Andrés Ortiz García
Full Professor
(Catedrático de Universidad)
Department of Communications Engineering. University of Málaga
Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI)
Head of the BioSiP Research Group TIC-251
Andrés Ortiz received the B.Sc. degree in Physics (1998), the M.Sc. degree in electronics (2000) and the Ph.D. degree (Smart and High performance Network Interfaces) in 2008, all from the University of Granada. He then earned the Ph.D. degree from the University of Cádiz, Spain (2012). From 2000 to 2005 he was working as Networks and Systems Engineer with Telefonica, Madrid, Spain, where his work areas were high performance computing and network performance analysis and optimization. Currently, he is Full Professor at the Department of Communications Engineering of the University of Malaga and head of the research group on biomedical signal processing, computational intelligence and communications security (BioSiP, TIC-251). His research interests include statistical signal processing with biomedical applications, intelligence systems, computational neuroscience, and high performance computing. He has coauthored more than 170 technical journal and conference papers in these research areas, that have been cited more than 4400 times (h=34). He has also been principal investigator in different funded research projects related to biomedical signal processing and intelligent diagnostic systems, and has supervised 7 doctoral theses. He has served as editor and reviewer for several international journals and conferences.
Funding – Research projects as lead researcher
- Functional Connectivity, Information Fusion and Explainable AI for Modelling Neural Synchronization in Dyslexia Using High-Performance and Energy-Efficient Computing Algorithms (DYSCONECT). Ref.PID2022-137461NB-C32. Plan Nacional de I+D+i. Proyectos de I+D de Generación de Conocimiento. Ministerio de Ciencia, Innovación y Universidades. 1/9/2023 a 1/9/2027
- A Reading Learning Platform powered by Data Science and Computational Intelligence (READSIN). Ref. TED2021-132261B-I00. Proyectos Estratégicos Orientados a la Transición Ecológica y a la Transición Digital. 2021. 1/12/2022 a 1/12/2024
- High-performance computing in functional biomarker analysis applied to developmental dyslexia diagnosis and prediction (HPC-BODDY). Ref. PGC2018-098813-B-C32. Plan Nacional de I+D+i. Proyectos de I+D de Generación de Conocimiento. Ministerio de Ciencia, Innovación y Universidades. 1/1/2019 a 31/12/2022.
- Detección Precoz de la Dislexia Evolutiva: Un Estudio de la Conectividad Espectral con Señales EEG Guiado Por la Teoría Alofónica. Ref. UMA20-FEDERJA-086. Proyectos de I+D+i en el marco del Programa Operativo FEDER. Junta de Andalucía. 1/1/2021 a 31/12/2024.
- Identificación temprana de la dislexia evolutiva, percepción alofónica y/o déficit de muestreo temporal auditivo. Un estdio longitudinal (ITEMDIS). Ref. PSI2015-65848-R. Plan nacional de I+D+i. Proyectos de I+D – Retos. Ministerio de Economía y Competitividad. 1/1/2015 a 31/12/2018
- Fusión de biomarcadores para diagnóstico y pronóstico individualizado mediante sistemas inteligentes híbridos (bioFuSIS). Programa de fortalecimiento de I+D en las Universidades. Junta de Andalucía. 2015
Current Ph.D. Students
- Marco A. Formoso. Machine learning approaches for dyslexia diagnosis using EEG signals
- Nicolás J. Gallego. Signal processing to unravel functional connectivity patterns in dyslexia . Analysis by complex networks
- Francisco Lozano. Multivariate and Sparse Signal Processing Techniques in Multimodal Neuroimage Analysis for the Identification of Neurological Alterations
- Roberto Morales. Anomaly detection in biomedical time series data using unsupervised and deep learning approaches
- Sergio Aquino. Optimizing the grid: Energy-Aware Strategies for Artificial Intelligence Model Development
Previous Ph.D. Students
- Eduardo M. De la Hoz. Thesis: «Sistemas de detección de intrusos con mapas autoorganizativos temporales y probabilísticos». Ph.D. 2016
- Emiro De la Hoz. Thesis: «Detección de intrusos en servidores basados en mapas autoorganizativos y optimización multiobjetivo». Ph.D. 2016
- Guillermo Cotrina. Thesis: «Generación de secuencias pseudoaleatorias Gaussianas mediante registros de desplazamiento con realimentación lineal en cuerpos extendidos».Ph.D. 2021
- Diego A. Aquino. Thesis: Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms». Ph.D. 2022
- Miguel López. SIR Epidemic Models to Study the Propagation of Jamming in Wireless Sensor Networks. Ph.D. 2022
- Francisco Lozano Gómez. Multivariate and Sparse Signal Processing Techniques in Multimodal Neuroimage Analysis for the Identification of Neurological Alterations. Ph.D. 2024
Postdoctoral Fellow / Research Associates
- Juan Eloy Arco (Margarita Salas PostDoc fellowship)
- Ignacio Rodríguez Rodríguez (PostDoc Junta de Andalucía)
- Diego Castillo Barnés (Juan de la Cierva PosDoc fellowship)
Indexed Journals (JCR)
84 | Probabilistic and explainable modeling of Phase–Phase Cross-Frequency Coupling patterns in EEG. Application to dyslexia diagnosis | |
Diego Castillo-Barnes, Nicol´as J. Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Patricia Figueiredo, Juan L. Luque | 2024 | |
Biocybernetics and Biomedical Engineering. | ||
83 | Unraveling brain synchronisation dynamics by explainable neural networks using EEG signals. Application to dyslexia diagnosis | |
Gallego-Molina, N.J., Ortiz, A., Arco, J.E., Martínez-Murcia, F.J., Lok, W.W. | 2024 | |
Interdisciplinary Sciences: Computational Life Sciences. | ||
82 | Identifying HRV patterns in ECG signals as early markers of dementia | |
Arco, J.E., Gallego-Molina, N.J., Ortiz, A., Arroyo-Alvis, K., López-Pérez, P.J. | 2024 | |
Expert Systems with Applications. 240(1), pp. 1-14. | ||
81 | An exploratory analysis of lung cancer survival using NGS genetic predictors and partial least squares | |
Sequero-Lopez, S., Martinez-Murcia, F.J., Castillo-Barnes, D., Moreno-Garcia, J., Segura-Perez, A., Gallego-Molina, N.J., Ortiz, A., Ramirez, J. | 2023 | |
Journal of Clinical Oncology, Vol. 41 (16), suppl., pp. | ||
80 | Use of Artificial Intelligence in identification and diagnosis of frailty syndrome in older adults. A scoping review | |
Pérez-Cabezas, V., Velánquez-Díaz, D., Arco, J.E., Ortiz, A., Lucena-Antón D., Moral-Muñoz, J.A., Galán-Mercant, A. | 2023 | |
Journal of Medical Internet Research, 2023. Oct 20:25:e47346 | ||
79 | Computational Approaches to Explainable Artificial Intelligence: Advances in Theory, Applications and Trends | |
Górriz, J.M., Álvarez-Illán, I., Álvarez-Marquina, A., Arco, J.E., Ortiz, A., et. al | 2023 | |
