• 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 ...
    • Day-Ahead Price Forecasting for the Spanish Electricity Market 

      Díaz, Julia; Romero, Álvaro; Dorronsoro, José Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2019)
      During the last years, electrical systems around the world and in particular the Spanish electric sector have undergone great changes with the focus of turning them into more liberalized and competitive markets. For this ...
    • Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning 

      Vásquez-Morales, Gabriel R.; Martínez-Monterrubio, Sergio M.; Moreno-Ger, Pablo (1); Recio-García, Juan A. (IEEE Access, 2019)
      This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ...
    • Proposing a Machine Learning Approach to Analyze and Predict Employment and its Factors 

      García-Peñalvo, Francisco José; Cruz-Benito, Juan; Martín-González, Martín; Vázquez-Ingelmo, Andrea; Sánchez-Prieto, José Carlos; Therón, Roberto (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2018)
      This paper presents an original study with the aim of propose and test a machine learning approach to research about employability and employment. To understand how the graduates get employed, researchers propose to build ...
    • The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest 

      Cadahia Delgado, Pedro; Congregado, Emilio; Golpe, Antonio A.; Vides, José Carlos (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 03/2022)
      Most representative decision-tree ensemble methods have been used to examine the variable importance of Treasury term spreads to predict US economic recessions with a balance of generating rules for US economic recession ...
    • Two-Stage Human Activity Recognition Using 2D-ConvNet 

      Verma, Kamal Kant; Singh, Brij Mohan; Mandoria, H L; Chauhan, Prachi (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 06/2020)
      There is huge requirement of continuous intelligent monitoring system for human activity recognition in various domains like public places, automated teller machines or healthcare sector. Increasing demand of automatic ...
    • 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 ...