Publicaciones en las que colabora con Gualberto Asencio Cortés (7)

2024

  1. Explaining deep learning models for ozone pollution prediction via embedded feature selection

    Applied Soft Computing, Vol. 157

2023

  1. A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

    Proceedings of the ACM Symposium on Applied Computing

  2. A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting

    Journal of Big Data, Vol. 10, Núm. 1

  3. Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

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

  4. Explaining Learned Patterns in Deep Learning by Association Rules Mining

    Lecture Notes in Networks and Systems

  5. Feature-Aware Drop Layer (FADL): A Nonparametric Neural Network Layer for Feature Selection

    Lecture Notes in Networks and Systems

  6. PHILNet: A novel efficient approach for time series forecasting using deep learning

    Information Sciences, Vol. 632, pp. 815-832