Listar por autor "Ortiz-García, Andrés"
Mostrando ítems 1-20 de 49
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An Extensive Validation of a SIR Epidemic Model to Study the Propagation of Jamming Attacks against IoT Wireless Networks.
Lopez Delgado, Miguel; Peinado-Domínguez, Alberto
; Ortiz-García, Andrés (Elsevier, 2019-10-21)
This paper describes the utilization of an epidemic approach to study the propagation of jamming attacks, which can affect to different communication layers of all nodes in a variety of Internet of Things (IoT) ... -
Assessing Functional Brain Network Dynamics in Dyslexia From fNIRS Data
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Rodríguez-Rodríguez, Ignacio; Luque-Vilaseca, Juan Luis (World Scientific, 2023-01-09)
Developmental dyslexia is characterized by a deficit of phonological awareness whose origin is related to atypical neural processing of speech streams. This can lead to differences in the neural networks that encode audio ... -
Assessing Physical Activity and Functional Fitness Level Using Convolutional Neural Networks.
Galán Mercant, Alejandro; Ortiz-García, Andrés; Herrera Viedma, Enrique; Tomas, Maria Teresa; Fernandes, Beatriz; Moral-Muñoz, Jose A.[et al.] (Elsevier, 2019-12-01)
Older adults are related to a reduction in physical functionality, as a result of a musculoskeletal system degeneration. In that way, physical exercise has been stated as a suitable intervention to prevent such health ... -
Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning.
Castillo-Barnes, Diego; Li, Su; Ramírez-Aguilar, Francisco Javier; Salas-González, Diego; Martínez-Murcia, Francisco Jesús; Álvarez-Illán, Ignacio; Segovia, Fermín; Ortiz-García, Andrés; Cruchaga, Carlos; Farlow, Martin R.; Xiong, Chengjie; Graff-Radford, Neil R.; Schofield, Peter R.; Masters, Colin L.; Salloway, Stephen; Jucker, Mathias; Mori, Hiroshi; Levin, Johannes; Górriz-Sáez, Juan Manuel[et al.] (Elsevier, 2020-01-07)
Despite subjects with Dominantly-Inherited Alzheimer’s Disease (DIAD) represent less than 1% of all Alzheimer’s Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact ... -
Caracterización y Análisis de la Propagación de Ciberataques Jamming en Redes de Sensores Inalámbricos mediante Modelos Epidemiológicos
(UMA Editorial, 2022-11-03)La presente Tesis Doctoral aborda el análisis de ciberataques tipo jamming contra redes de sensores inalámbricos, aunando dos campos de investigación tan dispares como son la Ciberseguridad y la Epidemiología. Como hipótesis ... -
Causal Mechanisms of Dyslexia Via Connectogram Modeling of Phase Synchrony.
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Luque-Vilaseca, Juan Luis (2024)
This paper introduces connectogram modeling of electroencephalography (EEG) signals as a novel approach to represent causal relationships and information flow between different brain regions. Connectograms are graphical ... -
Complex network modelling of EEG band coupling in dyslexia: An exploratory analysis of auditory processing and diagnosis
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Giménez-de-la-Peña, Almudena; Formoso, Marco A. (Elsevier, 2022-01-05)
Complex network analysis has an increasing relevance in the study of neurological disorders, enhancing the knowledge of brain’s structural and functional organization. Network structure and efficiency reveal different ... -
Deep Residual Transfer Learning for Automatic Diabetic Retinopathy Grading.
Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Ramírez-Aguilar, Francisco Javier; Górriz-Sáez, Juan Manuel; Cruz, Ricardo (Elsevier, 2021-09-10)
Evaluation and diagnosis of retina pathology is usually made via the analysis of different image modalities that allow to explore its structure. The most popular retina image method is retinography, a technique that displays ... -
Desafío tecnológico: herramienta para trabajar y evaluar las competencias básicas y generales en los estudios de grado de la E.T.S.I. de Telecomunicación
Barbancho-Pérez, Ana María; Barbancho-Pérez, Isabel; Tardón-García, Lorenzo José; Peinado-Domínguez, Alberto; Munilla-Fajardo, Jorge; Ortiz-García, Andrés; Mata-Contreras, Francisco Javier[et al.] (2018-09-20)
This work presents the evolution of the five editions of the educational activity named “Technological Challenge” specially focused on the students at “Escuela Técnica Superior de Ingeniería de Telecomunicación” (ETSIT), ... -
Discriminative Sparse Features for Alzheimer’s Disease Diagnosis using multimodal image data.
