Publicaciones en las que colabora con Alicia Troncoso Lora (13)
2023
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A novel distributed forecasting method based on information fusion and incremental learning for streaming time series
Information Fusion, Vol. 95, pp. 163-173
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Identifying novelties and anomalies for incremental learning in streaming time series forecasting
Engineering Applications of Artificial Intelligence, Vol. 123
2022
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A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture
Neurocomputing, Vol. 500, pp. 268-278
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Nearest neighbors with incremental learning for real-time forecasting of electricity demand
IEEE International Conference on Data Mining Workshops, ICDMW
2021
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Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering
Advances in Intelligent Systems and Computing
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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
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Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach
Information Sciences, Vol. 558, pp. 174-193
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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
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Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model
Big data, Vol. 8, Núm. 4, pp. 308-322
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High-content screening images streaming analysis using the STriGen methodology
Proceedings of the ACM Symposium on Applied Computing
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Implementation of an Internal Quality Assurance System at Pablo de Olavide University of Seville: Improving Computer Science Students Skills
Advances in Intelligent Systems and Computing
2019
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Impact of Auto-evaluation Tests as Part of the Continuous Evaluation in Programming Courses
Advances in Intelligent Systems and Computing
2010
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Pattern recognition to forecast seismic time series
Expert Systems with Applications, Vol. 37, Núm. 12, pp. 8333-8342