Information Fusion, Vol. 100, December 2023, 101945 | ||
78 | EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia | |
Rodríguez-Rodríguez, I., Ortiz, A., Gallego-Molina, N.J., Formoso, M.A., Woo, L.W. | 2023 | |
International Journal of Neural Systems, 2023. pp.1-18. Vol. 33(4) | ||
77 | Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data | |
Gallego-Molina, N.J., Ortiz, A., Martínez-Murcia, F.J., Rodríguez-Rodríguez, I., Luque, J.L. | 2023 | |
International Journal of Neural Systems, 2023. pp.1-19. Vol. 33(4) | ||
76 | A distributed and energy-efficient KNN for EEG classification with dynamic money-saving policy in heterogeneous clusters | |
Escobar, J.J., Rodríguez, F., Prieto, B., Kimovski, D., Ortiz, A., Damas, M. | 2023 | |
Computing 2023. pp.1-24. doi.org/10.1007/s00607-023-01193-7 | ||
75 | Hybrid Genetic Algorithm for Clustering IC Topographies of EEGs | |
Munilla, J., Al-Safi, H., Ortiz, A., Luque, J.L. | 2023 | |
Brain Topography 2023. pp.1-18. Vol. 36, pp. 338–349 | ||
74 | Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism | |
Arco, J.E., Ortiz, A., Górriz, J.M., Ramírez, J., Castillo-Barnés, D. | 2023 | |
International Journal of Neural Systems, 2023. pp.1-18. Vol. 33(4) | ||
73 | Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression | |
Arco, J.E., Ortiz, A., Górriz, J.M., Ramírez, J., Castillo-Barnés, D. | 2023 | |
Applied Soft Computing, 2023, Vol. 1334, pp.1-11 | ||
72 | Using Explainable Artificial Intelligence in the Clock Drawing Test to reveal the cognitive impairment pattern | |
C. Jiménez-Mesa, Juan E. Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, A. Ortiz, M. Ávila-Villanueva, D. Castillo-Barnes, J. Ramírez, T. del Ser-Quijano, C. Carnero-Pardo, and J. M. Górriz | 2023 | |
International Journal of Neural Systems, 2023, Vol. 33(4) | ||
71 | A hypothesis-driven method based on machine learning for neuroimaging data analysis | |
Górriz, J.M., Martín-Clemente, R.,Puntonet, C.G., Ortiz, A., Ramírez, J., SiPBA group, Suckling, J. | 2022 | |
Neurocomputing, 2022, 510(1), pp. 159-171. | ||
70 | Probabilistic combination of non-linear eigenprojections for ensemble classification | |
Arco, J.E., Ortiz, A., Zhang, Y., Górriz, J.M., Ramírez, J. | 2022 | |
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, Vol. (1), pp. 1-15. | ||
69 | Uncertainty-driven ensembles of multi-scale deep architectures for image classification | |
Arco, J.E., Ortiz, A., Zhang, Y., Górriz, J.M., Ramírez, J. | 2022 | |
Information Fusion, 2022, Vol. (1), pp. 1-13. | ||
68 | Security and efficiency of linear feedback shift registers in GF(2n) | |
Espinosa, J., Cotrina, G., Peinado, A., Ortiz, A. | 2022 | |
Mathematics, 2022, Vol.10 (996), pp. 1-11. | ||
67 | Complex network modelling of EEG band coupling in dyslexia: an exploratory analysis of auditory processing and diagnosis | |
Gallego-Molina, N.J., Ortiz, A., Martinez Murcia, F.J., Formoso, A., Giménez, A. | 2022 | |
Knowledge-Based Systems. 2022, 108098. pp.1-26. | ||
66 | Tiled Sparse Coding in Eigenspaces for Image Classification | |
Arco, J.E., Ortiz, A., Ramírez, J., Zhang, Y., Górriz, J.M. | 2021 | |
International Journal of Neural Systems, 2021(2250007). pp.1-22 | ||
65 | Detecting Phase-synchrony Connectivity Anomalies in EEG signals. Application to Dyslexia Diagnosis | |
Formoso, M.A., Ortiz, A., Martinez-Murcia, F.J., Gallego, N., Luque, J.L. | 2021 | |
Sensors, 21(7061), pp.1-20 | ||
64 | Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining | |
Rodríguez-Rodríguez, I., Rodríguez, J.V., Shirvanizadeh, N. Ortiz, A., Pardo-Quiles, D.J. | 2021 | |
International Journal of Environmental Research and Public Health, 2021 | ||
63 | Characterizing Two Outbreak Waves of COVID-19 in Spain Using Phenomenological Epidemic Modelling | |
Miguel López, Alberto Peinado, Andrés Ortiz | 2021 | |
PLOS ONE, 2021 | ||
62 | Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms | |
Diego Aquino-Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco Formoso, John Q. Gan, Juan J. Escobar | 2021 | |
Sensors, 21(6), pp. 1-21, 2021 | ||
61 | Gaussian Pseudorandom Number Generator For Quantum Cryptography Using Linear Feedback Shift Registers in Extended Fields | |
Cotrina, G., Peinado, A., Ortiz, A. | 2021 | |
Mathematics, 9(5), pp. 1-16, 2021 | ||
60 | Deep Residual Transfer learning for Automatic Diagnosis and Grading of Diabetic Retinopathy | |
Martínez-Murcia, F.J., Ortiz, A., Górriz, J.M., Ramírez, J., Cruz-Arándiga, R. | 2021 | |
Neurocomputing 2021, Vol. 45, pp.424-434. | ||
59 | Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities | |
Górriz, J.M., Jiménez, C., Ramírez, J., Illán, I., Segovia, F., Castillo, D., Salas, D., Martínez-Murcia, F.J., Ortiz, A., López, D., Puntonet, C.G. | 2020 | |
Information Fusion, Vol.66, 2021, pp. 198-212. | ||
58 | Editorial: Deep Learning in Aging Neuroscience | |
Javier Ramírez, Juan Manuel Gorriz, Andres Ortiz, James H Cole, Martin Dyrba | 2020 | |
Frontiers in Neuroinformatics, vol. 14, pp.1-3. 2020 | ||
57 | Deep learning for EEG-based Motor Imagery classification: accuracy-cost trade-off | |
León, J., Escobar, J.J., Ortiz, A., Ortega, J., Martín-Smith, P., Q. Gan, J., Damas, M., González, J. | 2020 | |
PLOS ONE 15(6), pp.1-30. DOI: 10.1371/journal.pone.0234178 | ||
56 | Artificial intelligence within the interplay between natural and artificial Computation: advances in data science, trends and applications | |
Górriz, J.M., Ramírez, Ortiz, A., Martínez-Murcia, F.J., Segovia, F. et al. | 2020 | |
Neurocomputing 2020, vol. 410, pp. 237-270 | ||
55 | Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson’s Disease | |
Castillo-Barnés, D., Martínez-Murcia, F.J., Ortiz, A., Salas-Gonzalez, D., Górriz, J.M., Ramírez, J. | 2020 | |
International Journal of Neural Systems. 30(9):2050044, pp.1-16. DOI: 10.1142/S0129065720500446 | ||
54 | Gaussian pseudorandom number generator for Quantum key distribution based on LFSR cyclic rotations |
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Cotrina, G., Peinado, A., Ortiz, A. | 2020 | |
Sensors. 2020, 20(7), pp. 1-18. doi:10.3390/s20072103 | ||
53 | EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia | |
Martínez-Murcia, F.J., Ortiz, A., Górriz, J.M., Ramírez, López-Pérez, Pedro J. and Luque, J. | 2020 | |
International Journal of Neural Systems. 2020, 30(7), pp. 1-18 | ||
52 | Dyslexia diagnosis by EEG temporal and spectral descriptors: an anomaly detection approach | |
Ortiz, A., Martínez-Murcia, F.J., Luque, J., Giménez, A., Morales-Ortega, R., Ortega, J. | 2020 | |
International Journal of Neural Systems. 2020, 30(7), pp.1-19 | ||