Ortiz-García, Andrés; Lozano Cuadra, Federico; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco Javier; Martínez-Murcia, Francisco Jesús (Bentham Science, 2018-01-01)
Feature extraction in medical image processing still remains a challenge, especially in high-dimensionality datasets, where the expected number of available samples is considerably lower than the dimension of the feature ... -
Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform Tailored for Dyslexic Learners
Mateo-Trujillo, J. Ignacio; Castillo-Barnes, Diego; Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Peinado-Domínguez, Alberto; Luque-Vilaseca, Juan Luis; Sánchez-Gómez, Auxiliadora[et al.] (2024)
Dyslexia poses substantial literacy challenges with profound academic and psychosocial impacts for affected children. Though evidence affirms that early reading interventions can significantly improve outcomes, traditional ... -
Dyslexia Diagnosis by EEG Temporal and Spectral Descriptors: An Anomaly Detection Approach.
Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Luque-Vilaseca, Juan Luis; Giménez-de-la-Peña, Almudena; Morales-Ortega, Roberto; Ortega, Julio[et al.] (World Scientific, 2020-06-04)
Diagnosis of learning difficulties is a challenging goal. There are huge number of factors involved in the evaluation procedure that present high variance among the population with the same difficulty. Diagnosis is usually ... -
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia
Rodríguez-Rodríguez, Ignacio; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Formoso, Marco A.; Woo, Wai Lok (International Journal of Neural Systems, 2023)
While the brain connectivity network can inform the understanding and diagnosis of developmental dyslexia, its cause-effect relationships have not yet enough been examined. Employing electroencephalography signals and ... -
Empirical Functional PCA for 3D Image Feature Extraction Through Fractal Sampling.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Martínez-Murcia, Francisco Jesús; Górriz-Sáez, Juan Manuel; Ramírez-Aguilar, Francisco Javier (World Scientific, 2018-10-16)
Medical image classification is currently a challenging task that can be used to aid the diagnosis of different brain diseases. Thus, exploratory and discriminative analysis techniques aiming to obtain representative ... -
Enhancing Intensity Differences in EEG Cross-Frequency Coupling Maps for Dyslexia Detection.
Castillo-Barnes, Diego; Ortiz-García, Andrés; Stabile, Pietro; Gallego Molina, Nicolás Jesús; Figueiredo, Patrícia; Luque-Vilaseca, Juan Luis[et al.] (Springer Nature, 2024)
In this study, we introduced and applied a novel histogram transformation technique to enhance the interpretability and discriminative power of Cross-Frequency Coupling (CFC) maps derived from EEG signals for dyslexia ... -
Enhancing Multimodal Patterns in Neuroimaging by Siamese Neural Networks with Self-Attention Mechanism.
Arco, Juan E.; Ortiz-García, Andrés; Gallego-Molina, Nicolás J.; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2023-02-18)
The combination of different sources of information is currently one of the most relevant aspects in the diagnostic process of several diseases. In the field of neurological disorders, different imaging modalities providing ... -
Enhancing Neuronal Coupling Estimation by NIRS/EEG Integration.
Gallego-Molina, Nicolás J.; Ortiz-García, Andrés; Formoso, Marco A.; Martínez-Murcia, Francisco Jesús; Woo, Wai Lok (2024)
Neuroimaging techniques have had a major impact on medical science, allowing advances in the research of many neurological diseases and improving their diagnosis. In this context, multimodal neuroimaging approaches, based ... -
Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez, Javier; Górriz-Sáez, Juan Manuel; Ortiz-García, Andrés; Martínez-Murcia, Francisco Jesús; Segovia, Fermín; Salas-González, Diego; Castillo-Barnes, Diego; Álvarez-Illán, Ignacio; Puntonet, Carlos[et al.] (Elsevier, 2017-12-11)
Background: Alzheimer’s disease (AD) is the most common cause of dementia in the elderly and affects approximately 30 million individuals worldwide. Mild cognitive impairment (MCI) is very frequently a prodromal phase of ... -
Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease.
Ortiz-García, Andrés; Munilla-Fajardo, Jorge; Górriz-Sáez, Juan Manuel; Ramírez, Javier (World Scientific, 2016-08-01)
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer’s Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. ... -
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer’s disease progression.
Arco, Juan E.; Ortiz-García, Andrés; Castillo-Barnes, Diego; Górriz-Sáez, Juan Manuel; Ramírez, Javier (Elsevier, 2023-01-06)
The development of methods based on artificial intelligence for the classification of medical imaging is widespread. Given the high dimensionality of this type of images, it is imperative to use the information contained ...