Laura
Melgar García
Universidad de Sevilla
Sevilla, EspañaPublications in collaboration with researchers from Universidad de Sevilla (12)
2023
-
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Information Fusion, Vol. 95, pp. 163-173
-
Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python
Lecture Notes in Networks and Systems
-
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting
Lecture Notes in Networks and Systems
-
Identifying novelties and anomalies for incremental learning in streaming time series forecasting
Engineering Applications of Artificial Intelligence, Vol. 123
2022
-
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
Neurocomputing, Vol. 500, pp. 268-278
-
Nearest neighbors with incremental learning for real-time forecasting of electricity demand
IEEE International Conference on Data Mining Workshops, ICDMW
2021
-
Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
Advances in Intelligent Systems and Computing
-
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
-
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
Information Sciences, Vol. 558, pp. 174-193
-
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach
Computers and Geosciences, Vol. 150
-
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
-
Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Big data, Vol. 8, Núm. 4, pp. 308-322