Publications dans lesquelles il/elle collabore avec DIEGO GARCIA PEREZ (25)

2024

  1. Analysis of DNA methylation patterns in cancer samples using SOM

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024

  2. Exploring deep fully convolutional neural networks for surface defect detection in complex geometries

    International Journal of Advanced Manufacturing Technology, Vol. 134, Núm. 1-2, pp. 97-111

  3. Interactive Machine Learning-Powered Dashboard for Energy Analytics in Residential Buildings

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024

  4. Machine Learning for Inverter-Fed Motors Monitoring and Fault Detection: An Overview

    IEEE Access, Vol. 12, pp. 27167-27179

  5. Trustworthiness Score for Echo State Networks by Analysis of the Reservoir Dynamics

    European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2024

2023

  1. Conditioned Fully Convolutional Denoising Autoencoder for Energy Disaggregation

    IFIP Advances in Information and Communication Technology

  2. Exploratory Analysis of the Gene Expression Matrix Based on Dual Conditional Dimensionality Reduction

    IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 6, pp. 3083-3092

  3. Principal Component Modes of Reservoir Dynamics in Reservoir Computing

    IFIP Advances in Information and Communication Technology

  4. Visual Analytics Tools for the Study of Complex Problems in Engineering and Biomedicine

    IFIP Advances in Information and Communication Technology

  5. Visual analytics identifies key miRNAs for differentiating peripancreatic paraganglioma and pancreatic neuroendocrine tumors

    Frontiers in Endocrinology, Vol. 14

  6. Visualizing Cell Motility Patterns from Time Lapse Videos with Interactive 2D Maps Generated with Deep Autoencoders

    IFIP Advances in Information and Communication Technology

2022

  1. Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

    Reliability Engineering and System Safety, Vol. 224

  2. Interactive dual projections for gene expression analysis

    ESANN 2022 proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  3. Interactive visual analytics for medical data: application to COVID-19 clinical information during the first wave

    ESANN 2022 proceedings. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  4. Modelado de series temporales mediante echo state networks para aplicaciones de analítica visual

    Simposio CEA de Control Inteligente (17. 2022. León): Libro de actas

  5. Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders

    Computers and Electrical Engineering, Vol. 101

2021

  1. Fully-Convolutional Denoising Auto-Encoders for NILM in Large Non-Residential Buildings

    IEEE Transactions on Smart Grid, Vol. 12, Núm. 3, pp. 2722-2731

  2. Morphing projections: a new visual technique for fast and interactive large-scale analysis of biomedical datasets

    Bioinformatics (Oxford, England), Vol. 37, Núm. 11, pp. 1571-1580

2019

  1. Análisis de vibraciones en una estructura utilizando echo state networks

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019

  2. Diseño de una maqueta de bajo coste para SHM

    XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019