Publicaciones en las que colabora con Alicia Troncoso Lora (93)

2024

  1. 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 Cluster-Based Deep Learning Model for Energy Consumption Forecasting in Ethiopia

    Lecture Notes in Networks and Systems

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

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

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

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

  5. A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

    International Journal of Digital Earth, Vol. 16, Núm. 1, pp. 3661-3679

  6. 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)

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

    Proceedings of the ACM Symposium on Applied Computing

  8. Explainable Artificial Intelligence for the Electric Vehicle Load Demand Forecasting Problem

    Lecture Notes in Networks and Systems

  9. Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

    Computers and Electronics in Agriculture, Vol. 215

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

    SoftwareX, Vol. 23

  11. Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment

    Lecture Notes in Networks and Systems

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

    Lecture Notes in Networks and Systems

  13. Preface

    Lecture Notes in Networks and Systems

  14. Preface

    Lecture Notes in Networks and Systems

  15. Preface

    Lecture Notes in Networks and Systems

  16. Preface

    Lecture Notes in Networks and Systems

  17. Preface

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

  18. Preface

    Lecture Notes in Networks and Systems

2022

  1. A deep LSTM network for the Spanish electricity consumption forecasting

    Neural Computing and Applications, Vol. 34, Núm. 13, pp. 10533-10545