• 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 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 ...
    • Predictive Model for Taking Decision to Prevent University Dropout 

      Urbina-Nájera, Argelia B.; Méndez-Ortega, Luis A. (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2022)
      Dropout is an educational phenomenon studied for decades due to the diversity of its causes, whose effects fall on society's development. This document presents an experimental study to obtain a predictive model that allows ...