Publications by the researcher in collaboration with Jorge Pérez Aracil (40)

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. Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review

    Theoretical and Applied Climatology, Vol. 155, Núm. 1, pp. 1-44

  5. Autoencoder Framework for General Forecasting

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

  6. 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

  7. Data Augmentation Techniques for Extreme Wind Prediction Improvement

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

  8. Energy Flux Prediction Using an Ordinal Soft Labelling Strategy

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

  9. Evolving interpretable decision trees for reinforcement learning

    Artificial Intelligence, Vol. 327

  10. Improving the prediction of extreme wind speed events with generative data augmentation techniques

    Renewable Energy, Vol. 221

  11. Interpretable extreme wind speed prediction with concept bottleneck models

    Renewable Energy, Vol. 231

  12. Long-term temperature prediction with hybrid autoencoder algorithms

    Applied Computing and Geosciences, Vol. 23

  13. Machine Learning Health Estimation for Lithium-Ion Batteries Under Varied Conditions

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

  14. Machine Learning as Applied to Shape Parameterization of Submerged Arch Structures

    Lecture Notes in Computer Science. . International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024 (10th. 2024. Portugal)

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

    Results in Engineering, Vol. 22

  16. Medium- and Long-Term Wind Speed Prediction Using the Multi-task Learning Paradigm

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

  17. 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)

  18. 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)

  19. TensorCRO: A TensorFlow-based implementation of a multi-method ensemble for optimization

    Expert Systems

2023

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

    Journal of Wind Engineering and Industrial Aerodynamics, Vol. 240