Publicaciones en colaboración con investigadores/as de Universidad de Mondragón/Mondragon Unibertsitatea (18)

2024

  1. Comparative assessment of synthetic time series generation approaches in healthcare: leveraging patient metadata for accurate data synthesis

    BMC Medical Informatics and Decision Making, Vol. 24, Núm. 1

2023

  1. Effect of incorporating metadata to the generation of synthetic time series in a healthcare context

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  2. Synthetic Tabular Data Evaluation in the Health Domain Covering Resemblance, Utility, and Privacy Dimensions

    Methods of Information in Medicine, Vol. 62, Núm. 2, pp. E19-E38

2022

  1. Comparative Evaluation of Oversampling Techniques for Balancing Metabolic Profiles

    ACM International Conference Proceeding Series

  2. Deep learning applied to retinal OCT images to differentiate Parkinson’s disease patients from healthy controls

    2022 International Congress on Movement Disorders

  3. Estimation of the epidemiology of dementia and associated neuropsychiatric symptoms by applying machine learning to real-world data

    Revista de Psiquiatria y Salud Mental, Vol. 15, Núm. 3, pp. 167-175

  4. Incorporation of Synthetic Data Generation Techniques within a Controlled Data Processing Workflow in the Health and Wellbeing Domain

    Electronics (Switzerland), Vol. 11, Núm. 5

  5. Spatial characterization of the effect of age and sex on macular layer thicknesses and foveal pit morphology

    PLoS ONE, Vol. 17, Núm. 12 December

  6. Synthetic Subject Generation with Coupled Coherent Time Series Data †

    Engineering Proceedings, Vol. 18, Núm. 1

  7. Synthetic data generation for tabular health records: A systematic review

    Neurocomputing

2021

  1. Monitorización longitudinal de la compliancia pulmonar basada en la TIE en pacientes infectados por COVID-19

    XXXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica. Libro de actas

2020

  1. Validation of Random Forest Machine Learning Models to Predict Dementia-Related Neuropsychiatric Symptoms in Real-World Data

    Journal of Alzheimer's Disease, Vol. 77, Núm. 2, pp. 855-864

2019

  1. Aging modulates the resting brain after a memory task: A validation study from multivariate models

    Entropy, Vol. 21, Núm. 4

2018

  1. Automatic assessment of functional health decline in older adults based on smart home data

    Journal of Biomedical Informatics, Vol. 81, pp. 119-130

  2. Using smart offices to predict occupational stress

    International Journal of Industrial Ergonomics, Vol. 67, pp. 13-26

2017

  1. Influencia de la frecuencia respiratoria inducida en los valores HRV

    XXXV Congreso anual de la Sociedad Española de Ingeniería Biomédica: Libro de actas

2016

  1. On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

    Artificial Intelligence in Medicine

  2. Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review

    Journal of Biomedical Informatics, Vol. 59, pp. 49-75