David Gutiérrez-Avilés
Orcid: 0000-0002-6292-9873
According to our database1,
David Gutiérrez-Avilés
authored at least 28 papers
between 2011 and 2023.
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Bibliography
2023
A new Apache Spark-based framework for big data streaming forecasting in IoT networks.
J. Supercomput., July, 2023
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series.
Inf. Fusion, July, 2023
Log. J. IGPL, July, 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
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
Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm.
Comput. Aided Civ. Infrastructure Eng., 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
Study Case of Household Electricity Consumption Patterns in London by Clustering Methodology.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 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
Big Data Res., 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
2019
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting.
Proceedings of the Advances in Computational Intelligence, 2019
2018
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2016
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016
2015
A Novel Method for Seismogenic Zoning Based on Triclustering: Application to the Iberian Peninsula.
Entropy, 2015
2014
Neurocomputing, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011
Proceedings of the Advances in Artificial Intelligence, 2011