Andrés Ortíz García

Universidad de Málaga

Publicaciones

Balancing Accuracy and Energy Efficiency in EEG Classification: An Evaluation of Wrapper-Based Approaches
Exploring Brain Lateralization Using Tensor Decomposition of EEG Phase-Amplitude Coupling
A Bayesian framework for phase-amplitude cross-frequency coupling inference: Application to reading disability detection

Expert Systems with Applications

Directed Weighted EEG Connectogram Insights of One-to-One Causality for Identifying Developmental Dyslexia

International Journal of Neural Systems

Explainable Inter-Modality Medical Information Transfer Using Siamese Autoencoders

IEEE Transactions on Radiation and Plasma Medical Sciences

Multimodal Integration of EEG and Near-Infrared Spectroscopy for Robust Cross-Frequency Coupling Estimation

International Journal of Neural Systems

Optimizing dyslexia intervention through an adaptive sequential recommender system

Knowledge-Based Systems

Towards an Energy Consumption Index for Deep Learning Models: A Comparative Analysis of Architectures, GPUs, and Measurement Tools

Sensors

A Comparative Study of Deep Learning Approaches for Cognitive Impairment Diagnosis Based on the Clock-Drawing Test
Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Energy Efficiency Evaluation of Frameworks for Algorithms in Time Series Forecasting
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters

Computing

Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

International Journal of Neural Systems

EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia

International Journal of Neural Systems

Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism

International Journal of Neural Systems

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

Applied Soft Computing

Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs

Brain Topography

NEURAL SOURCE/SINK PHASE CONNECTIVITY IN DEVELOPMENTAL DYSLEXIA BY MEANS OF INTERCHANNEL CAUSALITY
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification
AUTHORS: Juan E. Arco; Andrés Ortiz; Javier Ramírez; Francisco J. Martínez-Murcia; Yu-Dong Zhang; Jordi Broncano; M. Álvaro Berbís; Javier Royuela-del-Val; Antonio Luna; Juan M. Górriz

IEEE Transactions on Emerging Topics in Computational Intelligence

Uncertainty-driven ensembles of multi-scale deep architectures for image classification
AUTHORS: Arco, Juan E.; Ortiz, Andres; Ramirez, Javier; Martinez-Murcia, Francisco J.; Zhang, Yu-Dong; Gorriz, Juan M.

Information Fusion

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review

Journal of Medical Internet Research

Use of Artificial Intelligence in the Identification and Diagnosis of Frailty Syndrome in Older Adults: Scoping Review (Preprint)
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern

International Journal of Neural Systems

A hypothesis-driven method based on machine learning for neuroimaging data analysis
AUTHORS: Gorriz, J. M.; Martin-Clemente, R.; Puntonet, C. G.; Ortiz, A.; Ramirez, J.; Suckling, J.

Neurocomputing

A HYPOTHESIS-DRIVEN METHOD BASED ON MACHINE LEARNING FOR NEUROIMAGING DATA ANALYSIS

arXiv

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

ArXiv

Ant colony optimization for feature selection via a filter-randomized search heuristic

GECCO 2022 Companion - Proceedings of the 2022 Genetic and Evolutionary Computation Conference

Capacity Estimation from Environmental Audio Signals Using Deep Learning
AUTHORS: Reyes-Daneri, C.; Martinez-Murcia, F. J.; Ortiz, A.

Lecture Notes in Computer Science

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

Knowledge-Based Systems

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

Proceedings - 2022 12th International Congress on Advanced Applied Informatics, IIAI-AAI 2022

Graph Signal Processing to Identify Biomarkers in Brain Networks in Dementia

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Security and Efficiency of Linear Feedback Shift Registers in GF(2n) Using n-Bit Grouped Operations

Mathematics

Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing
AUTHORS: Formoso, Marco A.; Ortiz, Andres; Martinez-Murcia, Francisco J.; Britez, Diego Aquino; Escobar, Juan Jose; Luque, Juan Luis

Lecture Notes in Computer Science

Tiled Sparse Coding in Eigenspaces for Image Classification
AUTHORS: Arco, Juan E.; Ortiz, Andres; Ramirez, Javier; Zhang, Yu-Dong; Gorriz, Juan M.

