Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndrés Ortiz
Andrés Ortiz García
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j66]Juan Eloy Arco
, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression. Appl. Soft Comput. 134: 109991 (2023)- [j65]Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz:
Using Explainable Artificial Intelligence in the Clock Drawing Test to Reveal the Cognitive Impairment Pattern. Int. J. Neural Syst. 33(4): 2350015:1-2350015:16 (2023) - [j64]Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez, Juan Luis Luque:
Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data. Int. J. Neural Syst. 33(4): 2350017:1-2350017:18 (2023) - [j63]Juan Eloy Arco, Andrés Ortiz, Nicolás Gallego-Molina, Juan Manuel Górriz, Javier Ramírez:
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism. Int. J. Neural Syst. 33(4): 2350019:1-2350019:18 (2023) - [j62]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia. Int. J. Neural Syst. 33(4): 2350020:1-2350020:18 (2023) - [j61]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yudong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of multi-scale deep architectures for image classification. Inf. Fusion 89: 53-65 (2023) - [i9]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Nicolás Gallego-Molina, Marco A. Formoso, Wai Lok Woo:
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality. CoRR abs/2301.00552 (2023) - 2022
- [j60]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Yu-Dong Zhang, Juan Manuel Górriz:
Tiled Sparse Coding in Eigenspaces for Image Classification. Int. J. Neural Syst. 32(3): 2250007:1-2250007:22 (2022) - [j59]Juan Manuel Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. Neurocomputing 510: 159-171 (2022) - [j58]Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Almudena Giménez:
Complex network modeling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis. Knowl. Based Syst. 240: 108098 (2022) - [c66]Guillermo Cotrina, Alberto Peinado, Andrés Ortiz:
Efficient Implementation of Stream Cipher SNOW 3G for Resource-Constrained Devices. CISIS-ICEUTE 2022: 95-103 - [c65]Alberto Ortega, Juan José Escobar, Miguel Damas, Andrés Ortiz, Jesús González:
Ant colony optimization for feature selection via a filter-randomized search heuristic. GECCO Companion 2022: 85-88 - [c64]Jorge Munilla, Andrés Ortiz, Haedar Al-Safi, Juan Luis Luque:
Enhanced Computation of the EEG-IC Polarities using a Genetic Algorithm. IIAI-AAI 2022: 319-324 - [c63]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Juan José Escobar, Juan Luis Luque:
Temporal Phase Synchrony Disruption in Dyslexia: Anomaly Patterns in Auditory Processing. IWINAC (1) 2022: 13-22 - [c62]Carmen Jimenez-Mesa, Juan Eloy Arco, Meritxell Valentí-Soler, Belén Frades-Payo, María A. Zea-Sevilla, Andrés Ortiz, Marina Ávila-Villanueva, Diego Castillo-Barnes, Javier Ramírez, Teodoro Del Ser-Quijano, Cristóbal Carnero-Pardo, Juan Manuel Górriz:
Automatic Classification System for Diagnosis of Cognitive Impairment Based on the Clock-Drawing Test. IWINAC (1) 2022: 34-42 - [c61]Nicolás Gallego-Molina, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Ignacio Rodríguez-Rodríguez:
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis. IWINAC (1) 2022: 43-52 - [c60]Ignacio Rodríguez-Rodríguez, Andrés Ortiz, Marco A. Formoso, Nicolás Gallego-Molina, Juan Luis Luque:
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia. IWINAC (1) 2022: 53-62 - [c59]Andrés Ortiz, Juan Eloy Arco, Marco A. Formoso, Nicolás Gallego-Molina, Ignacio Rodríguez-Rodríguez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning. IWINAC (1) 2022: 95-103 - [c58]C. Reyes-Daneri, Francisco Jesús Martínez-Murcia, Andrés Ortiz:
