• A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus 

      Rodríguez Rodríguez, Ignacio; Rodríguez, José-Víctor; Woo, Wai Lok; Wei, Bo; Pardo-Quiles, Domingo-Javier (IOAP-MPDI, 2021-02-16)
      Type 1 diabetes mellitus (DM1) is a metabolic disease derived from falls in pancreatic insulin production resulting in chronic hyperglycemia. DM1 subjects usually have to undertake a number of assessments of blood glucose ...
    • Identificación de la relevancia de métricas celulares en clústeres no supervisados 

      Villegas, Javier; Fortes-Rodriguez, Sergio; Cantizani Estepa, Juan; Rasines Suárez, Javier; Martín Cuerdo, Raúl; [et al.] (2022-09)
      The increase in the size and complexity of the cellular network is progressively complicating the operation and maintenance activities, as well as rising its operation cost. The growing complexity of the networks makes ...
    • Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia 

      Rodríguez Rodríguez, Ignacio; Ortiz-Garcia, Andres; Formoso, Marco A.; Gallego-Molina, Nicolás J.; Luque, J.L. (2022)
      Methods like Electroencephalography (EEG) and magnetoencephalogram (MEG) record brain oscillations and provide an invaluable insight into healthy and pathological brain function. These signals are helpful to study and ...
    • Time-dependent KPI generation based on Copula 

      Luo Chen, Hao Qiang; Álvarez-Merino, Carlos Simón; Khatib, Emil J.; Barco-Moreno, Raquel (2020-09-18)
      New generations of mobile networks are developed to serve the increasing user and devices connected to the networks. However, the management of these networks has a need of automation, due to the also growing complexity. ...