR (2020)
Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57 (2020)
Guillermo Cotrina, Alberto Peinado, Andrés Ortiz
Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers. Sensors 20 (7) (2020)
Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba
Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics 14 (2020)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410 (2020)
Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24 (1) (2020)
Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS (2020)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Marco A. Formoso, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. HAIS (2020)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks. HAIS (2020)
Johan Mardini-Bovea, Emiro de la Hoz Franco, Diego Molina-Estren, Paola Ariza Colpas, Andrés Ortiz, Julio Ortega, César A. Cárdenas R., Carlos Andrés Collazos Morales
Bayesian Classifiers in Intrusion Detection Systems. MLN (2019)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Roberto Cesar Morales-Ortega, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Diego Castillo-Barnes, Fermín Segovia, Ignacio A. Illán, Julio Ortega, Javier Ramírez, Juan Manuel Górriz
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. IWINAC (1) (2019)
Alejandro Galán-Mercant, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas, Beatriz Fernandes, José Antonio Moral-Muñoz
Assessing physical activity and functional fitness level using convolutional neural networks. Knowl. Based Syst. 185 (2019)
Miguel López, Alberto Peinado, Andrés Ortiz
An extensive validation of a SIR epidemic model to study the propagation of jamming attacks against IoT wireless networks. Comput. Networks 165 (2019)
Manuel Martínez-Ibañez, Andrés Ortiz, Jorge Munilla, Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis. IWINAC (1) (2019)
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. Int. J. Neural Syst. 29 (2) (2019)
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. Neurocomputing 330 (2019)
Javier León, Julio Ortega, Andrés Ortiz
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis. IWANN (1) (2019)
Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. Frontiers Neuroinformatics 13 (2019)
Andrés Ortiz, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Francisco Jesús Martínez-Murcia, D. A. Aquino-Britez, Julio Ortega
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals. IWINAC (1) (2019)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermín Segovia
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study. SOCO-CISIS-ICEUTE (2018)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez Perez de Inestrosa, Andrés Ortiz
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? Int. J. Neural Syst. 28 (10) (2018)
Mike Burmester, Jorge Munilla, Andrés Ortiz
Comments on "Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems". IEEE Trans. Inf. Forensics Secur. 13 (11) (2018)
Andrés Ortiz, Javier Ramírez, Ricardo Cruz-Arándiga, María J. García-Tarifa, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz
Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. SOCO-CISIS-ICEUTE (2018)
Alejandro Galán-Mercant, José Antonio Moral-Muñoz, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas
Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults. SoMeT (2018)
Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. IWANN (1) (2017)
Francisco Lozano, Andrés Ortiz, Jorge Munilla, Alberto Peinado
Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis. Knowl. Based Syst. 123 (2017)
Andrés Ortiz, Francisco Lozano, Alberto Peinado, María J. García-Tarifa, J. M. Górriz, Javier Ramírez
PET Image Classification Using HHT-Based Features Through Fractal Sampling. IWINAC (1) (2017)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) (2017)
Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing 250 (2017)
Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Diego Salas-González, Andrés Ortiz
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. IWINAC (1) (2017)
Juan Manuel Górriz, Javier Ramírez, M. Moreno-Caballero, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Ignacio A. Illán, Fermín Segovia, Diego Salas-Gonzalez, Manuel Gómez-Río
Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. MIUA (2017)
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. MIUA (2017)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz, Diego Salas-Gonzalez
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. IWINAC (1) (2017)
Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. Frontiers Neuroinformatics 11 (2017)
Juan Manuel Górriz, Javier Ramírez, John Suckling, Francisco Jesús Martínez-Murcia, Ignacio Álvarez, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Carlos García Puntonet
A semi-supervised learning approach for model selection based on class-hypothesis testing. Expert Syst. Appl. 90 (2017)
Mike Burmester, Jorge Munilla, Andrés Ortiz, Pino Caballero-Gil
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels. Sensors 17 (7) (2017)
Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz
Case-based statistical learning applied to SPECT image classification. Medical Imaging: Computer-Aided Diagnosis (2017)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. IWINAC (1) (2017)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. MIUA (2017)
Miguel López, Alberto Peinado, Andrés Ortiz
A SEIS Model for Propagation of Random Jamming Attacks in Wireless Sensor Networks. SOCO-CISIS-ICEUTE (2016)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease. Int. J. Neural Syst. 26 (7) (2016)
Andrés Ortiz, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease. Int. J. Neural Syst. 26 (7) (2016)
Cristina Rodríguez-Quintana, Antonio F. Díaz, Julio Ortega, Raúl H. Palacios, Andrés Ortiz
A New Scalable Approach for Distributed Metadata in HPC. ICA3PP (2016)
Alberto Peinado, Andrés Ortiz, Guillermo Cotrina
Content-based image authentication using sparse features and SOM trajectories. Log. J. IGPL 24 (1) (2016)
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data. Concurr. Comput. Pract. Exp. 27 (18) (2015)
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems. EvoApplications (2015)
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. Expert Syst. Appl. 42 (9) (2015)
Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Andrés Ortiz, Jorge Calvo-Zaragoza, Luis Alberto Vivas Tejuelo
Tuning compilations by multi-objective optimization: Application to Apache web server. Appl. Soft Comput. 29 (2015)
Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. IWBBIO (1) (2015)
Andrés Ortiz, Miguel Moreno-Estévez, Juan Manuel Górriz, Javier Ramírez, María J. García-Tarifa, Jorge Munilla, Nuria Haba
Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information. IWINAC (1) (2015)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, I. Álvarez Illán
A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease. IWINAC (1) (2015)
Eduardo de la Hoz Correa, Emiro de la Hoz Franco, Andrés Ortiz, Julio Ortega Lopera, Beatriz Prieto
PCA filtering and probabilistic SOM for network intrusion detection. Neurocomputing 164 (2015)
Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. IWANN (1) (2015)
Andrés Ortiz, Jorge Munilla, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis. Frontiers Comput. Neurosci. 9 (2015)
Antonio Martínez-Álvarez, Jorge Calvo-Zaragoza, Sergio Cuenca-Asensi, Andrés Ortiz, Antonio Jimeno-Morenilla
Multi-objective adaptive evolutionary strategy for tuning compilations. Neurocomputing 123 (2014)
Alberto Peinado, Andrés Ortiz
Prediction of Sequences Generated by LFSR Using Back Propagation MLP. SOCO-CISIS-ICEUTE (2014)
Andrés Ortiz, J. M. Górriz, Javier Ramírez, Diego Salas-Gonzalez
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering. Inf. Sci. 262 (2014)
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Ignacio Álvarez Illán, Andrés Ortiz
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging. Neurocomputing 126 (2014)
Emiro de la Hoz Franco, Eduardo de la Hoz Correa, Andrés Ortiz, Julio Ortega Lopera, Antonio Martínez-Álvarez
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps. Knowl. Based Syst. 71 (2014)
Andrés Ortiz, Daniel Fajardo, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia
Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation. InMed (2014)
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
Feature selection in high-dimensional EEG data by parallel multi-objective optimization. CLUSTER (2014)
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures. J. Comput. Sci. Technol. 28 (3) (2013)
Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez, Matthias Schloegl, Elmar Wolfgang Lang, Andrés Ortiz
α-stable distribution. Comput. Biol. Medicine 43 (5) (2013)

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Andrés Ortiz