Laura Melgar-García
Orcid: 0000-0001-7609-0450
According to our database1,
Laura Melgar-García
authored at least 19 papers
between 2020 and 2025.
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Bibliography
2025
A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting.
Neural Comput. Appl., February, 2025
2024
A novel incremental ensemble learning for real-time explainable forecasting of electricity price.
Knowl. Based Syst., 2024
2023
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.
Int. J. Digit. Earth, December, 2023
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions.
Remote. Sens., October, 2023
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion, July, 2023
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption.
Log. J. IGPL, March, 2023
Identifying novelties and anomalies for incremental learning in streaming time series forecasting.
Eng. Appl. Artif. Intell., 2023
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting.
Proceedings of the 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 2023
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python.
Proceedings of the International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on EUropean Transnational Education (ICEUTE 2023), 2023
2022
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture.
Neurocomputing, 2022
Nearest neighbors with incremental learning for real-time forecasting of electricity demand.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
2021
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach.
Inf. Sci., 2021
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach.
Comput. Geosci., 2021
Proceedings of the Advances in Artificial Intelligence, 2021
2020
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model.
Big Data, 2020
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering.
Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020
A New Forecasting Algorithm Based on Neighbors for Streaming Electricity Time Series.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020