Capacity Estimation from Environmental Audio Signals Using Deep Learning. IWINAC (1) 2022: 114-124 - [c57]Juan Eloy Arco, Andrés Ortiz, Diego Castillo-Barnes, Juan Manuel Górriz, Javier Ramírez:
Quantifying Inter-hemispheric Differences in Parkinson's Disease Using Siamese Networks. IWINAC (1) 2022: 156-165 - [i8]J. M. Górriz, Rubén Martín-Clemente, Carlos García Puntonet, Andrés Ortiz, Javier Ramírez, John Suckling:
A hypothesis-driven method based on machine learning for neuroimaging data analysis. CoRR abs/2202.04397 (2022) - 2021
- [j57]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz, Ricardo Cruz:
Deep residual transfer learning for automatic diagnosis and grading of diabetic retinopathy. Neurocomputing 452: 424-434 (2021) - [j56]Juan Manuel Górriz, Carmen Jimenez-Mesa, Rafael Romero-Garcia, Fermín Segovia, Javier Ramírez, Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Diego Salas-Gonzalez, Ignacio Álvarez Illán, Carlos García Puntonet, David López-García, Manuel Gómez-Río, John Suckling:
Statistical Agnostic Mapping: A framework in neuroimaging based on concentration inequalities. Inf. Fusion 66: 198-212 (2021) - [j55]Diego A. Aquino Brítez, Andrés Ortiz, Julio Ortega, Javier León, Marco A. Formoso, John Q. Gan, Juan José Escobar:
Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors 21(6): 2096 (2021) - [j54]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque:
Detecting Phase-Synchrony Connectivity Anomalies in EEG Signals. Application to Dyslexia Diagnosis. Sensors 21(21): 7061 (2021) - [c56]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque, Juan José Escobar, Francisco G. Montoya:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. BIOMESIP 2021: 97-106 - [c55]Javier León, Juan José Escobar, Jesús González, Julio Ortega, Francisco Manuel Arrabal-Campos, Andrés Ortiz, Miguel Damas:
Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification. BIOMESIP 2021: 297-310 - [c54]Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for Dyslexia Diagnosis. IWANN (2) 2021: 45-56 - [i7]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Jordi Broncano, Manuel Álvaro Berbís, Javier Royuela-del-Val, Antonio Luna, Juan Manuel Górriz:
Probabilistic combination of eigenlungs-based classifiers for COVID-19 diagnosis in chest CT images. CoRR abs/2103.02961 (2021) - [i6]Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Nicolás Gallego-Molina, Juan Luis Luque:
Modelling Brain Connectivity Networks by Graph Embedding for Dyslexia Diagnosis. CoRR abs/2104.05497 (2021) - [i5]Nicolás Gallego-Molina, Marco A. Formoso, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque:
Temporal EigenPAC for dyslexia diagnosis. CoRR abs/2104.05991 (2021) - [i4]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Juan Manuel Górriz:
Tiled sparse coding in eigenspaces for the COVID-19 diagnosis in chest X-ray images. CoRR abs/2106.14724 (2021) - 2020
- [j53]Javier Ramírez, Juan Manuel Górriz, Andrés Ortiz, James H. Cole, Martin Dyrba:
Editorial: Deep Learning in Aging Neuroscience. Frontiers Neuroinformatics 14: 573974 (2020) - [j52]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Juan Luis Luque, Almudena Giménez, Roberto Cesar Morales-Ortega, Julio Ortega:
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach. Int. J. Neural Syst. 30(7): 2050029:1-2050029:19 (2020) - [j51]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Pedro Javier Lopez-Abarejo, Miguel Lopez-Zamora, Juan Luis Luque:
EEG Connectivity Analysis Using Denoising Autoencoders for the Detection of Dyslexia. Int. J. Neural Syst. 30(7): 2050037:1-2050037:17 (2020) - [j50]Diego Castillo-Barnes, Francisco Jesús Martínez-Murcia, Andrés Ortiz García, Diego Salas-Gonzalez, Javier Ramírez, Juan Manuel Górriz:
