Now showing items 1-5 of 5

    • Applying generative models and transfer learning to physiological data classification 

      Núñez Rodríguez, José Fernando; Arjona Martínez, Jamie; Tormos Llorente, Adrián; Garcia Gasulla, Dario; Béjar Alonso, Javier (IOS Press, 2023-11-01)
      Conference report
      Open Access
      The scarcity and imbalance of datasets for training deep learning models in a specific task is a common problem. This is especially true in the physiological domain where many applications use complex data collection ...
    • Effects of intubation timing in patients with COVID-19 throughout the four waves of the pandemic: a matched analysis 

      Riera del Brío, Jordi; Barbeta Viñas, Enric; Tormos Llorente, Adrián; Mellado Artigas, Ricard; Ceccato, Adrián; Motos Galera, Ana; Fernández Barat, Laia; Ferrer Roca, Ricard; Garcia Gasulla, Dario; Peñuelas Rodríguez, Oscar (2023)
      Article
      Open Access
      Background: The primary aim of our study was to investigate the association between intubation timing and hospital mortality in critically ill patients with COVID-19-associated respiratory failure. We also analysed both ...
    • Explainable agents adapt to human behaviour 

      Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Domènech Vila, Marc; Gnatyshak, Dmitry; Álvarez Napagao, Sergio; Vázquez Salceda, Javier (2023)
      Conference report
      Open Access
      When integrating artificial agents into physical or digital environments that are shared with humans, agents are often equipped with opaque Machine Learning methods to enable adapting their behaviour to dynamic human needs ...
    • Explaining the behaviour of reinforcement learning agents in a multi-agent cooperative environment using policy graphs 

      Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Giménez Ábalos, Víctor; Álvarez Napagao, Sergio (2024-01-31)
      Article
      Open Access
      The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last few years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many use cases, it ...
    • Testing reinforcement learning explainability methods in a multi-agent cooperative environment 

      Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Álvarez Napagao, Sergio (IOS Press, 2022)
      Conference report
      Open Access
      The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not ...