51 | Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning | |
Castillo-Barnes, D., Ramirez, J., Alvarez-Illán, I., Su, L., Martinez-Murcia, F., Salas-Gonzalez, D. Ortiz, A., Segovia, F., Cruchaga, C., Farlow, M., Xiong, C., Graff-Radford, N., Schofield, P., Masters, C., Mathias, J., Hiroshi-Mori, H., Salloway, S., Levin, J. | 2020 | |
Information Fusion Vol. 58, pp. 153-167 | ||
50 | Granger Causality-based Information Fusion Applied to Electrical Measurements from Power Transformers | |
J. Rodrı́guez-Rivero , J. Ramirez, F.J. Martinez-Murcia, F. Segovia, A. Ortiz, D. Salas, D. Castillo, I.A. Illan, C.G. Puntonet, C. Jimenez-Mesa, F.J. Leiva, S. Carillo, J. Suckling, J.M. Gorriz | 2020 | |
Information Fusion Vol 57. pp. 59-70 | ||
49 | Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data | |
Domingues, I., Müller, H., Ortiz, A., Dasarathy, B.V., Abreu, P.H., Calhoun, V.D. | 2020 | |
IEEE Journal of Biomedical and Health Informatics (J-BHI), 24(1), pp. 14-16 | ||
48 | Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders | |
Martínez-Murcia, F.J., Ortiz, A., Górriz J.M., Ramírez, J., Castillo-Barnés, D. | 2020 | |
IEEE Journal of Biomedical and Health Informatics (J-BHI), Vol. 24(1), pp. 17-26 | ||
47 | An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks | |
López, M.; Peinado, A.; Ortiz, A. | 2019 | |
Computer Networks, 2019 165(1), pp. 1-15. | ||
46 | Fatigue detection during Sit-To-Stand Test based on surface electromyography and acceleration: a case study |
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Roldán Jiménez, C., Bennet, P., Ortiz, A., Cuesta-Vargas, A. | 2019 | |
Sensors 2019, 19(19), 4202 | ||
45 | Assessing physical activity and functional fitness level using convolutional neural networks | |
Galán-Mercant, A., Ortiz, A., Herrera-Viedma, E. Tomás, M.T., Fernandes, B., Moral-Muñoz, J.A. | 2019 | |
Knwoledge-Based systems, 2019, 185(1), pp.1-12 | ||
44 | Parkinson’s Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Network< | |
Ortiz, A., Munilla, J., Martínez-Ibáñez, M., Goórriz, J.M., Ramírez, J., Salas-González, D. | 2019 | |
Frontiers in Neuroinformatics, 10.3389/fninf.2019.00048 | ||
43 | Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes | |
Ortiz, A, Martínez-Murcia, F.J., Munilla, J., Górriz J.M., Ramírez, J. | 2019 | |
Neurocomputing 330, 162-171 | ||
42 | Convolutional Neural Networks for Neuroimaging in Parkinson’s Disease: Is Preprocessing Needed? | |
Martinez-Murcia F.J, Górriz J.M., Ramírez J., Ortiz, A. | 2019 | |
International Journal of Neural Systems 330, 162-171 | ||
41 | Empirical Functional PCA for 3D image feature extraction through fractal sampling | |
Ortiz, A,; Munilla, J.; Martínez-Murcia; F.; Górriz, J.M.; J. Ramírez | 2019 | |
International Journal of Neural Systems 330, 162-171 | ||
40 | Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems | |
Munilla, J.; Burmester, M.; Ortiz, A. | 2018 | |
IEEE Transactioons on Information Forensics and Security, 13(11), 2929-2931, 2018 | ||
39 | Assessing Mild Cognitive Impairment Progression using a Spherical Brain Mapping of Magnetic Resonance Imaging | |
Martinez-Murcia F.J, Górriz J.M., Ramírez J., Segovia F., Salas-Gonzalez D., Castillo-Barnes D., Ortiz A. | 2018 | |
Journal of Alzheimer’s Disease, 2018;65(3):713-729 | ||
38 | Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares | |
J. Ramírez; J.M; Górriz; A. Ortiz; F.J. Martínez-Murcia; F. Segovia; D. Salas-Gonzalez; D. Castillo-Barnes; I.A. Illán; C.G. Puntonet, for the Alzheimer’s Disease Neuroimaging Initiative. | 2018 | |
Journal of Neuroscience Methods. 2018 May 15;302:47-57 | ||
37 | Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data | |
Ortiz, A; Lozano, F.; Górriz, J.M. Ramírez, J; Martínez-Murcia, F.J. | 2018 | |
Current Alzheimer Research. 2018;15(1):67-79 | ||
36 | A Semi-Supervised Learning Approach for Model Selection Based on Class-Hypothesis Testing | |
J.M. Górriz; J. Ramírez; J. Suckling; I.A. Illán; A. Ortiz; F.J. Martinez-Murcia; F. Segovia; D. Salas-González | 2017 | |
Expert Systems with Applications. 2017, 1(90):40-49 | ||
35 | Case-based statistical learning: a non parametric implementation with a conditional-error rate SVM | |
J.M. Górriz; J. Ramírez; J. Suckling; I.A. Illán; A. Ortiz; F.J. Martinez-Murcia; F. Segovia; D. Salas-González and S. Wang | 2017 | |
IEEE Access 2018 99, pp.1-10. | ||
34 | Parents’ reading history as an indicator of risk for reading difficulties | |
Giménez, A.; Luque, J.L.; Ortiz, A.; López-Zamora, M.; Sánchez, A. | 2017 | |
Annals of Dyslexia,67(3):259-280 | ||
33 | An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels | |
Munilla, J.; Burmester, M.; Ortiz, A.; Caballero-Gil, P. | 2017 | |
Sensors 17(7):1-20. 2017 | ||
32 | Construction and analysis of weighted brain networks from SICE for the study of Alzheimer’s Disease | |
Munilla, J.; Ortiz, A.; Górriz, J.M.; Ramírez, J. | 2017 | |
Frontiers in Neuroinformatics, 2017 Mar 10;11:19. | ||
31 | Automatic computation of regions of interest by Robust Principal Component Analysis. Application to automatic dementia diagnosis | |
Lozano, F.; Ortiz, A.; Munilla, J.; Peinado, A. | 2017 | |
Knowledge-Based Systems, 123(1):229-237 | ||
30 | A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI | |
Martín-Smith, P.; Ortega, J.; Asensio-Cubero, J.; Q. Gan, J.; Ortiz, A. | 2017 | |
Neurocomputing, 2017, 250(9):45-56 | ||
29 | A Structural Parametrization of the Brain using Hidden Markov Models-based Paths in Alzheimer’s Disease | |
Martínez Murcia, F.J.; Górriz, J.M.; Ramírez, J.; Ortiz, A. | 2016 | |
International Journal of Neural Systems, 2016. 26(7):1-15 | ||
28 | Ensembles of Deep Learning Architectures for the early diagnosis of Alzheimer’s Disease | |
Ortiz, A.; Munilla, J.; Górriz, J.M.; Ramírez, J. | 2016 | |
International Journal of Neural Systems, 2016, 26(7):1-23 | ||
27 | Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection | |
Ortega, J.; Asensio-Cubero, J.; Q. Gan, J.; Ortiz, A. | 2015 | |
Biomedical Engineering Online. 2015. 15(1):150-164. | ||
26 | A Spherical Brain Mapping of MR Images for the Detection of Alzheimer’s Disease | |
Martínez-Murcia, F.J.; Górriz, J.M.; Ramírez, J. Ortiz, A. | 2015 | |
Current Alzheimer Research. 2015. 13(5):575-588 | ||
25 | Exploratory graphical models of functional and structural connectivity patterns for Alzheimer’s Disease diagnosis | |
Ortiz, A.; Munilla, J.;Illán, I.; Górriz, J.M. Ramírez, J. | 2015 | |
Frontiers in Computational Neuroscience, 9:132. doi: 10.3389/fncom.2015.00132 | ||
24 | Leveraging cooperation for parallel multiobjective feature selection in high-dimensional EEG data | |