Morphological Characterization of Functional Brain Imaging by Isosurface Analysis in Parkinson's Disease. Int. J. Neural Syst. 30(9): 2050044:1-2050044:15 (2020) - [j49]Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz, Francisco Jesús Martínez-Murcia, Fermín Segovia, John Suckling, Matthew Leming, Yu-Dong Zhang, José Ramón Álvarez Sánchez, Guido Bologna, María Paula Bonomini, Fernando E. Casado, David Charte, Francisco Charte, Ricardo Contreras, Alfredo Cuesta-Infante, Richard J. Duro, Antonio Fernández-Caballero, José Manuel Ferrández:
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications. Neurocomputing 410: 237-270 (2020) - [j48]Jacob Rodriguez-Rivero, Javier Ramírez, Francisco Jesús Martínez-Murcia, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio Álvarez Illán, Carlos García Puntonet, Carmen Jimenez-Mesa, F. J. Leiva, S. Carillo, John Suckling, Juan Manuel Górriz:
Granger causality-based information fusion applied to electrical measurements from power transformers. Inf. Fusion 57: 59-70 (2020) - [j47]Diego Castillo-Barnes, Li Su, Javier Ramírez, Diego Salas-Gonzalez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Andrés Ortiz, Carlos Cruchaga, Martin R. Farlow, Chengjie Xiong, Neil R. Graff-Radford, Peter R. Schofield, Colin L. Masters, Stephen P. Salloway, Mathias Jucker, Hiroshi Mori, Johannes Levin, Juan Manuel Górriz, Dominantly Inherited Alzheimer Network (DIAN):
Autosomal dominantly inherited alzheimer disease: Analysis of genetic subgroups by machine learning. Inf. Fusion 58: 153-167 (2020) - [j46]Guillermo Cotrina, Alberto Peinado, Andrés Ortiz:
Gaussian Pseudorandom Number Generator Based on Cyclic Rotations of Linear Feedback Shift Registers. Sensors 20(7): 2103 (2020) - [j45]Inês Domingues, Henning Müller, Andrés Ortiz, Belur V. Dasarathy, Pedro H. Abreu, Vince D. Calhoun:
Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE J. Biomed. Health Informatics 24(1): 14-16 (2020) - [j44]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes:
Studying the Manifold Structure of Alzheimer's Disease: A Deep Learning Approach Using Convolutional Autoencoders. IEEE J. Biomed. Health Informatics 24(1): 17-26 (2020) - [c53]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Marco A. Formoso, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez:
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. HAIS 2020: 620-630 - [c52]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez:
Dyslexia Detection from EEG Signals Using SSA Component Correlation and Convolutional Neural Networks. HAIS 2020: 655-664 - [c51]Javier León, Andrés Ortiz, Miguel Damas, Jesús González, Julio Ortega:
Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification. HAIS 2020: 774-785 - [i3]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Miguel Lopez-Zamora, Juan Luis Luque, Almudena Giménez:
A Neural Approach to Ordinal Regression for the Preventive Assessment of Developmental Dyslexia. CoRR abs/2002.02184 (2020) - [i2]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Marco A. Formoso, Juan Luis Luque, Auxiliadora Sánchez:
Dyslexia detection from EEG signals using SSA component correlation and Convolutional Neural Networks. CoRR abs/2010.13731 (2020) - [i1]Juan Eloy Arco, Andrés Ortiz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Yu-Dong Zhang, Juan Manuel Górriz:
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images. CoRR abs/2011.14894 (2020)
2010 – 2019
- 2019
- [j43]Miguel López, Alberto Peinado, Andrés Ortiz:
An extensive validation of a SIR epidemic model to study the propagation of jamming attacks against IoT wireless networks. Comput. Networks 165 (2019) - [j42]Andrés Ortiz, Jorge Munilla, Manuel Martínez-Ibañez, Juan Manuel Górriz, Javier Ramírez, Diego Salas-Gonzalez:
