Now showing items 1-6 of 6

    • A visual embedding for the unsupervised extraction of abstract semantics 

      García Gasulla, Dario; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Suzumura, Toyotaro; Chen, R (2017-05-01)
      Article
      Open Access
      Vector-space word representations obtained from neural network models have been shown to enable semantic operations based on vector arithmetic. In this paper, we explore the existence of similar information on vector ...
    • Collection, processing and analysis of heterogeneous data coming from Spanish hospitals in the context of COVID-19 

      Barroso Isidoro, Marta; Tormos, Adrián; Pérez Arnal, Raquel; Álvarez Napagao, Sergio; García Gasulla, Dario (IOS Press, 2021)
      Conference report
      Open Access
      The COVID-19 pandemic has already caused more than 150,000,000 cases worldwide. In Spain this has lead to a massive and simultaneous saturation of all sanitary regions. Coherently, the quick and consistent understanding ...
    • Large scale prediction of sick leave duration with nonlinear survival analysis algorithms 

      Béjar Alonso, Javier; Pérez Arnal, Raquel Leandra; Vilalta, Armand; Álvarez Napagao, Sergio; García Gasulla, Dario (2022-07-15)
      Article
      Restricted access - publisher's policy
      The management of sick leaves is a critical task that public and private health systems carry out. This enables the good care of sick workers and guarantees a safe return to their jobs. Most health systems enforce regulations ...
    • Size & shape matters: The need of HPC benchmarks of high resolution image training for deep learning 

      Parés Pont, Ferran; Megias Montsesinos, Pedro; García Gasulla, Dario; Garcia Gasulla, Marta; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (2021-03)
      Article
      Open Access
      One of the purposes of HPC benchmarks is to identify limitations and bottlenecks in hardware. This functionality is particularly influential when assessing performance on emerging tasks, the nature and requirements of which ...
    • The ethical use of high-performance computing and artificial intelligence: fighting COVID-19 at Barcelona Supercomputing Center 

      Cortés García, Claudio Ulises; Cortés Martínez, Atia; García Gasulla, Dario; Pérez Arnal, Raquel; Álvarez Napagao, Sergio; Álvarez Lacalle, Enrique (Springer Science and Business Media LLC, 2022-05)
      Article
      Open Access
      The COVID-19 pandemic has created an extraordinary medical, economic and humanitarian emergency. Artificial intelligence, in combination with other digital technologies, is being used as a tool to support the fight against ...
    • The impact of COVID-19 on flight networks 

      Suzumura, Toyotaro; Kanezashi, Hiroki; Dholakia, Mishal; Ishii, Euma; Álvarez Napagao, Sergio; Pérez Arnal, Raquel; García Gasulla, Dario (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      As COVID-19 transmissions spread worldwide, governments have announced and enforced travel restrictions to prevent further infections. Such restrictions have a direct effect on the volume of international flights among ...