Publicacions en què col·labora amb Sancho Salcedo Sanz (15)

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. An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

    Computer Methods and Programs in Biomedicine, Vol. 245

  3. An iterative neural network approach applied to human-induced force reconstruction using a non-linear electrodynamic shaker

    Heliyon, Vol. 10, Núm. 12

  4. Autoencoder Framework for General Forecasting

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

  5. Bike sharing and cable car demand forecasting using machine learning and deep learning multivariate time series approaches[Formula presented]

    Expert Systems with Applications, Vol. 238

  6. Long-term temperature prediction with hybrid autoencoder algorithms

    Applied Computing and Geosciences, Vol. 23

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

    Results in Engineering, Vol. 22

  8. Prediction of Extreme Wave Heights via a Fuzzy-Based Cascade Ensemble Model

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

2023

  1. A fuzzy-based cascade ensemble model for improving extreme wind speeds prediction

    Journal of Wind Engineering and Industrial Aerodynamics, Vol. 240

  2. Accurate long-term air temperature prediction with Machine Learning models and data reduction techniques

    Applied Soft Computing, Vol. 136

  3. Deep learning ensembles for accurate fog-related low-visibility events forecasting

    Neurocomputing, Vol. 549

  4. Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms

    Atmospheric Research, Vol. 295

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

    Atmosphere, Vol. 14, Núm. 3

  6. Human-induced force reconstruction using a non-linear electrodynamic shaker applying an iterative neural network algorithm

    Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol. 71, Núm. 3

2022

  1. A hierarchical classification/regression algorithm for improving extreme wind speed events prediction

    Renewable Energy, Vol. 201, pp. 157-178