Parkinson's Disease Detection Using Isosurfaces-Based Features and Convolutional Neural Networks. Frontiers Neuroinformatics 13: 48 (2019) - [j41]Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling. Int. J. Neural Syst. 29(2): 1850040:1-1850040:22 (2019) - [j40]Andrés Ortiz, Francisco Jesús Martínez-Murcia, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez:
Label aided deep ranking for the automatic diagnosis of Parkinsonian syndromes. Neurocomputing 330: 162-171 (2019) - [j39]Alejandro Galán-Mercant, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas, Beatriz Fernandes, José Antonio Moral-Muñoz:
Assessing physical activity and functional fitness level using convolutional neural networks. Knowl. Based Syst. 185 (2019) - [j38]Cristina Roldán Jiménez, Paul Bennett, Andrés Ortiz García, Antonio I. Cuesta-Vargas:
Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study. Sensors 19(19): 4202 (2019) - [c50]Javier León, Julio Ortega, Andrés Ortiz:
Convolutional Neural Networks and Feature Selection for BCI with Multiresolution Analysis. IWANN (1) 2019: 883-894 - [c49]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Roberto Cesar Morales-Ortega, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Diego Castillo-Barnes, Fermín Segovia, Ignacio A. Illán, Julio Ortega, Javier Ramírez, Juan Manuel Górriz:
Periodogram Connectivity of EEG Signals for the Detection of Dyslexia. IWINAC (1) 2019: 350-359 - [c48]Manuel Martínez-Ibañez, Andrés Ortiz, Jorge Munilla, Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez:
Isosurface Modelling of DatSCAN Images for Parkinson Disease Diagnosis. IWINAC (1) 2019: 360-368 - [c47]Andrés Ortiz, Pedro Javier Lopez-Abarejo, Juan Luis Luque, Francisco Jesús Martínez-Murcia, Diego A. Aquino Brítez, Julio Ortega:
An Anomaly Detection Approach for Dyslexia Diagnosis Using EEG Signals. IWINAC (1) 2019: 369-378 - [c46]Johan Mardini-Bovea, Emiro de la Hoz Franco, Diego Molina-Estren, Paola Ariza Colpas, Andrés Ortiz, Julio Ortega, César A. Cárdenas R., Carlos Andrés Collazos Morales:
Bayesian Classifiers in Intrusion Detection Systems. MLN 2019: 379-391 - 2018
- [j37]Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez Perez de Inestrosa, Andrés Ortiz:
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? Int. J. Neural Syst. 28(10): 1850035:1-1850035:18 (2018) - [j36]Mike Burmester, Jorge Munilla, Andrés Ortiz:
Comments on "Unreconciled Collisions Uncover Cloning Attacks in Anonymous RFID Systems". IEEE Trans. Inf. Forensics Secur. 13(11): 2929-2931 (2018) - [c45]Andrés Ortiz, Javier Ramírez, Ricardo Cruz-Arándiga, María J. García-Tarifa, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz:
Retinal Blood Vessel Segmentation by Multi-channel Deep Convolutional Autoencoder. SOCO-CISIS-ICEUTE 2018: 37-46 - [c44]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Diego Castillo-Barnes, Diego Salas-Gonzalez, Fermín Segovia:
Deep Convolutional Autoencoders vs PCA in a Highly-Unbalanced Parkinson's Disease Dataset: A DaTSCAN Study. SOCO-CISIS-ICEUTE 2018: 47-56 - [c43]Alejandro Galán-Mercant, José Antonio Moral-Muñoz, Andrés Ortiz, Enrique Herrera-Viedma, Maria Teresa Tomas:
Predicting Physical Activity and Functional Fitness Levels Through Inertial Signals and EMD-Based Features in Older Adults. SoMeT 2018: 954-966 - 2017
- [j35]Juan Manuel Górriz, Javier Ramírez, John Suckling, Ignacio Álvarez Illán, Andrés Ortiz García, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Shuihua Wang:
Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM. IEEE Access 5: 11468-11478 (2017) - [j34]Juan Manuel Górriz, Javier Ramírez, John Suckling, Francisco Jesús Martínez-Murcia, Ignacio Álvarez, Fermín Segovia, Andrés Ortiz, Diego Salas-Gonzalez, Diego Castillo-Barnes, Carlos García Puntonet:
A semi-supervised learning approach for model selection based on class-hypothesis testing. Expert Syst. Appl. 90: 40-49 (2017) - [j33]Jorge Munilla, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Alzheimer's Disease Neuroimaging Initiative:
Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease. Frontiers Neuroinformatics 11: 19 (2017) - [j32]Pedro Martín-Smith, Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz:
A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing 250: 45-56 (2017) - [j31]Francisco Lozano, Andrés Ortiz, Jorge Munilla, Alberto Peinado:
Automatic computation of regions of interest by robust principal component analysis. Application to automatic dementia diagnosis. Knowl. Based Syst. 123: 229-237 (2017) - [j30]Mike Burmester, Jorge Munilla, Andrés Ortiz, Pino Caballero-Gil:
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels. Sensors 17(7): 1562 (2017) - [c42]Julio Ortega, Dragi Kimovski, John Q. Gan, Andrés Ortiz, Miguel Damas:
A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces. IWANN (1) 2017: 16-27 - [c41]Julio Ortega, Andrés Ortiz, Pedro Martín-Smith, John Q. Gan, Jesús González Peñalver:
Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis. IWANN (1) 2017: 28-39 - [c40]Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Ignacio A. Illán, Fermín Segovia, Diego Salas-González, Andrés Ortiz:
Case-Based Statistical Learning: A Non Parametric Implementation Applied to SPECT Images. IWINAC (1) 2017: 305-313 - [c39]Andrés Ortiz, Francisco Lozano, Alberto Peinado, María J. García-Tarifa, J. M. Górriz, Javier Ramírez:
PET Image Classification Using HHT-Based Features Through Fractal Sampling. IWINAC (1) 2017: 314-323 - [c38]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán:
A 3D Convolutional Neural Network Approach for the Diagnosis of Parkinson's Disease. IWINAC (1) 2017: 324-333 - [c37]Fermín Segovia, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz, Diego Salas-Gonzalez:
Automatic Separation of Parkinsonian Patients and Control Subjects Based on the Striatal Morphology. IWINAC (1) 2017: 345-352 - [c36]Juan Manuel Górriz, Javier Ramírez, Ignacio A. Illán, Francisco Jesús Martínez-Murcia, Fermín Segovia, Diego Salas-Gonzalez, Andrés Ortiz:
Case-based statistical learning applied to SPECT image classification. Medical Imaging: Computer-Aided Diagnosis 2017: 101342D - [c35]Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. MIUA 2017: 413-424 - [c34]Juan Manuel Górriz, Javier Ramírez, M. Moreno-Caballero, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Ignacio A. Illán, Fermín Segovia, Diego Salas-Gonzalez, Manuel Gómez-Río:
Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. MIUA 2017: 459-469 - [c33]Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz:
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. MIUA 2017: 470-481 - 2016
- [j29]Alberto Peinado, Andrés Ortiz, Guillermo Cotrina:
Content-based image authentication using sparse features and SOM trajectories. Log. J. IGPL 24(1): 4-15 (2016) - [j28]Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Andrés Ortiz:
A Structural Parametrization of the Brain Using Hidden Markov Models-Based Paths in Alzheimer's Disease. Int. J. Neural Syst. 26(7): 1650024:1-1650024:15 (2016) - [j27]Andrés Ortiz, Jorge Munilla, Juan Manuel Górriz, Javier Ramírez:
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease. Int. J. Neural Syst. 26(7): 1650025:1-1650025:23 (2016) - [c32]Cristina Rodríguez-Quintana, Antonio F. Díaz, Julio Ortega, Raúl H. Palacios, Andrés Ortiz:
