Publicacións (19) Publicacións de Laura Melgar García

2024

  1. A novel incremental ensemble learning for real-time explainable forecasting of electricity price

    Knowledge-Based Systems, Vol. 305

  2. Técnicas Big Data para la predicción de la demanda y precio eléctrico

    Economía industrial, Núm. 431, pp. 119-130

2023

  1. A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

    Information Fusion, Vol. 95, pp. 163-173

  2. 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

  3. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

  4. Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting

    Lecture Notes in Networks and Systems

  5. Identification of Anomalies in Urban Sound Data with Autoencoders

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

  6. Identifying novelties and anomalies for incremental learning in streaming time series forecasting

    Engineering Applications of Artificial Intelligence, Vol. 123

  7. Streaming big time series forecasting based on nearest similar patterns with application to energy consumption

    Logic Journal of the IGPL, Vol. 31, Núm. 2, pp. 255-270

2022

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

    Neurocomputing, Vol. 500, pp. 268-278

  2. Nearest neighbors with incremental learning for real-time forecasting of electricity demand

    IEEE International Conference on Data Mining Workshops, ICDMW

2021

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

    Advances in Intelligent Systems and Computing

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

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

  3. Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach

    Information Sciences, Vol. 558, pp. 174-193

  4. Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

    Computers and Geosciences, Vol. 150

  5. Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming

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

2020

  1. A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series

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

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

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

  3. High-content screening images streaming analysis using the STriGen methodology

    Proceedings of the ACM Symposium on Applied Computing