Blar i forfatter "Ruiz, Cristina Soguero"

Viser treff 1-2 av 2

    • A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs 

      Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Jenssen, Robert (Chapter; Bokkapittel, 2020)
      A large fraction of the electronic health records (EHRs) consists of clinical measurements collected over time, such as lab tests and vital signs, which provide important information about a patient’s health status. These sequences of clinical measurements are naturally represented as time series, characterized by multiple variables and large amounts of missing data, which complicate the analysis. ...

    • Time series cluster kernels to exploit informative missingness and incomplete label information 

      Mikalsen, Karl Øyvind; Ruiz, Cristina Soguero; Bianchi, Filippo Maria; Revhaug, Arthur; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-20)
      The time series cluster kernel (TCK) provides a powerful tool for analysing multivariate time series subject to missing data. TCK is designed using an ensemble learning approach in which Bayesian mixture models form the base models. Because of the Bayesian approach, TCK can naturally deal with missing values without resorting to imputation and the ensemble strategy ensures robustness to hyperparameters, ...