Andrés Ortiz

159 papers B 2C 9Misc 14Journal 81Unranked 53
YearRankTypeTitle / Venue / Authors
2026 J jnl
DualFlexKAN: Dual-stage Kolmogorov-Arnold Networks with Independent Function Control.
CoRR
Andrés Ortiz, Nicolás J. Gallego-Molina, Carmen Jiménez-Mesa, Juan M. Górriz, Javier Ramírez
2025 J jnl
A Bayesian framework for phase-amplitude cross-frequency coupling inference: Application to reading disability detection.
Expert Syst. Appl.
Diego Castillo-Barnes, Andrés Ortiz, Patrícia Figueiredo, Nicolás Gallego-Molina
2025 — conf
Balancing Accuracy and Energy Efficiency in EEG Classification: An Evaluation of Wrapper-Based Approaches.
IWBBIO (1)
Juan José Escobar, Diego A. Aquino Brítez, Beatriz Prieto, Rodrigo Javier Martinez, Gloria Marcela Ortiz, Andrés Ortiz
2025 J jnl
Directed Weighted EEG Connectogram Insights of One-to-One Causality for Identifying Developmental Dyslexia.
Int. J. Neural Syst.
Ignacio Rodríguez-Rodríguez, José Ignacio Mateo-Trujillo, Andrés Ortiz, Nicolás J. Gallego-Molina, Diego Castillo-Barnes, Juan Luis Luque
2025 — conf
Exploring Brain Lateralization Using Tensor Decomposition of EEG Phase-Amplitude Coupling.
IWANN (2)
Andrés Ortiz, Nicolás J. Gallego-Molina, Ignacio Rodríguez-Rodríguez, Alberto Peinado, Maria Dolores Gil Montoya, Pablo Martínez-Cañada, Christian A. Morillas
2025 J jnl
Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation.
Int. J. Neural Syst.
Nicolás J. Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Wai Lok Woo
2024 Misc conf
A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test.
IWINAC
Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz
2024 Misc conf
A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia.
IWINAC
Nicolás Gallego-Molina, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Diego Castillo-Barnes, Andrés Ortiz, Javier Ramírez, J. M. Górriz, Pedro Javier Lopez-Perez, Juan Luis Luque
2024 — conf
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy.
IWBBIO (1)
Juan José Escobar, Jesús López-Rodríguez, Diego García-Gil, Roberto Morcillo-Jiménez, Beatriz Prieto, Andrés Ortiz, Dragi Kimovski
2024 Misc conf
Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony.
IWINAC
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque
2024 — conf
Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners.
IWINAC (2)
J. Ignacio Mateo-Trujillo, Diego Castillo-Barnes, Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Alberto Peinado, Juan Luis Luque, Auxiliadora Sánchez-Gómez
2024 Misc conf
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection.
IWINAC
Diego Castillo-Barnes, Andrés Ortiz, Pietro Stabile, Nicolás Gallego-Molina, Patrícia Figueiredo, Juan Luis Luque
2024 Misc conf
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
IWINAC
Nicolás Gallego-Molina, Andrés Ortiz, Marco A. Formoso, Francisco Jesús Martínez-Murcia, Wai Lok Woo
2024 Misc conf
Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia.
IWINAC
Marco A. Formoso, Nicolás Gallego-Molina, Andrés Ortiz, Ignacio Rodríguez-Rodríguez, Almudena Giménez
2024 Misc conf
Extracting Heart Rate Variability from NIRS Signals for an Explainable Detection of Learning Disorders.
IWINAC
Juan Eloy Arco, Nicolás Gallego-Molina, Pedro Javier Lopez-Perez, Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz
2024 J jnl
Identifying HRV patterns in ECG signals as early markers of dementia.
Expert Syst. Appl.
Juan Eloy Arco, Nicolás Gallego-Molina, Andrés Ortiz, Katy Arroyo-Alvis, Pedro Javier Lopez-Perez
2024 J jnl
Is K-fold cross validation the best model selection method for Machine Learning?
CoRR
Juan Manuel Górriz, Fermín Segovia, Javier Ramírez, Andrés Ortiz, John Suckling
2024 Misc conf
Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling.
IWINAC
Andrés Ortiz, Nicolás Gallego-Molina, Diego Castillo-Barnes, Ignacio Rodríguez-Rodríguez, Juan Manuel Górriz
2023 J jnl
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters.
Computing
Juan José Escobar, Francisco Rodríguez, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
2023 J jnl
Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data.
Int. J. Neural Syst.
