Coronavirus optimization algorithm: a bioinspired metaheuristic based on the COVID-19 propagation model F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ... Big Data 8 (4), 308-322, 2020 | 163 | 2020 |
A novel distributed forecasting method based on information fusion and incremental learning for streaming time series L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Information Fusion 95, 163-173, 2023 | 31 | 2023 |
A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture L Melgar-García, D Gutierrez-Aviles, MT Godinho, R Espada, IS Brito, ... Neurocomputing 500, 268-278, 2022 | 24 | 2022 |
Discovering spatio-temporal patterns in precision agriculture based on triclustering L Melgar-García, MT Godinho, R Espada, D Gutiérrez-Avilés, IS Brito, ... 15th International Conference on Soft Computing Models in Industrial and …, 2021 | 15 | 2021 |
Identifying novelties and anomalies for incremental learning in streaming time series forecasting L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Engineering Applications of Artificial Intelligence 123, 106326, 2023 | 14 | 2023 |
Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach JL Amaro-Mellado, L Melgar-García, C Rubio-Escudero, ... Computers & Geosciences 150, 104736, 2021 | 14 | 2021 |
High-content screening images streaming analysis using the STriGen methodology L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Proceedings of the 35th Annual ACM Symposium on Applied Computing, 537-539, 2020 | 14 | 2020 |
Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Information Sciences 558, 174-193, 2021 | 13 | 2021 |
Streaming big time series forecasting based on nearest similar patterns with application to energy consumption P Jiménez-Herrera, L Melgar-GarcÍa, G Asencio-Cortés, A Troncoso Logic Journal of the IGPL 31 (2), 255-270, 2023 | 8 | 2023 |
Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Advances in Artificial Intelligence: 19th Conference of the Spanish …, 2021 | 8 | 2021 |
& Troncoso, A.(2020). Coronavirus Optimization Algorithm: A bioinspired metaheuristic based on the COVID-19 propagation model F Martínez-Álvarez, G Asencio-Cortés, JF Torres, D Gutiérrez-Avilés, ... arXiv preprint arXiv:2003.13633, 2003 | 7 | 2003 |
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 L Melgar-García, F Martínez-Álvarez, D Tien Bui, A Troncoso International Journal of Digital Earth 16 (1), 3661-3679, 2023 | 6 | 2023 |
A new forecasting algorithm based on neighbors for streaming electricity time series P Jiménez-Herrera, L Melgar-García, G Asencio-Cortés, A Troncoso International Conference on Hybrid Artificial Intelligence Systems, 522-533, 2020 | 6 | 2020 |
Feature Selection Guided by CVOA Metaheuristic for Deep Neural Networks: Application to Multivariate Time Series Forecasting MJ Jiménez-Navarro, C Restrepo-Estrada, L Melgar-García, ... International Conference on Soft Computing Models in Industrial and …, 2023 | 3 | 2023 |
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions VH Nhu, PV Hoa, L Melgar-García, D Tien Bui Remote Sensing 15 (19), 4761, 2023 | 2 | 2023 |
Nearest neighbors with incremental learning for real-time forecasting of electricity demand L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022 | 2 | 2022 |
Online forecasting using neighbor-based incremental learning for electricity markets L Melgar-García, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Neural Computing and Applications, 1-18, 2025 | | 2025 |
A novel method based on hybrid deep learning with explainability for olive fruit pest forecasting AM Chacón-Maldonado, L Melgar-García, G Asencio-Cortés, A Troncoso Neural Computing and Applications, 1-20, 2024 | | 2024 |
A novel incremental ensemble learning for real-time explainable forecasting of electricity price L Melgar-García, A Troncoso Knowledge-Based Systems, 112574, 2024 | | 2024 |
Identification of Anomalies in Urban Sound Data with Autoencoders L Melgar-García, M Hosseini, A Troncoso International Conference on Hybrid Artificial Intelligence Systems, 27-38, 2023 | | 2023 |