Browsing by Subject "Data models"

Now showing items 1-3 of 3

    • Modeling neonatal EEG using multi-output Gaussian processes 
      Caro Tagle, Víctor; Ho Ku, Jou-Hui; Witting Enríquez, Scarlet; Tobar Henríquez, Felipe (IEEE, 2022)
      Neonatal seizures are sudden events in brain activity with detrimental effects in neurological functions usually related to epileptic fits. Though neonatal seizures can be identified from electroencephalography (EEG), this ...
    • Predicting stroke risk with an interpretable classifier 
      Peñafiel, Sergio; Baloian Tataryan, Nelson; Sanson, Horacio; Pino Urtubia, José (IEEE-Inst Electrical Electronics Engineers, 2021)
      Predicting an individual's risk of getting a stroke has been a research subject for many authors worldwide since it is a frequent illness and there is strong evidence that early awareness of having that risk can be bene ...
    • Review on fuzzy and neural prediction interval modelling for nonlinear dynamical systems 
      Cartagena Villalobos, Óscar Andrés; Parra Flores, Sebastián Alfonso Iván; Muñoz Carpintero, Diego; Marín, Luis G.; Sáez Hueichapan, Doris Andrea (IEEE, 2021)
      The existing uncertainties during the operation of processes could strongly affect the performance of forecasting systems, control strategies and fault detection systems when they are not considered in the design. Because ...