Publications by the researcher in collaboration with Manuel Jesús Jiménez Navarro (10)

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

2022

  1. DIAFAN-TL: An instance weighting-based transfer learning algorithm with application to phenology forecasting

    Knowledge-Based Systems, Vol. 254

2021

  1. A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery

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

  2. A Model-Based Deep Transfer Learning Algorithm for Phenology Forecasting Using Satellite Imagery

    Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings