Publicaciones en colaboración con investigadores/as de Universidad de Sevilla (84)

2024

  1. Emerging trends in big data analytics and natural disasters

    Computers and Geosciences

2023

  1. A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia

    Energies, Vol. 16, Núm. 5

  2. A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

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

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

    Proceedings of the ACM Symposium on Applied Computing

  4. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100

  5. A new approach based on association rules to add explainability to time series forecasting models

    Information Fusion, Vol. 94, pp. 169-180

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

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

  7. Creating a homogenized earthquake catalog for Algeria and mapping the main seismic parameters using a geographic information system

    Journal of African Earth Sciences, Vol. 201

  8. Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

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

  9. 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)

  10. Evolutionary computation to explain deep learning models for time series forecasting

    Proceedings of the ACM Symposium on Applied Computing

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

    Lecture Notes in Networks and Systems

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

    Lecture Notes in Networks and Systems

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

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

2022

  1. A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

    Neurocomputing, Vol. 500, pp. 268-278

  2. A novel approach to discover numerical association based on the coronavirus optimization algorithm

    Proceedings of the ACM Symposium on Applied Computing

  3. Explainable machine learning for sleep apnea prediction

    Procedia Computer Science

2021

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

    Advances in Intelligent Systems and Computing

  2. 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

  3. Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

    Advances in Intelligent Systems and Computing