• Determinación automática de los límites de Atterberg con machine learning 

      Rosas, David Antonio; Burgos, Daniel; Branch, John W.; Corbi, Alberto (DYNA, 2022)
      En este estudio, determinamos el límite líquido (𝑊𝑙), el índice de plasticidad (PI) y el límite plástico (𝑊𝑝) de suelos naturales finos con ayuda de machine-learning y métodos estadísticos. Ello permite localizarlos ...
    • Improvement in educational performance through wearable-based flow predictive models 

      Rosas, David Antonio; Burgos, Daniel; Padilla-Zea, Natalia (Proceedings - JICV 2022: 12th International Conference on Virtual Campus, 2022)
      Flow Theory has been used to study motivation in educational activities. However, few studies use physiological data to uncover unknown aspects of said data in any context, and isolated individuals are involved as well. ...
    • Validated Questionnaires in Flow Theory: A Systematic Review 

      Rosas, David Antonio; Padilla-Zea, Natalia; Burgos, Daniel (Electronics, 2023)
      Psychological flow has been measured in several areas to analyse to what extent users are engaged in particular tasks, and is relevant in the design of products like software, videogames, and eLearning courses. Although ...