Mostrando ítems 21-28 de 28

    • Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning 

      Cristiano Prati, Ronaldo; Said-Hung, Elías Manuel (1) (AI and Society, 01/09/2019)
      Through the application of machine learning techniques, this paper aims to estimate the importance of messages with ideological load during the elections held in Spain on May 24th, 2015 posted by Twitter’s users, as well ...
    • Prediction of Uptake of Carbamazepine and Diclofenac in Reclaimed Water-Irrigated Lettuces by Machine Learning Techniques 

      Martínez-España, Raquel; Bueno-Crespo, Andrés; González García, Mariano (1); Fernández-López, Carmen (Agriculture and environment perspectives in intelligent systems, 2019)
      Currently, due to the global shortage of water, the use of reclaimed water from the Wastewater Treatment Plants (WWTPs) for the irrigation of crops is an alternative in areas with water scarcity. However, the use of this ...
    • Real-World Data and Machine Learning to Predict Cardiac Amyloidosis 

      García-García, Elena; González-Romero, Gracia María; Martín-Pérez, Encarna M.; Zapata Cornejo, Enrique de Dios; Escobar-Aguilar, Gema; Cárdenas Bonnet, Marlon Félix (1) (International journal of environmental research and public health, 2021)
      (1) Background: Cardiac amyloidosis or “stiff heart syndrome” is a rare condition that occurs when amyloid deposits occupy the heart muscle. Many patients suffer from it and fail to receive a timely diagnosis mainly ...
    • Review: machine learning techniques applied to cybersecurity 

      Martínez Torres, Javier (1); Iglesias Comesaña, Carla; García-Nieto, Paulino J. (International Journal of Machine Learning and Cybernetics, 10/2019)
      Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
    • Supporting academic decision making at higher educational institutions using machine learning-based algorithms 

      Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González-Crespo, Rubén (1) (Soft Computing, 2018)
      Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
    • Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies 

      Conejero Manzano, José María; Preciado, Juan Carlos; Fernández-García, Antonio Jesús (1); Prieto, Álvaro; Rodriguez-Echeverría, Roberto (Expert systems with applications, 2021)
      Education and employment are key aspects of a country's well-being. Governments expend valuable resources on designing education plans and employment programs. These two aspects are usually analysed separately, although, ...
    • Usage of machine learning for strategic decision making at Higher Educational Institutions 

      Nieto, Yuri; García-Díaz, Vicente; Montenegro, Carlos Enrique; González, Claudio Camilo; González-Crespo, Rubén (1) (IEEE Access, 2019)
      Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...
    • Vaccine Hesitancy on Social Media: Sentiment Analysis from June 2011 to April 2019 

      Piedrahita-Valdés, Hilary; Piedrahita Castillo, Diego (1); Bermejo-Higuera, Javier (1); Guillem-Saiz, Patricia; Bermejo Higuera, Juan Ramón (1); Guillem-Saiz, Javier; Sicilia, Juan Antonio (1); Machío-Regidor, Francisco (1) (Vaccines, 01/2021)
      Vaccine hesitancy was one of the ten major threats to global health in 2019, according to the World Health Organisation. Nowadays, social media has an important role in the spread of information, misinformation, and ...