A New Scalable Approach for Distributed Metadata in HPC. ICA3PP 2016: 106-117 - [c31]Miguel López, Alberto Peinado, Andrés Ortiz:
A SEIS Model for Propagation of Random Jamming Attacks in Wireless Sensor Networks. SOCO-CISIS-ICEUTE 2016: 668-677 - 2015
- [j26]Antonio Martínez-Álvarez, Sergio Cuenca-Asensi, Andrés Ortiz, Jorge Calvo-Zaragoza, Luis Alberto Vivas Tejuelo:
Tuning compilations by multi-objective optimization: Application to Apache web server. Appl. Soft Comput. 29: 461-470 (2015) - [j25]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Leveraging cooperation for parallel multi-objective feature selection in high-dimensional EEG data. Concurr. Comput. Pract. Exp. 27(18): 5476-5499 (2015) - [j24]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Parallel alternatives for evolutionary multi-objective optimization in unsupervised feature selection. Expert Syst. Appl. 42(9): 4239-4252 (2015) - [j23]Andrés Ortiz, Jorge Munilla, Ignacio Álvarez Illán, Juan Manuel Górriz, Javier Ramírez:
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis. Frontiers Comput. Neurosci. 9: 132 (2015) - [j22]Eduardo de la Hoz Correa, Emiro de la Hoz Franco, Andrés Ortiz, Julio Ortega Lopera, Beatriz Prieto:
PCA filtering and probabilistic SOM for network intrusion detection. Neurocomputing 164: 71-81 (2015) - [c30]Alberto Peinado, Andrés Ortiz García:
Reducing the Key Space of an Image Encryption Scheme Based on Two-Round Diffusion Process. CISIS-ICEUTE 2015: 447-453 - [c29]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Parallel Cooperation for Large-Scale Multiobjective Optimization on Feature Selection Problems. EvoApplications 2015: 693-705 - [c28]Pedro Martín-Smith, Julio Ortega Lopera, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz:
A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI. IWANN (1) 2015: 133-144 - [c27]Julio Ortega, Javier Asensio-Cubero, John Q. Gan, Andrés Ortiz:
Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI. IWBBIO (1) 2015: 347-359 - [c26]Andrés Ortiz, Miguel Moreno-Estévez, Juan Manuel Górriz, Javier Ramírez, María J. García-Tarifa, Jorge Munilla, Nuria Haba:
Automated Diagnosis of Alzheimer's Disease by Integrating Genetic Biomarkers and Tissue Density Information. IWINAC (1) 2015: 1-8 - [c25]Francisco Jesús Martínez-Murcia, Andrés Ortiz, Juan Manuel Górriz, Javier Ramírez, I. Álvarez Illán:
A Volumetric Radial LBP Projection of MRI Brain Images for the Diagnosis of Alzheimer's Disease. IWINAC (1) 2015: 19-28 - 2014
- [j21]Antonio Martínez-Álvarez, Jorge Calvo-Zaragoza, Sergio Cuenca-Asensi, Andrés Ortiz, Antonio Jimeno-Morenilla:
Multi-objective adaptive evolutionary strategy for tuning compilations. Neurocomputing 123: 381-389 (2014) - [j20]Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Ignacio Álvarez Illán, Andrés Ortiz:
Automatic detection of Parkinsonism using significance measures and component analysis in DaTSCAN imaging. Neurocomputing 126: 58-70 (2014) - [j19]Andrés Ortiz, J. M. Górriz, Javier Ramírez, Diego Salas-Gonzalez:
Improving MR brain image segmentation using self-organising maps and entropy-gradient clustering. Inf. Sci. 262: 117-136 (2014) - [j18]Emiro de la Hoz Franco, Eduardo de la Hoz Correa, Andrés Ortiz, Julio Ortega Lopera, Antonio Martínez-Álvarez:
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps. Knowl. Based Syst. 71: 322-338 (2014) - [c24]Dragi Kimovski, Julio Ortega Lopera, Andrés Ortiz, Raul Baños:
Feature selection in high-dimensional EEG data by parallel multi-objective optimization. CLUSTER 2014: 314-322 - [c23]Andrés Ortiz, Daniel Fajardo, Juan Manuel Górriz, Javier Ramírez, Francisco Jesús Martínez-Murcia:
Multimodal image data fusion for Alzheimer's Disease diagnosis by sparse representation. InMed 2014: 11-18 - [c22]