JUAN CARLOS TRUJILLO MONDEJAR-rekin lankidetzan egindako argitalpenak (7)

2024

  1. An extension of iStar for Machine Learning requirements by following the PRISE methodology

    Computer Standards and Interfaces, Vol. 88

2023

  1. Developing an interpretable machine learning model for predicting COVID-19 patients deteriorating prior to intensive care unit admission using laboratory markers

    Heliyon, Vol. 9, Núm. 12

2022

  1. Fault detection and diagnosis for industrial processes based on clustering and autoencoders: a case of gas turbines

    International Journal of Machine Learning and Cybernetics, Vol. 13, Núm. 10, pp. 3113-3129

  2. Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients

    Scientific reports, Vol. 12, Núm. 1, pp. 5723

  3. Use of a i*extension for Machine Learning: a real case study

    CEUR Workshop Proceedings

2021

  1. Applying i∗ in Conceptual Modelling in Machine Learning

    CEUR Workshop Proceedings

2020

  1. Solar energy prediction model based on artificial neural networks and open data

    Sustainability (Switzerland), Vol. 12, Núm. 17