Kimovski, D.; Ortega J.; Ortiz, A; Baños, R. | 2015 | |
Concurrency and Computation: Practice and Experience. 2015. 27(18), pp. 5476–5499 | ||
23 | Content-based image authentication using sparse features and SOM trajectories | |
Peinado, A.; Ortiz, A.; Cotrina, C. | 2016 | |
Logic Journal of the IGPL, 2016, 24(1):4-15 | ||
22 | Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection | |
Kimovski, D.; Ortega J.; Ortiz, A; Baños, R. | 2015 | |
Expert Systems With Applications 42 (2015), pp. 4239-4252. | ||
21 | Tuning compilations by multi-objective optimization: application to Apache web server | |
Martínez-Alvarez, A.; Cuenca-Asensi, S.; Ortiz, A.; Calvo-Zaragoza, J.; Vivas, L.A. | 2015 | |
Applied Soft Computing. 42 (2015), pp. 4239-4252 | ||
20 | PCA filtering and Probabilistic SOM for Network Intrusion Detection | |
De la Hoz, E.M., De la Hoz, E., Ortiz, A., Ortega, J. | 2015 | |
Neurocomputing. 2015(164):71-81 | ||
19 | Feature selection by multi-objective optimization:application to network anomaly detection by hierarchical self-organizing map | |
De la Hoz, E., De la Hoz, E.M., Ortiz, A., Ortega, J., Martínez-Álvarez | 2014 | |
Knowledge-Based Systems. 2014(71):322-338 | ||
18 | Automatic ROI selection in structural brain MRI using SOM 3D projection | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Martínez Murcia, F.J. | 2015 | |
PLoS ONE. 2014, 9(4):1-12. | ||
17 | Multi-Objective Adaptive Evolutionary Strategy for Tuning Compilations | |
Martínez-Alvarez, A. Calvo-Zaragoza, J.; Cuenca-Asensi, S.; Ortiz, A.; Jimeno-Morenilla, A. | 2014 | |
Neurocomputing 123(2014):381-389 | ||
16 | Improving MR Brain Image Segmentation using Self-Organizing Maps and Entropy-Gradient Clustering | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D. | 2014 | |
Information Sciences 262 (2014):117-136 | ||
15 | Automatic Detection of Parkinsonism Using Significance Measures and Component Analysis in DatSCAN imaging | |
Martinez-Murcia, F.J.; Górriz, J.M.; Ramírez, J. Illán, I.A.; Ortiz, A. | 2014 | |
Neurocomputing, 2014. 126(27):58-70 | ||
14 | LVQ-SVM Based CAD tool applied to structural MRI for the diagnosis of the Alzheimer’s Disease | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Martinez-Murcia, F.J. | 2013 | |
Pattern Recognition Letters. 2013 34(14):1725-1733. | ||
13 | Segmentation of Brain MRI using SOM-FCM based method and 3D statistical descriptors | |
Ortiz, A.; Palacio, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D. | 2013 | |
Computational and Mathematical Methods in Medicine. vol. 2013, Article ID 638563, 12 pages | ||
12 | Parameterization of the distribution of white and grey matter in MRI using the -stable distribution | |
Salas-Gonzalez, D.; Górriz, J.M.;Ramírez, J.; Schloegl, M.; Lang, E.;Ortiz, A. | 2013 | |
Computers in Biology and Medicine. 2013 43(5):559-567 | ||
11 | Application of Empirical Mode Decomposition (EMD) on DaTSCAN SPECT images to explore Parkinson Disease | |
Rojas, A.; Górriz, J.M.; Ramírez, J.;Illán, A.; Martínez-Murcia, F.J.; Ortiz, A.;Gomez-Rio, M. | 2013 | |
Expert Systems with Applications. 2013 40(7):2756–2766. | ||
10 | Two Fully-Unsupervised methods for MR Brain Image Segmentation using SOM-based strategies | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D. | 2013 | |
Applied Soft Computing. 2013 13(5):2668-2682 | ||
9 | Leveraging Bandwidth Improvements to Web Servers through enhanced Network Interfaces | |
Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A. | 2013 | |
Journal of Supercomputing. 2013(65):1020-1036 | ||
8 | Affinity-based Network Interfaces for efficient communication on multicore architectures | |
Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A. | 2013 | |
Journal of Computer Science and Technology. 2013, 28(3):508-524 | ||
7 | Improving MRI segmentation with probabilistic GHSOM and multiobjective optimization | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D. | 2013 | |
Neurocomputing. 2013 114(19):118–131. | ||
6 | Unsupervised Neural Techniques Applied to MR Brain Image Segmentation | |
Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D. | 2012 | |
Advances in Artificial Neural Systems, vol.5, 2012. | ||
5 | Cryptanalysis of a Key Refreshment Scheme for Multicast protocols by means of Genetic Algorithm | |
Peinado, A.; Ortiz, A. | 2012 | |
Logic Journal of the IGPL. 2012 | ||
4 | MR Brain Image Segmentation by Hierarchical Growing SOM and Probability Clustering | |
Ortiz, A.; Górriz, J.M.; Ramirez, J.; Salas-Gonzalez, D. | 2011 | |
Electronics Letters, 2011 47(10): 585-586 | ||
3 | Accelerating network applications on heterogeneous processors | |
Cascón, P.; Ortiz, A.; Ortega, J.; Díaz, F.; Rojas, I. | 2011 | |
Journal of Supercomputing. 2011 58(3):302-313. | ||
2 | Network Interfaces for Programmable NICs and Multicore Platforms | |
Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A. | 2010 | |
Computer Networks. 2010 54(3):357-376 | ||
1 | Protocol Offload Analysis by Simulation | |
Ortiz, A.; Ortega, J.; Díaz, A.F.; Cascón, P.; Prieto, A. | 2008 | |
Journal of Systems Architecture. 2009 55(1):25-42 |
International Conferences
- Rodríguez-Rodríguez, I., Mateo-Trujillo, J.I., Formoso, M.A., Gallego-Molina, N.J., Ortiz, A., Luque, J.L.:»Nonlinear Neural Dynamics of Language Processing: A Recurrence Quantification Analysis of EEG in Dyslexia». International Conference on Mathematical Analysis and Applications in Science and Engineering ICMASC 2024
- Mateo Trujillo, J.I, Rodríguez Rodríguez, I., Castillo Barnes, D., Ortiz, A., Luque, J.L.: «Generation of Virtual Children for testing a Recommendation System for Interventions with Children with Dyslexia». International Conference on Mathematical Analysis and Applications in Science and Engineering ICMASC 2024
- Aquino-Brítez, S., García-Sánchez, P., Ortiz, A., & Aquino-Brítez, D. (2024). Energy efficiency of machine learning frameworks in cloud computing: TensorFlow vs. PyTorch. International Conference on Mathematical Analysis and Applications in Science and Engineering (ICMASC2024)
- quino-Brítez, S., García-Sánchez, P., Ortiz, A., & Aquino-Brítez, D. (2024). Energy efficiency evaluation of frameworks for algorithms in time series forecasting. 10th International conference on Time Series and Forecasting (ITISE 2024)
- Gallego-Molina, N.J., Martínez-Murcia, F.J., Formoso, M.A., Castillo-Barnes, D., Ortiz, A., Ramírez, J., Górriz, J.M., Lopez-Perez, P.J., Luque, J.:”A Survey on EEG Phase Amplitude Coupling to Speech Rhythm for the Prediction of Dyslexia”. 10th International Work-Conference on the Interplay Between Natural and Artificial Computation. 2024.
- Escobar, J.J., López-Rodríguez, J., García-Gil, J., Morcillo-Jiménez, R., Prieto, B., Ortiz, A., Kimovski, D.:»Analysis of a Parallel and Distributed BPSO Algorithm for EEG Classification: Impact on Energy, Time and Accuracy». 11th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2024
- Aquino-Britez, S., García Sánchez, P., Ortiz, A., Aquino-Britez, D.:»Energy Efficiency Evaluation of Frameworks for Algorithms in Time Series Forecasting». International conference on Time Series and Forecasting, 2024
- Ortiz, A., Gallego-Molina, N.J., Castillo-Barnes, D., Rodrı́guez-Rodrı́guez, I., Górriz, J.M.»Visualizing Brain Synchronization: an explainable representation of phase-amplitude coupling». 10th International Conference on the Interplay between Natural and Artificial Computation. 2024
- Formoso, M.A., Gallego-Molina, N.J., Ortiz, A., Rodrı́guez-Rodrı́guez, I., Giménez, A.:»Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia».10th International Work-Conference on the Interplay between Natural and Artificial Computation 2024.
- Castillo-Barnes, D., Ortiz, A., Stabile, P., Gallego-Molina, N.J., Figueiredo, P., Luque, J.L.:» Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection». 10th International Work-Conference on the Interplay between Natural and Artificial Computation 2024.
- Mateo-Trujillo, J. I., Castillo-Barnés, D., Rodríguez-Rodríguez, I., Ortiz, A., Peinado, A., Luque, J. L., & Sánchez-Gómez, A. (2024, May). Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners. In International Work-Conference on the Interplay Between Natural and Artificial Computation 2024
- Rodríguez-Rodríguez, I., Ortiz, A., Formoso, M. A., Gallego-Molina, N.J. & Luque, J. L. (2024, May). Causal Mechanisms of Dyslexia Via Connectogram Modeling of Phase Synchrony. In International Work-Conference on the Interplay Between Natural and Artificial Computation 2024
- Gallego-Molina, N.J., Ortiz, A., Formoso, M.A., Martínez-Murcia, F.J., Woo, W, L.:»Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration». 10th International Work-Conference on the Interplay between Natural and Artificial Computation 2024.
- Juan José Escobar Pérez, Francisco Rodríguez, Rukiye Savran Kızıltepe, Beatriz Prieto, Dragi Kimovski, Andrés Ortiz, Alberto Prieto and Miguel Damas: «Energy-aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms», 17th International Work-Conference on Artificial Neural Networks – IWANN 2023.
- Munilla, J., Ortiz, A., Alsafi, H., Luque, J.L.:»Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm». 11th International Conference on Smart Computing and Artificial Intelligence.2022.
- A. Tahmassebi, K. Mueller, U. Meyer-Baese, J. Munilla, A. Ortiz, and A. Meyer-Baese «Graph signal processing to identify biomarkers in brain networks in dementia», Proc. SPIE 12036, Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, 1203615 (4 April 2022)
- Munilla, J., Ortiz, A., Alsafi, H., Luque, J.L.:»Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm». 11th International Conference on Smart Computing and Artificial Intelligence.2022.
- C. Jiménez-Mesa, Juan E. Arco, M. Valentí-Soler, B. Frades-Payo, M. A. Zea-Sevilla, A. Ortiz, M. Ávila-Villanueva, Diego Castillo-Barnes, J. Ramírez, T. del Ser-Quijano, C. Carnero-Pardo & J. M. Górriz.»Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022
- Ortiz, A., Arco, J.E., Formoso, M.A., Gallego-Molina, N.J. 1,3, Rodrı́guez-Rodrı́guez, I., Martı́nez-Murcia, F.J., Górriz, J. M., Ramı́rez, J.:»Towards mixed mode biomarkers: combining structural and functional information by deep learning». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022
- Formoso, M.A., Ortiz, A., Martı́nez-Murcia, F.J.,Aquino-Brı́tez, D., Escobar, Juan J., Luque, J.L.:»Temporal phase synchrony disruption in Dyslexia: anomaly patterns in auditory processing». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022
- Reyes-Daneri, C., Martı́nez-Murcia, F.J., Ortiz, A.:»Capacity estimation from environmental audio signals using Deep Learning». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022
- Rodrı́guez-Rodrı́guez, I., Ortiz, A., Formoso, M.A., Gallego-Molina, N,J., Luque, J.L.:»Inter-channel Granger causality for estimating EEG phase connectivity patterns in dyslexia». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022
- Gallego-Molina, N.J., Ortiz, A., Martı́nez-Murcia, F.J., Rodrı́guez-Rodrı́guez, I.:»Unraveling dyslexia-related connectivity patterns in EEG signals by Holo-Hilbert spectral
analysis». 9th International Work-Conference on the Interplay Between Natural and Artificial Computation. IWINAC 2022 - Ortega, A., Escobar, Juan J., Damas, M., Ortiz, A., González, J.:»Ant Colony Optimization for Feature Selection via a Filter-Randomized Search Heuristic». The Genetic and Evolutionary Computation Conference (GECCO), 2022.
- Formoso, A. Ortiz, A. Martínez-Murcia, F.J., Gallego, N., Luque, J.L., Escobar, J.J., Montoya, Francisco G.:»Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis». International Conference on Bioengineering, Biomedical Signal and Image Processing (BIOMESIP). 2021.
