ListarIC - Artículos por tema "Deep learning"
Mostrando ítems 1-7 de 7
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A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute
Imran Saleem, Muhammad; Siddiqui, Atif Ahmed; Noor, Shaheena; Luque-Nieto, Miguel Ángel
(IOAP-MDPI, 2022-12-29)
first_pagesettingsOrder Article Reprints Open AccessArticle A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute by Muhammad Imran Saleem 1,2,*ORCID,Atif Siddiqui 3ORCID,Shaheena Noor ... -
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 ... -
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 ... -
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 ... -
Studying the Manifold Structure of Alzheimer’s Disease: A Deep Learning Approach Using Convolutional Autoencoders
Martínez-Murcia, Francisco Jesús; Ortiz-García, Andrés; Górriz-Sáez, Juan Manuel; Ramírez, Javier; Castillo-Barnes, Diego (IEEE, 2020-01-01)
Many classical machine learning techniques have been used to explore Alzheimer’s Disease, evolving from image decomposition techniques such as Principal Component Analysis towards higher-complexity, non-linear decomposition ... -
Tiled Sparse Coding in Eigenspaces for Image Classification.
Arco, Juan E.; Ortiz-García, Andrés; Ramírez, Javier; Zhang, Yu-Dong; Górriz-Sáez, Juan Manuel (World Scientific, 2021-12-30)
The automation in the diagnosis of medical images is currently a challenging task. The use of Computer Aided Diagnosis (CAD) systems can be a powerful tool for clinicians, especially in situations when hospitals are ... -
Using XAI in the Clock Drawing Test to reveal the cognitive impairment pattern.
Jiménez-Mesa, Carmen; Arco, Juan E.; Valentí-Soler, Meritxell; Frades-Payo, Belén; Zea-Sevilla, María A.; Ortiz-García, Andrés; Ávila-Villanueva, Marina; Castillo-Barnes, Diego; Ramírez, Javier; Del-Ser-Quijano, Teodoro; Carnero Pardo, Cristóbal; Górriz-Sáez, Juan Manuel[et al.] (World Scientific, 2023-02-16)
he prevalence of dementia is currently increasing worldwide. This syndrome produces a deteriorationin cognitive function that cannot be reverted. However, an early diagnosis can be crucial for slowing itsprogress. The Clock ...