Publicacions en què col·labora amb Jorge Pérez Aracil (8)

2024

  1. A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic

    Knowledge-Based Systems, Vol. 291

  2. Autoencoder-based flow-analogue probabilistic reconstruction of heat waves from pressure fields

    Annals of the New York Academy of Sciences

  3. Long-term temperature prediction with hybrid autoencoder algorithms

    Applied Computing and Geosciences, Vol. 23

  4. Machine learning as alternative strategy for the numerical prediction of the shear response in reinforced and prestressed concrete beams

    Results in Engineering, Vol. 22

  5. Multivariate-Autoencoder Flow-Analogue Method for Heat Waves Reconstruction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2023

  1. Extreme Low-Visibility Events Prediction Based on Inductive and Evolutionary Decision Rules: An Explicability-Based Approach

    Atmosphere, Vol. 14, Núm. 3

  2. Improving numerical methods for the steel yield strain calculation in reinforced concrete members with Machine Learning algorithms

    Expert Systems with Applications, Vol. 225

  3. New Probabilistic, Dynamic Multi-Method Ensembles for Optimization Based on the CRO-SL

    Mathematics, Vol. 11, Núm. 7