Publications

2023

    Close to submit

    • Artificial neural networks applications and challenges in the food industry.
    • Machine learning methods to model the growth and product formation by Lactococcus lactis CECT 539 in fed-batch cultures.

    In progress

    • Machine learning models based on Quantitative Structure−Activity Relationship to predict ready biodegradability of chemicals (TFG).
    • Artificial intelligence models applied to the food industry (drying process, weight loss, shear resistance, moisture ratio, colour) (TFG).
    • Solvation parameter model using machine learning models.
    • Modelling the Extract Yield and Total Phenolic Content in Olea europea leaves (INVESTIGO).

    Citations in 2023

    h index

    2022

    2021

    2020

     

    2019 and earlier

    Citations until 2022