International Journal of Neural Systems

Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis
AUTHORS: Gallego-Molina, Nicolas J.; Ortiz, Andres; Martinez-Murcia, Francisco J.; Rodriguez-Rodriguez, Ignacio

Lecture Notes in Computer Science

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

International Journal of Environmental Research and Public Health

Characterizing two outbreak waves of COVID-19 in Spain using phenomenological epidemic modelling

PLoS ONE

Characterizing two outbreak waves of COVID-19 in Spain using phenomenological epidemic modelling
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis

arXiv

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

ArXiv

Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy
AUTHORS: Martinez-Murcia, Francisco J.; Ortiz, Andres; Ramirez, Javier; Gorriz, Juan M.; Cruz, Ricardo

Neurocomputing

Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis
AUTHORS: Marco A. Formoso; Andrés Ortiz; Francisco J. Martinez-Murcia; Nicolás Gallego; Juan L. Luque

Sensors

Gaussian Pseudorandom Number Generator Using Linear Feedback Shift Registers in Extended Fields

Mathematics

Identifying the diffusion source of dementia spreading in structural brain networks

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Modelling brain connectivity networks by graph embedding for dyslexia diagnosis

arXiv

Optimization of deep architectures for eeg signal classification: An automl approach using evolutionary algorithms

Sensors

PROBABILISTIC COMBINATION OF EIGENLUNGS-BASED CLASSIFIERS FOR COVID-19 DIAGNOSIS IN CHEST CT IMAGES

arXiv

Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities

Information Fusion

Temporal EigenPAC for Dyslexia Diagnosis
AUTHORS: Gallego-Molina, Nicolas J.; Formoso, Marco; Ortiz, Andres; Martinez-Murcia, Francisco J.; Luque, Juan L.

Lecture Notes in Computer Science

Temporal EigenPAC for Dyslexia diagnosis

arXiv

Temporal EigenPAC for dyslexia diagnosis

ArXiv

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

ArXiv

Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images

arXiv

Understanding power quality using iot-based smart analyzers and advanced software tools

Renewable Energy and Power Quality Journal

A neural approach to ordinal regression for the preventive assessment of developmental dyslexia

arXiv

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

Neurocomputing

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

Information Fusion

Deep learning for EEG-based motor imagery classification: Accuracy-cost trade-off

PLoS ONE

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

International Journal of Neural Systems

Editorial: Deep Learning in Aging Neuroscience
AUTHORS: Ramírez, J.; Górriz, J.M.; Ortiz, A.; Cole, J.H.; Dyrba, M.

Frontiers in Neuroinformatics

EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia

International Journal of Neural Systems

Gaussian pseudorandom number generator based on cyclic rotations of linear feedback shift registers

Sensors (Switzerland)

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

Information Fusion

Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data

IEEE Journal of Biomedical and Health Informatics

Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease
AUTHORS: Castillo-Barnes, D.; Martinez-Murcia, F.J.; Ortiz, A.; Salas-Gonzalez, D.; Ramírez, J.; Górriz, J.M.

International Journal of Neural Systems

Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
AUTHORS: Francisco J. Martinez-Murcia; Andres Ortiz; Juan-Manuel Gorriz; Javier Ramirez; Diego Castillo-Barnes

IEEE Journal of Biomedical and Health Informatics

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

arXiv

An extensive validation of a SIR epidemic model to study the propagation of jamming attacks against IoT wireless networks

Computer Networks

Assessing physical activity and functional fitness level using convolutional neural networks

Knowledge-Based Systems

COMPARISON OF TOOLS TO EVALUATE THE QUALITY OF UNIVERSITY TEACHING

Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN)

Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling
AUTHORS: Ortiz, A.; Munilla, J.; Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.

International Journal of Neural Systems

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

Sensors

Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes
AUTHORS: Andrés Ortiz; Francisco J. Martínez Murcia; Jorge Munilla; Juan M. Górriz; Javier Ramírez

Neurocomputing

Parkinson’s disease detection using isosurfaces-based features and convolutional neural networks

Frontiers in Neuroinformatics

Periodogram Connectivity of EEG Signals for the Detection of Dyslexia

Understanding the Brain Function and Emotions

3D-CNN HadNet classification of MRI for Alzheimer’s Disease diagnosis
AUTHORS: Sahumbaiev, I.; Popov, A.; Ramírez, J.; Górriz, J.M.; Ortiz, A.

