• A Diversity-Accuracy Measure for Homogenous Ensemble Selection 

      Zouggar, Taleb; Adla, A (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2019)
      Several selection methods in the literature are essentially based on an evaluation function that determines whether a model M contributes positively to boost the performances of the whole ensemble. In this paper, we propose ...
    • A Generalized Wine Quality Prediction Framework by Evolutionary Algorithms 

      Hui-Ye Chiu, Terry; Wu, Chienwen; Chen, Chun-Hao (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2021)
      Wine is an exciting and complex product with distinctive qualities that makes it different from other manufactured products. Therefore, the testing approach to determine the quality of wine is complex and diverse. Several ...
    • Mining Pre-Grade Academic and Demographic Data to Predict University Dropout 

      Martínez Navarro, Álvaro; Verdú, Elena (1); Moreno-Ger, Pablo (1) (Springer Science and Business Media Deutschland GmbH, 2021)
      Digital transformation is enabling institutions to enhance their processes by using data and technology. In education, digital transformation allows improving the learning experience as well as the institution processes. ...
    • Mining Web-based Educational Systems to Predict Student Learning Achievements 

      del Campo-Ávila, José; Conejo, Ricardo; Triguero, Francisco; Morales-Bueno, Rafael (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2015)
      Educational Data Mining (EDM) is getting great importance as a new interdisciplinary research field related to some other areas. It is directly connected with Web-based Educational Systems (WBES) and Data Mining (DM, a ...
    • Sport Practice With Friends And Perceived Physical Competence As Predictors Of Physical Activity In Adolescents 

      Alvariñas-villaverde, M; Giménez de Ory, Elena (1); Toja-reboredo, B; González-valeiro, M (Universidad de Alicante, 2021)
      Understanding which factors influence participation in physical activity is essential for the development and improvement of public health intervention. The aim of this study was to provide an explanatory prediction model ...
    • 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 ...