• Academic performance predicting model based on machine learning and keller's motivation measure 

    Laurens-Arredondo, Luis; Hernández-García, Ruber (2022)
    This article investigates a model for predicting the academic performance of university students using Machine Learning techniques based on the level of motivation achieved with the implementation of the ARCS instructional ...

  • Detection of epileptic seizures by analysis of electroencephalogram based on Wavelet transform 

    Urbina Fredes, Sebastián; Dehghan Firoozabadi, Ali; Adasme, Pablo; Zabala-Blanco, David; Palacios Játiva, Pablo; Azurdia-Meza, Cesar A. (2023)
    In recent years, some novel methods have been developed for the detection of diseases based on biomedical signals. In this article, a method for the automated detection of epilepsy seizures is presented by analyzing ...

  • Evaluation of extreme learning machines for detecting heart diseases 

    Martínez, Diego; Zabala-Blanco, David; Ahumada-Garcia, Roberto; Soto, Ismael; Dehghan Firoozabadi, Ali; Palacios Játiva, Pablo (2023)
    Currently, cardiovascular diseases are the leading cause of human death according to the World Health Organization. Their prediction allows doctors to indicate preventive measures to their patients and perform procedures ...

  • Extreme learning machine for mass spectrometry data analysis 

    Ulloa Orellana, Mario; López-Cortès, Xaviera A.; Zabala-Blanco, David; Palacios Játiva, Pablo; Datta, Jayanta (2022)
    In this work, we introduce the use of a weighted extreme learning machine (ELM) to give an automated predictive value to mass spectrometry data. In specific, the data obtained with Matrix-Assisted Laser DesorptioMonization-Time ...