Publications by the researcher in collaboration with Francisco Martínez Álvarez (34)

2024

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

    Applied Soft Computing, Vol. 157

  2. Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

    Future Generation Computer Systems, Vol. 154, pp. 397-412

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. FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

    SoftwareX, Vol. 23

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

    Lecture Notes in Networks and Systems

  7. Olive Oil Fly Population Pest Forecasting Using Explainable Deep Learning

    Lecture Notes in Networks and Systems

  8. 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

  2. Olive Phenology Forecasting Using Information Fusion-Based Imbalanced Preprocessing and Automated Deep Learning

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

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

  3. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    Advances in Intelligent Systems and Computing

  4. A Preliminary Study on Deep Transfer Learning Applied to Image Classification for Small Datasets

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

2020

  1. Big data time series forecasting based on pattern sequence similarity and its application to the electricity demand

    Information Sciences, Vol. 540, pp. 160-174

  2. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

2019

  1. A novel ensemble method for electric vehicle power consumption forecasting: Application to the Spanish system

    IEEE Access, Vol. 7, pp. 120840-120856

  2. A novel hybrid algorithm to forecast functional time series based on pattern sequence similarity with application to electricity demand

    Energies, Vol. 12, Núm. 1