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez, Juan Luis Luque
2023 J jnl
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion
J. M. Górriz, I. Álvarez Illán, Agustín Álvarez-Marquina, Juan Eloy Arco, Martin Atzmüller, F. Ballarini, Emilia I. Barakova, Guido Bologna, María Paula Bonomini, Germán Castellanos-Domínguez, Diego Castillo-Barnes, S. B. Cho, A. Ricardo Contreras, J. M. Cuadra, Enrique Domínguez, Francisco Domínguez-Mateos, Richard J. Duro, David A. Elizondo, Antonio Fernández-Caballero, Eduardo Fernández, Marco A. Formoso, Nicolás Gallego-Molina, Javier Gamazo, Javier González Jiménez, Jacob Rodriguez-Rivero, Carlos Garre del Olmo, F. Javier Garrigós, Andrés Gómez-Rodellar, Pedro Gómez-Vilda, Manuel Graña, Bernabé Rodríguez-Tapia, Sophie C. F. Hendrikse, Carmen Jimenez-Mesa, Marina Jodra-Chuan, Vicente Julián, G. Gabriela Kotz, Krzysztof Kutt, Matthew Leming, Javier de Lope Asiaín, Beatriz del Cisne Macas Ordónez, V. Marrero-Aguiar, José Javier Martínez, Francisco Jesús Martínez-Murcia, Rafael Martínez-Tomás, Jirí Mekyska, Grzegorz J. Nalepa, Paulo Novais, D. Orellana, Andrés Ortiz, Daniel Palacios-Alonso, José T. Palma, António Pereira, Pedro Pinacho Davidson, María Angélica Pinninghoff, M. Ponticorvo, Alexandra Psarrou, Javier Ramírez, Mariano Rincón, Victoria Rodellar-Biarge, Ignacio Rodríguez-Rodríguez, Peter H. M. P. Roelofsma, José Santos, Diego Salas-Gonzalez, Pedro Salcedo Lagos, Fermín Segovia, Afshin Shoeibi, M. Silva, Dragan Simic, John Suckling, Jan Treur, Athanasios Tsanas, Ramiro Varela, Shui-Hua Wang, Wei Wang, Yu-Dong Zhang, Hengde Zhu, Ziquan Zhu, José Manuel Ferrández-Vicente
2023 J jnl
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
CoRR
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz
2023 J jnl
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
CoRR
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Perez, Miguel López-Zamora, Juan Luis Luque
2023 J jnl
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia.
Int. J. Neural Syst.
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo
2023 — conf
Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms.
IWANN (1)
Juan José Escobar, Francisco Rodríguez, Rukiye Savran Kiziltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Miguel Damas
2023 J jnl
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Int. J. Neural Syst.
Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez
2023 J jnl
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.
Appl. Soft Comput.
Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
2023 J jnl
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality.
CoRR
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo
2023 J jnl
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.
IEEE Trans. Emerg. Top. Comput. Intell.
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz
2023 J jnl
Uncertainty-driven ensembles of multi-scale deep architectures for image classification.
Inf. Fusion
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz
2023 J jnl
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.
Int. J. Neural Syst.
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
2022 J jnl
A hypothesis-driven method based on machine learning for neuroimaging data analysis.
CoRR
J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling
2022 J jnl
A hypothesis-driven method based on machine learning for neuroimaging data analysis.
Neurocomputing
Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling
2022 — conf
Ant colony optimization for feature selection via a filter-randomized search heuristic.
GECCO Companion
Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González
2022 — conf
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.
IWINAC (1)
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
2022 — conf
Capacity Estimation from Environmental Audio Signals Using Deep Learning.
IWINAC (1)
C. Reyes-Daneri, Francisco Jesús Martínez-Murcia, Andrés Ortiz
2022 J jnl
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis.
Knowl. Based Syst.
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Almudena Giménez
2022 — conf
Efficient Implementation of Stream Cipher SNOW 3G for Resource-Constrained Devices.
CISIS-ICEUTE
Guillermo Cotrina, Alberto Peinado, Andrés Ortiz
2022 — conf
Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm.
IIAI-AAI
Jorge Munilla, Andrés Ortiz, Haedar Al-Safi, Juan Luis Luque
2022 — conf
Graph signal processing to identify biomarkers in brain networks in dementia.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Amirhessam Tahmassebi, Kevin Mueller, Uwe Meyer-Baese, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese
2022 — conf
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia.
IWINAC (1)
Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque
2022 — conf
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.
IWINAC (1)
Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez
2022 — conf
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing.
IWINAC (1)
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque
2022 J jnl
Tiled Sparse Coding in Eigenspaces for Image Classification.
Int. J. Neural Syst.
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz
2022 — conf
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
IWINAC (1)
Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
2022 — conf
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis.