2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer’s Disease

2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings

Assessing mild cognitive impairment progression using a spherical brain mapping of magnetic resonance imaging

Journal of Alzheimer's Disease

Comments on ‘Unreconciled collisions uncover cloning attacks in anonymous RFID systems’

IEEE Transactions on Information Forensics and Security

Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed?
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A.

International Journal of Neural Systems

Discriminative Sparse Features for Alzheimer’s Disease Diagnosis Using Multimodal Image Data
AUTHORS: Ortiz, Andres; Lozano, F.; Gorriz, Juan M.; Ramirez, Javier; Martinez Murcia, Francisco J.; Alzheimers Dis Neuroimaging

Current Alzheimer Research

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

Journal of Neuroscience Methods

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

Expert Systems With Applications

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

Neurocomputing

An RFID-based smart structure for the supply chain: Resilient scanning proofs and ownership transfer with positive secrecy capacity channels

Sensors (Switzerland)

ASSESSMENT OF SECONDARY EDUCATION TEACHERS IN THE CITY OF TETUAN ABOUT ICT TRAINING DEVELOPED BY THE MINISTRY OF EDUCATION

Pixel-bit. Revista de Medios Y Educación

Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis

Knowledge-Based Systems

Automatic separation of parkinsonian patients and control subjects based on the striatal morphology

Natural and Artificial Computation for Biomedicine and Neuroscience, Pt I

Case-based statistical learning applied to SPECT image classification

SPIE Medical Imaging 2017

Case-based statistical learning: A non parametric implementation applied to SPECT images

Natural and Artificial Computation for Biomedicine and Neuroscience

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

Ieee Access

Construction and analysis of weighted brain networks from SICE for the study of Alzheimer’s disease
AUTHORS: Munilla, J.; Ortiz, A.; Górriz, J.M.; Ramírez, J.

Frontiers in Neuroinformatics

Evaluating Alzheimer’s disease diagnosis using texture analysis

Medical Image Understanding and Analysis

HISTORY AND POSTERS: DYNAMIZING ELEMENTS IN THE LEARNING PROCESS AT TELECOMMUNICATION ENGINEERING

Proceedings of the International Conference on Education and New Learning Technologies (EDULEARN)

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

Annals of Dyslexia

Tree-based ensemble learning techniques in the analysis of parkinsonian syndromes

Medical Image Understanding and Analysis

A Spherical Brain Mapping of MR Images for the Detection of Alzheimer’s Disease.
AUTHORS: Martinez-Murcia FJ; Górriz JM; Ramírez J; Ortiz A; For The Alzheimer's Disease Neuroimaging Initiative

Current Alzheimer research

A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer’s Disease
AUTHORS: Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A.

International Journal of Neural Systems

Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection

BioMedical Engineering Online

Ensemble tree learning techniques for magnetic resonance image analysis

Innovation in Medicine and Healthcare 2015

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease
AUTHORS: Ortiz, A.; Munilla, J.; Górriz, J.M.; Ramírez, J.

International Journal of Neural Systems

PETRA: A web-based system supporting computer aided diagnosis of Alzheimer’s disease

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/RTSD)

Short-term MCI-to-AD prediction using MRI, neuropsychological scores and ensemble tree learning techniques
AUTHORS: Rodriguez, J.; Ramirez, J.; Gorriz, J.M.; Padilla, P.; Ortiz, A.

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2015

A volumetric radial LBP projection of MRI brain images for the diagnosis of Alzheimer’s disease

Artificial Computation in Biology and Medicine, Pt I (Iwinac 2015)

Evolutionary Optimization of a Motorcycle Traction Control System Based on Fuzzy Logic

IEEE Transactions on Fuzzy Systems

Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s disease diagnosis
AUTHORS: Ortiz, A.; Munilla, J.; Álvarez-Illán, I.; Górriz, J.M.; Ramírez, J.

Frontiers in Computational Neuroscience

IDENTIFYING THE INTERESTS AND TRENDS OF TELECOMMUNICATION ENGINEERING STUDENTS IN COMPLEMENTARY ACTIVITIES

Proceedings of the International Conference of Education, Research and Innovation (ICERI)

Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data

Concurrency and Computation: Practice and Experience

Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection

Expert Systems with Applications

PCA filtering and probabilistic SOM for network intrusion detection

Neurocomputing

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

Applied Soft Computing Journal

Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging
AUTHORS: Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Ortiz, A.