- Gallego, N., Formoso, M., Ortiz, A., Martinez-Murcia, F.J., Luque, J.:»Temporal EigenPAC for dyslexia diagnosis». International Work-Conference on Artificial Neural Networks, IWANN 2021
- Alcayde, A., Montoya1, F.G., Arrabal-Campos, F.M., González, J. Ortiz. A., Baños, R.:»Understanding Power Quality using IoT-based Smart Analyzers and Advanced Software Tools». 19 th International Conference on Renewable Energies and Power Quality, 2021 (ICREPQ’21)
- León, J., Escobar, J.J., González, J., Ortega, J., Arrabal-Campos, M., Ortiz, A., Damas, M.:»Recurrent neural networks and efficiency in high-dimensional EEG classification». International Conference on Bioengineering, Biomedical Signal and Image Processing (BIOMESIP). 2021
- Van Popering, L., Tahmassebi, A., Meyer-Baese, U., Dryba, M., Munilla, J., Ortiz, A., Meyer-Baese, A.:»Identifying the diffusion source of dementia spreading in structural brain networks». Proceedings Volume 11600, Medical Imaging 2021: Biomedical Applications in Molecular, Structural, and Functional Imaging; 116000A (2021) https://doi.org/10.1117/12.2582200
Event: SPIE Medical Imaging - León, J., Ortiz, A., Damas, M., González, J., Ortega, J.:»Cost-efficiency of Convolutional Neural Networks for high-dimensional EEG classification». The 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS). 2020
- Ortiz, A., Martínez-Murcia, F.J., Formoso, M.A., Luque, J., Sanchez, A.:»Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks». The 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS). 2020
- Martínez-Murcia, F.J., Ortiz, A., Formoso, M.A., Lopez-Zamora, M., Luque, J., Giménez. A.:»A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia». The 15th International Conference on Hybrid Artificial Intelligence Systems (HAIS). 2020
- Martínez-Murcia, F.J., Ramírez, J., Segovia, F. Ortiz, A., Carrillo, S., Leiva, J., Rodriguez-Rivero, J., Gorriz, J.M.:»Prediction of Transformer Temperature for Energy Distribution Smart Grids Using Recursive Neural Networks». 6th International conference on Time Series and Forecasting. 2019
- Luque, J.L., Ortiz, A., Cobo, M.A., Giménez, A., López-Pérez, P.J., López-Zamora, M., Sánchez, A.:»A Multiple Risk Factor study on the Prediction of Reading Learning Difficulties for Spanish Children Ages 4-7 and 5-8″. IWORDD 2019 International Workshop on Reading and Developmental Dyslexia
- Martínez-Murcia, F.J., Ortiz, A., Morales-Ortega, R., López, J.L., Luque, J.L., Castillo-Barnés, D., Ortega, J.:»Periodogram Connectivity of EEG Signals for the Detection of Dyslexia». 8th Work-Conference on the Interplay between. Natural and Artificial Computation (IWINAC 2019)
- Ortiz, A., López, P.J., Juque, J.L., Martínez-Murcia, F.J., Aquino-Britez, D., Ortega, J.:»An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals». 8th Work-Conference on the Interplay between. Natural and Artificial Computation (IWINAC 2019)
- Martínez-Ibáñez, M., Ortiz, A., Munilla, J., Salas-González, D., Górriz, J.M., Ramírez, J.:»Isosurface Modelling of DatSCAN images for Parkinson Disease Diagnosis». . 8th Work-Conference on the Interplay between. Natural and Artificial Computation (IWINAC 2019)
- León, J., Ortega, J., Ortiz, A.:»Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis». International Work-Conference on Artificial and Natural Neural Networks (IWANN 2019)
- Martinez-Murcia, F.J., Górriz, J.M., Ramírez, J., Castillo-Barnes, D., Salas-Gonzalez, D., Segovia, F., Ortiz, A.:»A Deep Decomposition of MRI to Explore Neurodegeneration in Alzheimer’s Disease». 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference.
- Sahumbaiev, I. Popov, A., Ramírez, J., Górriz, J.M., Ortiz, A.: «3D-CNN HadNet classification of MRI for Alzheimer’s Disease diagnosis». 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
- Galán-Mercant, A.; Moral-Muñoz, J.A.; Ortiz, A.; Herrera-Viedma, E.; Tomás, T.M.:»Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults». The 17th International Conference on Intelligent Software Methodologies, Tools, and Techniques (SOMET 2018)
- Martínez-Murcia, F.J.; Ortiz, A.; Górriz, J.M.; Ramírez, J.; Castillo-Barnes; D.; Salas-Gonzalez, D.; Segovia, F.:»Deep Convolutional Autoencoders vs. PCA in a highly unbalanced Parkinson’s disease dataset: A DaTSCAN study». The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2018)
- Ortiz, A.; Ramírez, J.; Cruz-Arándiga, R.; García-Tarifa, M.J.; Martínez-Murcia, F.J.; Górriz, J.M.:»Retinal Blood vessel segmentation by multi-channel deep convolutional autoencoder». The 13th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2018)
- Górriz, J.M.; Ramírez, J.; Illán, I.A.; F.J. Martínez-Murcia; F. Segovia; A. Ortiz: «Case-Based Statistical Learning applied to SPECT Image Classification. Proc. SPIE 10134, Medical Imaging 2017: Computer-Aided Diagnosis
- Ortiz, A.; Lozano, F.; Peinado, A.; García-Tarifa, M.J.; Górriz, J.M.; Ramírez, J.:»PET image classification using HHT-based features through fractal sampling. 7th. INTERNATIONAL WORK-CONFERENCE on the
INTERPLAY between NATURAL and ARTIFICIAL COMPUTATION. 2017″ - Martínez-Murcia, F.J.; Ortiz, A.; Górriz, J.M.; Ramírez, J.; Segovia, F.; Salas-Gonzalez, D.; Illán, I.:»A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson s Disease». 7th. INTERNATIONAL WORK-CONFERENCE on theINTERPLAY between NATURAL and ARTIFICIAL COMPUTATION. 2017″
- Segovia, F.; Górriz, J.M.; Ramírez, J.; Martínez-Murcia, F.J.; Illán, I.A.; Castillo-Barnes, D.; Ortiz,A.; Salas-Gonzalez, D.:»Automatic separation of parkinsonian patients and control subjects based on the striatal morphology». 7th. INTERNATIONAL WORK-CONFERENCE on the INTERPLAY between NATURAL and ARTIFICIAL COMPUTATION. 2017″
- Ortiz, A.; Munilla, J.; Martínez-Murcia, F.; Górriz, J.M.; Ramírez, J.:» Learning Longitudinal MRI patterns by SICE and Deep learning: assessing the Alzheimer’s disease progression». Medical Image Understanding and Analysis (MIUA) 2017.
- Ramírez, J.; Gómez, M.; Ortiz, A.:»Tree-based ensemble learning techniques in the analysis of Parkinsonian Syndromes». Medical Image Understanding and Analysis (MIUA) 2017.
- Martínez-Murcia, F.; Górriz, J.M.; Ramírez, J.; Segovia, F.; Salas-Gonzalez, D.; Castillo, D.; Ortiz, A.:»Evaluating Alzheimer’s Disease Progression Using Texture Analysis». Medical Image Understanding and Analysis (MIUA) 2017.
- Ortega, J.; Kimovski, D.; Q. Gan, J.; Ortiz, A.; Damas, M.:»A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces». 14th International Work-Conference on Artificial Neural Networks. 2017.
- Ortega, J.; Ortiz, A.; Martín, P.; Q. Gan, J.; González, J.:»Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis». 14th International Work-Conference on Artificial Neural Networks. 2017.