IWINAC (1)
Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez
2021 J jnl
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy.
Neurocomputing
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz
2021 J jnl
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.
Sensors
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque
2021 — conf
Identifying the diffusion source of dementia spreading in structural brain networks.
Biomedical Applications in Molecular, Structural, and Functional Imaging
Luke Van Popering, Amirhessam Tahmassebi, Uwe Meyer-Baese, Martin Dyrba, Jorge Munilla, Andrés Ortiz, Anke Meyer-Baese
2021 — conf
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.
BIOMESIP
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya
2021 J jnl
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis.
CoRR
Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque
2021 J jnl
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors
Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar
2021 J jnl
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.
CoRR
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz
2021 — conf
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification.
BIOMESIP
Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas
2021 J jnl
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion
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
2021 — conf
Temporal EigenPAC for Dyslexia Diagnosis.
IWANN (2)
Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque
2021 J jnl
Temporal EigenPAC for dyslexia diagnosis.
CoRR
Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque
2021 J jnl
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images.
CoRR
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz
2020 Misc conf
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia.
HAIS
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Marco A. Formoso, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez
2020 J jnl
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia.
CoRR
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez
2020 J jnl
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing
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
2020 J jnl
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion
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)
2020 Misc conf
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification.
HAIS
Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega
2020 Misc conf
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks.
HAIS
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez
2020 J jnl
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
Int. J. Neural Syst.
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque, Almudena Giménez, Roberto Cesar Morales-Ortega, Julio Ortega
2020 J jnl
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks.
CoRR
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez
2020 J jnl
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
Int. J. Neural Syst.
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Abarejo, Miguel Lopez-Zamora, Juan Luis Luque
2020 J jnl
Editorial: Deep Learning in Aging Neuroscience.
Frontiers Neuroinformatics
Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba
2020 J jnl
Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers.
Sensors
Guillermo Cotrina, Alberto Peinado, Andrés Ortiz
2020 J jnl
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion
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
2020 J jnl
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data.
IEEE J. Biomed. Health Informatics
Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun
2020 J jnl
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE J. Biomed. Health Informatics
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes
2020 J jnl
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR
Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz
2019 — conf
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals.
IWINAC (1)
Andrés Ortiz, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Julio Ortega
2019 J jnl
An extensive validation of a SIR epidemic model to study the propagation of jamming attacks against IoT wireless networks.
Comput. Networks
Miguel López, Alberto Peinado, Andrés Ortiz
2019 J jnl
Assessing physical activity and functional fitness level using convolutional neural networks.
Knowl. Based Syst.
Alejandro Galán-Mercant, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas, Beatriz Fernandes, José Antonio Moral-Muñoz
2019 — conf
Bayesian Classifiers in Intrusion Detection Systems.
MLN
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
2019 — conf
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis.
IWANN (1)
Javier León, Julio Ortega, Andrés Ortiz
2019 J jnl
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Int. J. Neural Syst.
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
2019 — conf
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis.
IWINAC (1)
Manuel Martínez-Ibañez, Andrés Ortiz, Jorge Munilla, Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez
2019 J jnl
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes.
Neurocomputing
Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
2019 J jnl
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks.
Frontiers Neuroinformatics
Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
2019 — conf
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia.
IWINAC (1)
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
2018 J jnl
Comments on "Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems".
IEEE Trans. Inf. Forensics Secur.
Mike Burmester, Jorge Munilla, Andrés Ortiz
2018 J jnl
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Int. J. Neural Syst.
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez Perez de Inestrosa, Andrés Ortiz
2018 — conf
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
SOCO-CISIS-ICEUTE
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermín Segovia
2018 C conf
Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults.
SoMeT
Alejandro Galán-Mercant, José Antonio Moral-Muñoz, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas
2018 — conf
Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder.
SOCO-CISIS-ICEUTE
Andrés Ortiz, Javier Ramírez, Ricardo Cruz-Arándiga, María J. García-Tarifa, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz
2017 — conf
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease.
IWINAC (1)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán
2017 — conf
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.
IWANN (1)
Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas
2017 J jnl
A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl.
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
2017 J jnl
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI.
Neurocomputing
Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2017 J jnl
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels.
Sensors
Mike Burmester, Jorge Munilla, Andrés Ortiz, Pino Caballero-Gil
2017 — conf
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
IWINAC (1)
Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz, Diego Salas-Gonzalez
2017 J jnl
Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis.
Knowl. Based Syst.
Francisco Lozano, Andrés Ortiz, Jorge Munilla, Alberto Peinado
2017 — conf
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
IWINAC (1)
Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Diego Salas-González, Andrés Ortiz
2017 — conf
Case-based statistical learning applied to SPECT image classification.
