Browsing by Author "d78dd12d-bad8-4e8c-9044-febd15525aa7"

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    • Applying Dempster–Shafer theory for developing a flexible, accurate and interpretable classifier 
      Peñafiel, Sergio; Baloian Tataryan, Nelson; Sanson, Horacio; Pino Urtubia, José (Elsevier, 2020)
      Two approaches have traditionally been identified for developing artificial intelligence systems supporting decision-making: Machine Learning, which applies general techniques based on statistical analysis and optimization ...
    • 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 ...