Universidad Rey Juan Carlos-ko ikertzaileekin lankidetzan egindako argitalpenak (4)

2024

  1. 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

2023

  1. Deep learning for understanding multilabel imbalanced Chest X-ray datasets

    Future Generation Computer Systems, Vol. 144, pp. 291-306

2022

  1. Persistence in complex systems

    Physics Reports, Vol. 957, pp. 1-73

  2. Randomization-based machine learning in renewable energy prediction problems: Critical literature review, new results and perspectives

    Applied Soft Computing, Vol. 118