• An Integrated Framework for COVID-19 Classification Based on Ensembles of Deep Features and Entropy Coded GLEO Feature Selection 

      Fayyaz, Abdul Muiz; Raza, Mudassar; Sharif, Muhammad; Shah, Jamal Hussain; Kadry, Seifedine; Sanjuán Martínez, Óscar (International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2023)
      COVID-19 is a challenging worldwide pandemic disease nowadays that spreads from person to person in a very fast manner. It is necessary to develop an automated technique for COVID-19 identification. This work investigates ...
    • Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy 

      Morente-Molinera, Juan Antonio ; Mezei, Jozsef; Carlsson, Christer; Herrera-Viedma, Enrique (IEEE Transactions on Fuzzy Systems, 10/2017)
      Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
    • Liderazgo en la empresa online neguentrópica 

      Carr-Chellman, Ali; Freeman Jr., Sydney; Kitchel, Allen (Revista Española de Pedagogía, 09/2019)
      Este artículo trata el fenómeno opuesto a la degradación entrópica, tal como se entiende en las ciencias físicas y lo aplica, de manera metafórica, a las empresas online. Las conductas neguentrópicas son aquellas que aportan ...