Computer-Aided Diagnosis
Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz
2017 J jnl
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.
Frontiers Neuroinformatics
Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative
2017 — conf
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis.
IWANN (1)
Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver
2017 — conf
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis.
MIUA
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz
2017 — conf
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression.
MIUA
Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez
2017 — conf
PET Image Classification Using HHT-Based Features Through Fractal Sampling.
IWINAC (1)
Andrés Ortiz, Francisco Lozano, Alberto Peinado, María J. García-Tarifa, J. M. Górriz, Javier Ramírez
2017 — conf
Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes.
MIUA
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
2016 C conf
A New Scalable Approach for Distributed Metadata in HPC.
ICA3PP
Cristina Rodríguez-Quintana, Antonio F. Díaz, Julio Ortega, Raúl H. Palacios, Andrés Ortiz
2016 — conf
A SEIS Model for Propagation of Random Jamming Attacks in Wireless Sensor Networks.
SOCO-CISIS-ICEUTE
Miguel López, Alberto Peinado, Andrés Ortiz
2016 J jnl
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease.
Int. J. Neural Syst.
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz
2016 J jnl
Content-based image authentication using sparse features and SOM trajectories.
Log. J. IGPL
Alberto Peinado, Andrés Ortiz, Guillermo Cotrina
2016 J jnl
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.
Int. J. Neural Syst.
Andrés Ortiz, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez
2015 — conf
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI.
IWANN (1)
Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2015 — conf
A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease.
IWINAC (1)
Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, I. Álvarez Illán
2015 — conf
Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information.
IWINAC (1)
Andrés Ortiz, Miguel Moreno-Estévez, Juan Manuel Górriz, Javier Ramírez, María J. García-Tarifa, Jorge Munilla, Nuria Haba
2015 — conf
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI.
IWBBIO (1)
Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz
2015 J jnl
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.
Frontiers Comput. Neurosci.
Andrés Ortiz, Jorge Munilla, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez
2015 J jnl
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data.
Concurr. Comput. Pract. Exp.
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
2015 J jnl
PCA filtering and probabilistic SOM for network intrusion detection.
Neurocomputing
Eduardo de la Hoz Correa, Emiro de la Hoz Franco, Andrés Ortiz, Julio Ortega Lopera, Beatriz Prieto
2015 B conf
Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems.
EvoApplications
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
2015 J jnl
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection.
Expert Syst. Appl.
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
2015 J jnl
Tuning compilations by multi-objective optimization: Application to Apache web server.
Appl. Soft Comput.
Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Andrés Ortiz, Jorge Calvo-Zaragoza, Luis Alberto Vivas Tejuelo
2014 J jnl
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging.
Neurocomputing
Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Ignacio Álvarez Illán, Andrés Ortiz
2014 J jnl
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps.
Knowl. Based Syst.
Emiro de la Hoz Franco, Eduardo de la Hoz Correa, Andrés Ortiz, Julio Ortega Lopera, Antonio Martínez-Álvarez
2014 C conf
Feature selection in high-dimensional EEG data by parallel multi-objective optimization.
CLUSTER
Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños
2014 J jnl
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering.
Inf. Sci.
Andrés Ortiz, J. M. Górriz, Javier Ramírez, Diego Salas-Gonzalez
2014 J jnl
Multi-objective adaptive evolutionary strategy for tuning compilations.
Neurocomputing
Antonio Martínez-Álvarez, Jorge Calvo-Zaragoza, Sergio Cuenca-Asensi, Andrés Ortiz, Antonio Jimeno-Morenilla
2014 — conf
Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation.
InMed
Andrés Ortiz, Daniel Fajardo, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia
2014 — conf
Prediction of Sequences Generated by LFSR Using Back Propagation MLP.
SOCO-CISIS-ICEUTE
Alberto Peinado, Andrés Ortiz
2013 J jnl
Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures.
J. Comput. Sci. Technol.
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2013 J jnl
Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease.
Expert Syst. Appl.
A. Rojas, J. M. Górriz, Javier Ramírez, Ignacio Álvarez Illán, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Manuel Gómez-Río, M. Moreno-Caballero
2013 — conf
Content-Based Image Authentication Using Local Features and SOM Trajectories.
SOCO-CISIS-ICEUTE
Alberto Peinado, Andrés Ortiz, Guillermo Cotrina
2013 J jnl
Cryptanalysis of a key refreshment scheme for multicast protocols by means of genetic algorithm.
Log. J. IGPL
Alberto Peinado, Andrés Ortiz
2013 — conf
Cryptanalysis of the Improvement of an Authentication Scheme Based on the Chinese Remainder Theorem for Multicast Communications.
