Address

E.T.S Ingeniería de Telecomunicación
Communications Engineering Department
Room 1.2.19
Campus de Teatinos s/n

Contact Information

Call: +34952133353

Email: aortiz(at)ic.uma.es

Andrés Ortiz García

Associate Professor
(Profesor Titular 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 in Computer Science 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 Systems Engineer with Telefonica, Madrid, Spain, where his work areas were high performance computing and network performance analysis. Currently he is an Associate Professor at the Department of Communication Engineering of the University of Malaga and head of the research group on biomedical signal processing, computational intelligence and communications security (BioSiP). His research interests include intelligence systems, neurosciences, statistical signal processing with biomedical applications and high performance computing. He has coauthored more than 120 technical journal and conference papers in these research areas and has been the principal investigator in different funded research projects related to biomedical signal processing and intelligent diagnosis systems. He has served as editor and reviewer for several international journals and conferences.

Selected Publications (Journals)
International Conferences
National Conferences
Research Projects

Indexed Journals (JCR)

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
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
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

  1. 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.
  2. 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
  3. 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
  4. 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”. SPIE Medical Imaging, 2021
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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.
  15. 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)
  16. 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)
  17. 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)
  18. 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)
  19. 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
  20. 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″
  21. 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″
  22. 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″
  23. 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.
  24. Ramírez, J.; Gómez, M.; Ortiz, A.:”Tree-based ensemble learning techniques in the analysis of Parkinsonian Syndromes”. Medical Image Understanding and Analysis (MIUA) 2017.
  25. 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.
  26. 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.
  27. 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.
  28. 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
  29. 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
  30. 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.
  31. 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).
  32. 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.
  33. 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.
  34. 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).
  35. 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.
  36. 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.
  37. 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.
  38. 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).
  39. 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.
  40. 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.
  41. 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.
  42. 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.
  43. 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).
  44. 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).
  45. 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).
  46. 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).
  47. 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).
  48. 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).
  49. 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).
  50. 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)
  51. 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).
  52. 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).
  53. 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).
  54. 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).
  55. 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.
  56. 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).
  57. 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.
  58. 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)
  59. 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.
  60. Ortiz, A.; Peinado, A.; Munilla, J.:” Robotic Vehicles to simulate RFID-based Vehicular ad Hoc Networks. SIMUTOOLS 2010, July 2010.
  61. Ortiz, A.; Peinado, A.; Munilla, J.:” What can RFID do for VANETs?” SECRYPT 2010, July 2010.
  62. 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.
  63. 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).
  64. 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.
  65. 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).
  66. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: ” Comparison of Onloading and Offloading Strategies to Improve Network Performance”. PDP 2008. Toulouse, February, 2008.
  67. 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.
  68. Munilla, J; Ortiz, A; Peinado, A.: “Distance bounding protocol with void-challenges for RFID”. Workshop on RFID Secrity. RFIDSec. Graz. July, 2006.
  69. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: “Protocol offload evaluation using Simics”. IEEE Cluster Computing. Barcelona, September, 2006.
  70. 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.
  71. Ortiz, A.; Prieto, A.:SMS Transmission Using PDU mode and 7-bit coding scheme. IADIS International Conference. Madrid. November 2004.

National Conferences

  1. 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
  2. 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.
  3. 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
  4. 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
  5. 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”
  6. Peinado, A.; Ortiz,A.; Cotrina, A.:”Protección de la propiedad intelectual mediante mapas auto-organizados”. XI Jornadas de Ingeniería Telemática (JITEL 2013).
  7. 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.
  8. 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.
  9. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: ” Interfaces de red distribuidas: evaluación en servidores Web dinámicos”. XXI Jornadas de Paralelismo. Valencia, September 2010.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: “Alternativas para la interfaz de red en servidores multiprocesador” . XIX Jornadas de Paralelismo. September, 2008
  15. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: Comparación de prestaciones Onloading/Offloading mediante Simics”. XVIII Jornadas de Paralelismo. September 2007. Zaragoza.
  16. 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
  17. 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.
  18. Ortiz, A.; Ortega, J.; Díaz, A.F.; Prieto, A.: “Simulación de la externalización de protocolos con Simics”. XVII Jornadas de Paralelismo. Albacete. September 2006.
  19. 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.