Andrés Ortiz
Orcid: 0000-0003-2690-1926Affiliations:
- University of Málaga, Department of Communications Engineering, Spain
According to our database1,
Andrés Ortiz
authored at least 144 papers
between 2004 and 2024.
Collaborative distances:
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Bibliography
2024
CoRR, 2024
2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters.
Computing, November, 2023
Probabilistic Combination of Non-Linear Eigenprojections For Ensemble Classification.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia.
Int. J. Neural Syst., April, 2023
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern.
Int. J. Neural Syst., April, 2023
Int. J. Neural Syst., April, 2023
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Int. J. Neural Syst., April, 2023
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression.
Appl. Soft Comput., February, 2023
Uncertainty-driven ensembles of multi-scale deep architectures for image classification.
Inf. Fusion, 2023
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
CoRR, 2023
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality.
CoRR, 2023
Proceedings of the Advances in Computational Intelligence, 2023
2022
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis.
Knowl. Based Syst., 2022
Neurocomputing, 2022
Int. J. Neural Syst., 2022
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Proceedings of the 12th International Congress on Advanced Applied Informatics, 2022
Ant colony optimization for feature selection via a filter-randomized search heuristic.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2021
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis.
Sensors, 2021
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms.
Sensors, 2021
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities.
Inf. Fusion, 2021
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy.
Neurocomputing, 2021
CoRR, 2021
CoRR, 2021
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images.
CoRR, 2021
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Proceedings of the Advances in Computational Intelligence, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
Proceedings of the Bioengineering and Biomedical Signal and Image Processing, 2021
2020
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders.
IEEE J. Biomed. Health Informatics, 2020
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data.
IEEE J. Biomed. Health Informatics, 2020
Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers.
Sensors, 2020
Granger causality-based information fusion applied to electrical measurements from power transformers.
Inf. Fusion, 2020
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning.
Inf. Fusion, 2020
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications.
Neurocomputing, 2020
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
Int. J. Neural Syst., 2020
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia.
Int. J. Neural Syst., 2020
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease.
Int. J. Neural Syst., 2020
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images.
CoRR, 2020
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia.
CoRR, 2020
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study.
Sensors, 2019
Assessing physical activity and functional fitness level using convolutional neural networks.
Knowl. Based Syst., 2019
Neurocomputing, 2019
Int. J. Neural Syst., 2019
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks.
Frontiers Neuroinformatics, 2019
An extensive validation of a SIR epidemic model to study the propagation of jamming attacks against IoT wireless networks.
Comput. Networks, 2019
Proceedings of the Machine Learning for Networking, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Proceedings of the Understanding the Brain Function and Emotions, 2019
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis.
Proceedings of the Advances in Computational Intelligence, 2019
2018
Comments on "Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems".
IEEE Trans. Inf. Forensics Secur., 2018
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?
Int. J. Neural Syst., 2018
Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2018
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study.
Proceedings of the International Joint Conference SOCO'18-CISIS'18-ICEUTE'18, 2018
2017
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels.
Sensors, 2017
Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis.
Knowl. Based Syst., 2017
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI.
Neurocomputing, 2017
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.
Frontiers Neuroinformatics, 2017
A semi-supervised learning approach for model selection based on class-hypothesis testing.
Expert Syst. Appl., 2017
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM.
IEEE Access, 2017
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis.
Proceedings of the Advances in Computational Intelligence, 2017
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces.
Proceedings of the Advances in Computational Intelligence, 2017
2016
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.
Int. J. Neural Syst., 2016
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease.
Int. J. Neural Syst., 2016
Log. J. IGPL, 2016
Proceedings of the International Joint Conference SOCO'16-CISIS'16-ICEUTE'16, 2016
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2015
Neurocomputing, 2015
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis.
Frontiers Comput. Neurosci., 2015
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection.
Expert Syst. Appl., 2015
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data.
Concurr. Comput. Pract. Exp., 2015
Tuning compilations by multi-objective optimization: Application to Apache web server.
Appl. Soft Comput., 2015
Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information.
Proceedings of the Artificial Computation in Biology and Medicine, 2015
A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease.
Proceedings of the Artificial Computation in Biology and Medicine, 2015
Proceedings of the Bioinformatics and Biomedical Engineering, 2015
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI.
Proceedings of the Advances in Computational Intelligence, 2015
Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015
Reducing the Key Space of an Image Encryption Scheme Based on Two-Round Diffusion Process.
Proceedings of the International Joint Conference, 2015
2014
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps.
Knowl. Based Syst., 2014
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering.
Inf. Sci., 2014
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging.
Neurocomputing, 2014
Neurocomputing, 2014
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014
Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014
Feature selection in high-dimensional EEG data by parallel multi-objective optimization.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014
2013
Leveraging bandwidth improvements to web servers through enhanced network interfaces.
J. Supercomput., 2013
LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease.
Pattern Recognit. Lett., 2013
Affinity-Based Network Interfaces for Efficient Communication on Multicore Architectures.
J. Comput. Sci. Technol., 2013
Neurocomputing, 2013
Cryptanalysis of a key refreshment scheme for multicast protocols by means of genetic algorithm.
Log. J. IGPL, 2013
Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease.
Expert Syst. Appl., 2013
Comput. Math. Methods Medicine, 2013
Parameterization of the distribution of white and grey matter in MRI using the <i>α</i>α-stable distribution.
Comput. Biol. Medicine, 2013
Two fully-unsupervised methods for MR brain image segmentation using SOM-based strategies.
Appl. Soft Comput., 2013
Adv. Artif. Neural Syst., 2013
Cryptanalysis of the Improvement of an Authentication Scheme Based on the Chinese Remainder Theorem for Multicast Communications.
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013
Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-linear Projection Techniques.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013
2012
Adv. Artif. Neural Syst., 2012
Proceedings of the Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012
Unsupervised Classification of Audio Signals by Self-Organizing Maps and Bayesian Labeling.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Accelerating network applications by distributed interfaces on heterogeneous multiprocessor architectures.
J. Supercomput., 2011
Proceedings of the 19th International Euromicro Conference on Parallel, 2011
MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method.
Proceedings of the New Challenges on Bioinspired Applications, 2011
Network Intrusion Prevention by Using Hierarchical Self-Organizing Maps and Probability-Based Labeling.
Proceedings of the Advances in Computational Intelligence, 2011
Cryptanalysis of Multicast Protocols with Key Refreshment Based on the Extended Euclidean Algorithm.
Proceedings of the Computational Intelligence in Security for Information Systems, 2011
2010
Comput. Networks, 2010
Proceedings of the 3rd International Conference on Simulation Tools and Techniques, 2010
What can RFID do for Vanets? - A Cryptographic Point of View.
Proceedings of the SECRYPT 2010, 2010
Proceedings of the Exploring Music Contents - 7th International Symposium, 2010
2009
Proceedings of the 17th Euromicro International Conference on Parallel, 2009
Improving the Performance of Bandwidth-Demanding Applications by a Distributed Network Interface.
Proceedings of the Distributed Computing, 2009
Proceedings of the Computational Intelligence in Security for Information Systems, 2009
2008
Proceedings of the 16th Euromicro International Conference on Parallel, 2008
2007
Proceedings of the 15th Euromicro International Conference on Parallel, 2007
2006
Proceedings of the 2006 IEEE International Conference on Cluster Computing, 2006
2004
SMS transmission using PDU mode and 7-bit coding scheme.
Proceedings of the IADIS International Conference WWW/Internet 2004, 2004