SOCO-CISIS-ICEUTE
Alberto Peinado, Andrés Ortiz, Guillermo Cotrina
2013 J jnl
Erratum to "Unsupervised Neural Techniques Applied to MR Brain Image Segmentation".
Adv. Artif. Neural Syst.
Andrés Ortiz, Juan Manuel Górriz Sáez, Javier Ramírez, Diego Salas-Gonzalez
2013 J jnl
Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization.
Neurocomputing
Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
2013 J jnl
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease.
Pattern Recognit. Lett.
Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia
2013 J jnl
Leveraging bandwidth improvements to web servers through enhanced network interfaces.
J. Supercomput.
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Mancia Anguita
2013 Misc conf
Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques.
HAIS
Eduardo de la Hoz Correa, Andrés Ortiz, Julio Ortega Lopera, Emiro de la Hoz Franco
2013 J jnl
Parameterization of the distribution of white and grey matter in MRI using the
Comput. Biol. Medicine
Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez, Matthias Schloegl, Elmar Wolfgang Lang, Andrés Ortiz
2013 J jnl
Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors.
Comput. Math. Methods Medicine
Andrés Ortiz, Antonio Andrés Palacio Soler, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
2013 J jnl
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies.
Appl. Soft Comput.
Andrés Ortiz, J. M. Górriz, Javier Ramírez, Diego Salas-Gonzalez, José M. Llamas-Elvira
2012 B conf
Optimized segmentation of Brain MRI using GHSOM and evolutive computing.
KES
Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
2012 — conf
Unsupervised Classification of Audio Signals by Self-Organizing Maps and Bayesian Labeling.
HAIS (1)
Ricardo Cruz, Andrés Ortiz, Ana M. Barbancho, Isabel Barbancho
2012 J jnl
Unsupervised Neural Techniques Applied to MR Brain Image Segmentation.
Adv. Artif. Neural Syst.
Andrés Ortiz, Juan Manuel Górriz Sáez, Javier Ramírez, Diego Salas-Gonzalez
2011 J jnl
Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures.
J. Supercomput.
Pablo Cascón, Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Ignacio Rojas
2011 Misc conf
Cryptanalysis of Multicast Protocols with Key Refreshment Based on the Extended Euclidean Algorithm.
CISIS
Alberto Peinado, Andrés Ortiz
2011 C conf
Improving Dynamic Web Servers by Affinity-Based Network Interfaces.
PDP
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2011 — conf
MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method.
IWINAC (2)
Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez
2011 — conf
Network Intrusion Prevention by Using Hierarchical Self-Organizing Maps and Probability-Based Labeling.
IWANN (1)
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2010 J jnl
Network interfaces for programmable NICs and multicore platforms.
Comput. Networks
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2010 — conf
Robotic vehicles to simulate RFID-based vehicular ad hoc networks.
SimuTools
Jorge Munilla, Andrés Ortiz, Alberto Peinado
2010 — conf
What Signal Processing Can Do for the Music.
CMMR
Isabel Barbancho, Lorenzo J. Tardón, Ana M. Barbancho, Andrés Ortiz, Simone Sammartino, Cristina de la Bandera
2010 C conf
What can RFID do for Vanets? - A Cryptographic Point of View.
SECRYPT
Jorge Munilla, Andrés Ortiz, Alberto Peinado
2009 C conf
A New Offloaded/Onloaded Network Interface for High Performance Communication.
PDP
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2009 Misc conf
A Scaled Test Bench for Vanets with RFID Signalling.
CISIS
Andrés Ortiz, Alberto Peinado, Jorge Munilla
2009 — conf
Improving the Performance of Bandwidth-Demanding Applications by a Distributed Network Interface.
IWANN (2)
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2009 J jnl
Protocol offload analysis by simulation.
J. Syst. Archit.
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Pablo Cascón, Alberto Prieto
2008 C conf
Comparison of Onloading and Offloading Strategies to Improve Network Interfaces.
PDP
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2007 C conf
Analyzing the benefits of protocol offload by full-system simulation.
PDP
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2007 J jnl
Modeling Network Behaviour By Full-System Simulation.
J. Softw.
Andrés Ortiz, Julio Ortega, Antonio F. Díaz, Alberto Prieto
2006 C conf
Protocol Offload Evaluation Using Simics.
CLUSTER
Andrés Ortiz, Julio Ortega Lopera, Antonio F. Díaz, Alberto Prieto
2004 — conf
SMS transmission using PDU mode and 7-bit coding scheme.
ICWI
Andrés Ortiz, Alberto Prieto