Neurocomputing

Automatic ROI selection in structural brain MRI using SOM 3D projection

PloS one

Content-Based image authentication using sparse features and SOM trajectories

Logic Journal of the IGPL

Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps

Knowledge-Based Systems

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

2014 IEEE International Conference on Cluster Computing, CLUSTER 2014

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

Information Sciences

Multi-objective adaptive evolutionary strategy for tuning compilations

Neurocomputing

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

2nd KES International Conference on Innovation in Medicine and Healthcare, InMed 2014

Affinity-based network interfaces for efficient communication on multicore architectures

Journal of Computer Science and Technology

Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease
AUTHORS: Rojas, A.; Górriz, J.M.; Ramírez, J.; Illán, I.A.; Martínez-Murcia, F.J.; Ortiz, A.; Gómez Río, M.; Moreno-Caballero, M.

Expert Systems with Applications

Cryptanalysis of a key refreshment scheme for multicast protocols by means of genetic algorithm

Logic Journal of the IGPL

Dimensional synthesis of mechanisms using Differential Evolution with auto-adaptive control parameters

Mechanism and Machine Theory

Erratum to “Unsupervised Neural Techniques Applied to MR Brain Image Segmentation”
AUTHORS: A. Ortiz; J. M. Gorriz; J. Ramirez; D. Salas-Gonzalez

Advances in Artificial Neural Systems

Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization

Neurocomputing

Leveraging bandwidth improvements to web servers through enhanced network interfaces

Journal of Supercomputing

LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s disease
AUTHORS: Ortiz, A.; Górriz, J.M.; Ramírez, J.; Martínez-Murcia, F.J.

Pattern Recognition Letters

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

Computers in Biology and Medicine

Secure distributed system inspired by ant colonies for road traffic management in emergency situations

SECURWARE 2013 - 7th International Conference on Emerging Security Information, Systems and Technologies

Segmentation of brain MRI using SOM-FCM-based method and 3D statistical descriptors

Computational and Mathematical Methods in Medicine

Solfabot: Low-cost support tool for solfeo training

IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

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

Applied Soft Computing Journal

Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures

Journal of Supercomputing

Coverage and side effects of influenza A(H1N1) 2009 monovalent vaccine among primary health care workers

Vaccine

Improving dynamic web servers by affinity-based network interfaces

Proceedings - 19th International Euromicro Conference on Parallel, Distributed, and Network-Based Processing, PDP 2011

Improving network intrusion detection with growing hierarchical self-organizing maps

Proceedings of the 2011 International Conference on Artificial Intelligence, ICAI 2011

MR brain image segmentation by growing hierarchical SOM and probability clustering

Electronics Letters

Network interfaces for programmable NICs and multicore platforms

Computer Networks

Robotic vehicles to simulate RFID-based vehicular ad hoc networks

SIMUTools 2010 - 3rd International ICST Conference on Simulation Tools and Techniques

What can RFID do for VANETs? – A cryptographic point of view

SECRYPT 2010 - Proceedings of the International Conference on Security and Cryptography

A new Offloaded/Onloaded network interface for high performance communication

Proceedings of the 17th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2009

A new Offloaded/Onloaded network interface for high performance communication

Proceedings of the Parallel, Distributed and Network-based Processing

Protocol offload analysis by simulation

Journal of Systems Architecture

Association of the 3050G>C polymorphism in the cyclooxygenase 2 gene with systemic sarcoidosis

Archives of Medical Research

Comparison of onloading and offloading strategies to improve network interfaces

Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing, PDP 2008

Comparison of techniques for outsourcing protocols,Comparación de tćcnicas para la externalización de protocolos

CISCI 2008 - Septima Conferencia Iberoamericana en Sistema, Cibernetica e Informatica 5to SIECI 2008, 3er Simposium Internacional en Comunicacion del Conocimiento y Conferencias, CCC 2008 - Memorias

The evolution of logical-ordinal relationships in 3 to 6 year old school children

Infancia Y Aprendizaje

Analyzing the benefits of protocol offload by full-system simulation

Proceedings - 15th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing, PDP 2007

Modeling network behaviour by full-system simulation

Journal of Software

Protocol offload evaluation using simics

Proceedings - IEEE International Conference on Cluster Computing, ICCC

Secure wireless data link for low-cost Telemetry and Telecommand Applications

CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING, INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS

Secure wireless data link for low-cost telemetry and telecommand applications

Proceedings of the Mediterranean Electrotechnical Conference - MELECON