- López, M.; Peinado, A.; Ortiz, A.:»A SEIS Model for Propagation of Random Jamming Attacks in Wireless Sensor Networks». International Joint Conference CISIS2016, San Sebastián, Spain, october 19-21, 2016, Advances in Intelligent Systems and Computing, 527, pp 668-677, Springer
- Segovia, F.; Ill ́an, I.; Salas-Gonzalez, D.; Martínez-Murcia, F.J.; Ortiz, A.; Górriz, J.M., Ramírez, J.:»PETRA: A Web-based System Supporting Computer Aided
Diagnosis of Alzheimer’s Disease». IEEE NSS MIC, 2016. Strasbourg, France. 2016 - Rodríguez-Quintana, C.; Díaz, A.F.; Ortega, J.; Palacios, R.; Ortiz, A.:»A new scalable approach for distributed metadata in HPC». International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2016), Granada, Spain, December 14-16, 2016.
- Rodríguez-Quintana, C.; Díaz, A.F.; Ortega, J.; Palacios, R.H.; Ortiz, A.:»A Rendezvous Framework for the Automatic Deployment of Services in Cluster Computing». International Conference on Computational and Mathematical Methods in Science and Engineering. (CMMSE, 2016).
- Ortiz, A.; Martínez-Murcia, F.J.; García-Tarifa, M.J., Lozano, F.; Górriz, J.M.; Ramírez, J.:»Automated diagnosis of Parkinsonian Syndromes by deep sparse filtering-based features». Innovation in Medicine and Healthcare 2016.
- Ramírez, J.; Górriz, J.M.; Ortiz, A.; Padilla, P.; Martínez-Murcia, F.J.;Alzheimer Disease Neuroimaging Initiative.:»Ensemble Tree Learning Techniques for Magnetic Resonance Image Analysis». Innovation in Medicine and Healthcare 2015.
- Rodríguez, C.; Ortega, J.; Hernández, R.; Ortiz, A.:»Evaluating distributed metadata in HPC». 15th International Conference Computational and Mathematical Methods in Science and Engineering (CMMSE 2015).
- Martínez-Murcia, F.J.; Ortiz, A.; Górriz, J.M.; Ramírez, J.; Alvarez, I.:»A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer’s Disease».6th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC 2015). Accepted for publication.
- Ortiz, A.; Moreno-Estévez, M.; Górriz, J.M.; Ramírez, J.; García-Tarifa, M.J.; Munilla, J.; Haba, N.:»Automated diagnosis of Alzheimer’s Disease by integrating genetic biomarkers and tissue density information».6th International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC 2015). Accepted for publication.
- Martín-Smith, P.; Ortega, J.; Asensio-Cubero, J.; Q. Gan, J.; Ortiz, A.:»A label-aided filter method for multi-objective feature selection in EEG classification for BCI».International Work-Conference on Artificial Neural Networks (IWANN 2015). Accepted for Publication.
- Peinado, A.; Ortiz, A.:»Reducing the Key Space of an Image Encryption Scheme based on two-round diffusion process». 7th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2015).
- Ortega, J.; Asensio-Cubero, J.; Q. Gan, J.; Ortiz, A.:»Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI «.International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015). Accepted for Publication.
- Kimovski, D.; Ortega J.; Ortiz, A; Baños, R.:»Parallel cooperation for large-scale multiobjective optimization on feature selection problems». 18th European Conference on the Applications of Evolutionary Computation (EvoApps 2015). Accepted for Publication.
- Kimovski, D.; Ortega J.; Ortiz, A; Baños, R.:»Feature selection in high-dimensional EEG data by parallel multi-objective optimization». Second International Workshop on Parallelism in Bioinformatics. PBio 2014.
- Ortiz, A.; Fajardo, D.; Górriz, J.M.; Ramírez, J.; Martínez-Murcia, F.J.:»Multimodal image data fusion for Alzheimer’s Disease diagnosis by sparse representation». International Conference on Innnovation in Medicine and Healthcare (InMed), 2014.
- Peinado, A.; Ortiz, A.:»Prediction of sequences generated by LFSR using Back Propagation MLP». 6th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2014).
- Peinado, A.; Ortiz, A.; Munilla, J.:»Secure Distributed System inspired on Ant Colonies for Road Traffic Management in Emergency Situations». International Conference on Emerging Security Information, Systems and Technologies. (SECURWARE, 2013).
- Barbancho, A.M.; Ortiz, A. Barbancho, I.; Rosa-Pujazón, A.; Tardón, L.:»SOLFABOT: Low-cost Support Tool for Solfeo Training». 2013 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing. (PACRIM 2013).
- Peinado, A.; Ortiz, A.; Cotrina, C.:»Content-based image authentication using local features and SOM trajectories». 5th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2013).
- Peinado, A.; Ortiz, A.; Cotrina, C.:»Cryptanalysis of the improvement of an authentication scheme based on the Chinese Remainder Theorem for Multicast Communications «. 5th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2013).
- Díaz, A.F.; Anguita, M.; Ortega, J.; Ortiz, A.:»A Scalable Self-Balanced Model for Unified Cloud Storage Based on a Multi-Layer Architecture». International Conference on Computational and Mathematical Methods in Science and Engineering. (CMMSE, 2013).
- De la Hoz, E.; Ortiz, A.; Ortega, J.; De la Hoz, E.:»Network Anomaly Classification by Support Vector Classifiers Ensemble and Non-Linear Projection Technique». International Conference on Hybrid Artificial Intelligence Systems. (HAIS 2013).
- De la Hoz, E.; Ortiz, A.; Ortega, J.; De la Hoz, E.; Prieto, A.:»Network Anomaly Detection with Bayesian Self-Organizing Maps». International Work Conference on Artificial Neural Networks (IWANN 2013)
- Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D.:»Automatic ROI selection using SOM modelling in structural Brain MRI».International Conference on Hybrid Artificial Intelligence Systems. (IWINAC 2013).
- Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D.:» Optimized Segmentation of Brain MRI using GHSOM and evolutive computing». Advances in Knowledge-Based and Intelligent Information and Engineering Systems, (KES 2012).
- Ortiz, A.; Ortega, J.; Prieto, A.: Díaz, A.F.: «Improving Network Intrusion Detection with Growing Hierarchical Self-Organizing Maps». The 2011 International Conference on Artificial Intelligence (ICAI’11: July 18-21, 2011, USA).
- Cruz, R.; Ortiz, A.; Barbancho, A.; Barbancho, I.: «Unsupervised classification of audio signals by self-organizing maps and bayesian labeling». International Conference on Hybrid Artificial Intelligence Systems. (HAIS 2012).
- Ortiz, A.; Górriz, J.M.; Ramírez, J.; Salas-Gonzalez, D.: » MR Brain Image Segmentation with Supervised SOM and Probability-based Clustering Method». International Work-Conference on the Interplay between Natural and Artificial Computation. IWINAC 2011.
- Peinado, A.; Ortiz, A.: «Cryptanalysis of Multicast protocols with Key Refreshment based on the Extended Euclidean Algorithm». 4th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2011).
- Ortiz, A.; Barbancho, A,; Barbancho, I.; Cruz, R.: «Lightweight pitch detector using neural networks». 7th International Symposium on Computer Music Modeling and Retrieval. June, 2010.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Network Intrusion Prevention by using Hierarchical Self-Organizing Maps and Probability-based Labeling». International Work Conference on Artificial Neural Networks (IWANN 2011)
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Improving dynamic web servers by affinity-based network interfaces». 19th Euromicro Conference (PDP) Ayia Napa, Cyprus, February 2011.
