• Application of logistic regression models in observational methodology: game formats in grassroots football in initiation into football 

      Lapresa Ajamil, Daniel; Arana, Javier ; Anguera, María Teresa; Pérez-Castellanos, Juan Ignacio; Amatria, Mario (Anales de Psicología, 01/2016)
      This study shows how simple and multiple logistic regression can be used in observational methodology and more specifically, in the fields of physical activity and sport. We demonstrate this in a study designed to determine ...
    • Fútbol: efectos de una unidad didáctica en la iniciación temprana 

      Lapresa Ajamil, Daniel; Arana, Javier ; Amatria, Mario; Fernández Alejandro, Francisco Javier; Anguera, María Teresa (Apunts. Educacion Fisica y Deportes, 2017)
      La iniciación temprana en el fútbol, que ya es habitual, ha justificado propuestas de adaptación que pretenden facilitar el primer contacto del niño con este deporte. Los especialistas coinciden en señalar al fútbol 3 ...
    • NSL-BP: A Meta Classifier Model Based Prediction of Amazon Product Reviews 

      Kumar, Pravin; Dayal, Mohit; Khari, Manju; Fenza, Giuseppe; Gallo, Mariacristina (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2021)
      In machine learning, the product rating prediction based on the semantic analysis of the consumers' reviews is a relevant topic. Amazon is one of the most popular online retailers, with millions of customers purchasing and ...
    • Optimization of Game Formats in U-10 Soccer Using Logistic Regression Analysis 

      Amatria, Mario; Lapresa Ajamil, Daniel; Arana, Javier ; Anguera, María Teresa; Garzón, Belén (Journal of Human Kinetics, 12/2016)
      Small-sided games provide young soccer players with better opportunities to develop their skills and progress as individual and team players. There is, however, little evidence on the effectiveness of different game formats ...