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

   Annals of the New York Academy of Sciences

7. 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

8. 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)

9. 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)

10. Evolving interpretable decision trees for reinforcement learning

    Artificial Intelligence, Vol. 327

11. Fuzzy-based ensemble methodology for accurate long-term prediction and interpretation of extreme significant wave height events

    Applied Ocean Research, Vol. 153

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

    Renewable Energy, Vol. 221

13. Interpretable extreme wind speed prediction with concept bottleneck models

    Renewable Energy, Vol. 231

14. Long-term temperature prediction with hybrid autoencoder algorithms

    Applied Computing and Geosciences, Vol. 23

15. 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)

16. 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)

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

    Results in Engineering, Vol. 22

18. 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)

19. 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)

20. 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)