- Ortiz, A.; Peinado, A.; Munilla, J.:» Robotic Vehicles to simulate RFID-based Vehicular ad Hoc Networks. SIMUTOOLS 2010, July 2010.
- Ortiz, A.; Peinado, A.; Munilla, J.:» What can RFID do for VANETs?» SECRYPT 2010, July 2010.
- Ortiz, A.; Peinado, A.; Munilla, J.:» A Scaled test bench for VANETs with RFID signalling». 2nd Workshop on Computational Intelligence in Security for Information Systems. Burgos, September 2009.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: » Improving the performance of bandwidth-demanding applications by a distributed network interface». International Symposium on Distributed Computing and Artificial Intelligence. IWANN 2009, Salamanca (Spain).
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: » A new offloaded/onloaded network interface for high performance communication». PDP 2009. Weimar (Germany). February, 2009.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Comparación de técnicas para la externalización de protocolos». Memorias de la 7ª Conferencia Iberoaméricana en Sistemas, Cibernética e Informática (CISCI2008). June, 2008, Orlando (EEUU).
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: » Comparison of Onloading and Offloading Strategies to Improve Network Performance». PDP 2008. Toulouse, February, 2008.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Analyzing protocol offload by full-system simulation». 15th Euromicro International conference on Paralell, distributed and network-based processing. PDP 2007. Naples, February, 2007.
- Munilla, J; Ortiz, A; Peinado, A.: «Distance bounding protocol with void-challenges for RFID». Workshop on RFID Secrity. RFIDSec. Graz. July, 2006.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Protocol offload evaluation using Simics». IEEE Cluster Computing. Barcelona, September, 2006.
- Ortiz, A.; Munilla, J.; Peinado, A.: «Secure wireless data link for low-cost telemetry and telecommand applications». 13th IEEE Mediterranean Electrotechnical Conference. Melecon, Benalmadena, May 2006.
- Ortiz, A.; Prieto, A.:SMS Transmission Using PDU mode and 7-bit coding scheme. IADIS International Conference. Madrid. November 2004.
National Conferences
- Juan José Escobar Pérez, Francisco Rodríguez, Beatriz Prieto Campos, Andrés Ortiz García, Alberto Prieto Espinosa, Miguel Damas Hermoso mRMR+KNN Energéticamente Eficiente para Clasificación de EEGs: Caso de Estudio en Plataformas Heterogéneas Jornadas SARTECO,- Ciudad Real (España), sep. 2023
- Cotrina, G., Ortiz, A., Peinado, A.:»Identificación de polinomios primitivos sobre cuerpos extendidos mediante análisis de secuencias entrelazadas». Actas de la XV Reunión Española de Criptología y Seguridad de la Información (Reunión Española de Criptología y Seguridad de la Información 2018, RECSI 2018).
- Martín-Smith, P.; Ortega, J.; Asensio-Cubero, J.; Q. Gan, J.; Ortiz, A.:»Filtro supervisado para la selección multi-objetivo de características de electroencefalogramas para BCI». CAEPIA-MAEB.- XI Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados. 2016.
- Peinado, A.; Cotrina, C.; Ortiz, A.:»Generador Pseudoaleatorio con Distribución Gaussiana implementado con LFSR». XVII Simposium Nacional de la Unión de Radio. September 2016. Madrid.
- López, M., Peinado, A., Ortiz, A.:»Modelo epidemiológico para la propagación del jamming aleatorio en redes de sensores inalámbricos». XIV Reunión Española sobre Criptología y Seguridad de la Información. 2016
- Cotrina, G., Peinado, A., Ortiz, A.:»Utilización de un generador con distribución gaussiana para aumentar la complejidad lineal de las m -secuencias». XIV Reunión Española sobre Criptología y Seguridad de la Información. 2016
- Kimovski, D.; Ortega, J.; Ortiz, A.; Baños, R.:»Cooperación paralela para selección multiobjetivo de características en problemas de dimensión elevada «. X Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados – MAEB 2015
- Kimovski, D.; Ortega, J.; Ortiz, A.; Baños, R.:»Computación evolutiva paralela y selección de características multiobjetivo para clasificación no supervisada de EEGs». XXV Jornadas de Paralelismo. 2014
- Peinado, A.; Ortiz, A.; Munilla, J.:»Alternativas Inalámbricas Seguras para la Gestión Distribuida del Transporte por Carretera». Transnova 2013, X Foro de innovaciones tecnológicas para el transporte»
- Peinado, A.; Ortiz,A.; Cotrina, A.:»Protección de la propiedad intelectual mediante mapas auto-organizados». XI Jornadas de Ingeniería Telemática (JITEL 2013).
- Peinado, A.; Díaz, L,; Gómez, M,; Ortiz, A.:»Aplicación de la Internet de las Cosas a la Gestión del Tráfico de Vehículos en Situaciones de Emergencia». XXVIII Simposium Nacional de la unión científica internacional de Radio. URSI. Santiago de Compostela. September, 2013.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.:»Interfaces de Red con Afinidad para la Comunicación Eficiente en Arquitecturas Multinúcleo». XXIV jornadas de Paralelismo. Madrid. 2013.
- Munilla, J., Ortiz, A., Peinado, A.:»Criptografía basada en identidad aplicada a los sistemas RFID para mejorar la Seguridad Vial». Reunión Española sobre Criptología y Seguridad de la Información, (RECSI 2010)
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Arquitecturas de comunicación para nodos multi-núcleo: evaluación en servidores web dinámicos.». XXI Jornadas de Paralelismo. Valencia, September 2010.
- Vivas, L.A.; Calvo, J.; Restrepo, F.; Cuenca, S.; Ortiz, A.; Martínez, A.: «Mejora del rendimiento de una aplicación mediante la determinación de las opciones óptimas de compilación». XXI Jornadas de Paralelismo. Valencia. September 2010.
- Soto, G.; Peinado, A.; Ortiz, A.: » Sistema RFID para Publicidad no Invasiva a través de Pantallas». XXIV Simposium de la Unión Científica Internacional de Radio. Santander, September 2009.
- Haider, W.M.; Ortega, J.; Díaz, A.F.; Ortiz, A..: » Análisis de opciones de externalización de interfaces de red con modelos HDL.». XX Jornadas de Paralelismo. A Coru»a, September 2009.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: » Evaluación en servidores Web de una interfaz de red distribuida». XX Jornadas de Paralelismo. A Coru»a, September 2009.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Alternativas para la interfaz de red en servidores multiprocesador» . XIX Jornadas de Paralelismo. September, 2008
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: Comparación de prestaciones Onloading/Offloading mediante Simics». XVIII Jornadas de Paralelismo. September 2007. Zaragoza.
- Munilla, J; Ortiz, A; Peinado, A.:» Modo de encriptación de paquetes para sistemas inalambricos de baja complejidad». XVII Simposium Nacional de la Unión de Radio. September 2007. Tenerife
- Ortiz, A.; Munilla, J.; Peinado, A.: «Enlace inalámbrico seguro para redes de sensores». XXI Simposium Nacional de la unión científica internacional de Radio. URSI. Oviedo. September, 2006.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Simulación de la externalización de protocolos con Simics». XVII Jornadas de Paralelismo. Albacete. September 2006.
- Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: «Análisis de la externalización de protocolos mediante simulación HDL». XVI jornadas de Paralelismo. Granada. September 2005.