Browsing by Author "c7c48142-2c17-4e74-91ef-2a4a044e3c25"

Now showing items 1-3 of 3

    • 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 ...
    • Findings when converting a summative evaluation instrument to a formative one through collaborative learning ... 
      Zurita Alarcón, Gustavo; Baloian Tataryan, Nelson; Jerez, Óscar; Peñafiel, Sergio; Pino Urtubia, José (Springer, 2018)
      Although illiteracy has been in constant decline over the last decades,there are too many reports about people having problems to identify the mainideas contained in texts they read. Reading comprehension is essential for ...
    • 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 ...