Mostrando ítems 81-85 de 193

    • Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)
      [Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ...
    • A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (MDPI AG, 2020-04-13)
      [Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
    • Classical Music Prediction and Composition by Means of Variational Autoencoders 

      Rivero, Daniel; Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Ezquerra, Noberto; Pazos, A. (MDPI AG, 2020-04-27)
      [Abstract] This paper proposes a new model for music prediction based on Variational Autoencoders (VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent ...
    • OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine 

      López-Cortés, Andrés; Paz-y-Miño, César; Guerrero, Santiago; Cabrera-Andrade, Alejandro; Munteanu, Cristian-Robert; González-Díaz, Humberto; Pazos, A.; Pérez-Castillo, Yunierkis; Tejera, Eduardo; Barigye, Stephen J. (Springer Nature, 2020-03-24)
      [Abstract] Breast cancer (BC) is the leading cause of cancer-related death among women and the most commonly diagnosed cancer worldwide. Although in recent years large-scale efforts have focused on identifying new therapeutic ...
    • Net-Net AutoML Selection of Artificial Neural Network Topology for Brain Connectome Prediction 

      Barreiro, Enrique; Munteanu, Cristian-Robert; Gestal, M.; Rabuñal, Juan R.; Pazos, A.; González-Díaz, Humberto; Dorado, Julián (MDPI, 2020-02-14)
      [Abstract] Brain Connectome Networks (BCNs) are defined by brain cortex regions (nodes) interacting with others by electrophysiological co-activation (edges). The experimental prediction of new interactions in BCNs ...