| 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 | 193 | 2020 |
| Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm KTT Bui, JF Torres, D Gutiérrez‐Avilés, VH Nhu, DT Bui, ... Computer‐Aided Civil and Infrastructure Engineering 37 (11), 1368-1386, 2022 | 70 | 2022 |
| TriGen: A genetic algorithm to mine triclusters in temporal gene expression data D Gutiérrez-Avilés, C Rubio-Escudero, F Martínez-Álvarez, JC Riquelme Neurocomputing 132, 42-53, 2014 | 57 | 2014 |
| Random hyper-parameter search-based deep neural network for power consumption forecasting JF Torres, D Gutiérrez-Avilés, A Troncoso, F Martínez-Álvarez International Work-Conference on Artificial Neural Networks, 259-269, 2019 | 54 | 2019 |
| 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 | 49 | 2023 |
| A novel method for seismogenic zoning based on triclustering: application to the Iberian Peninsula F Martínez-Álvarez, D Gutiérrez-Avilés, A Morales-Esteban, J Reyes, ... Entropy 17 (7), 5000-5021, 2015 | 29 | 2015 |
| Mining 3D patterns from gene expression temporal data: a new tricluster evaluation measure D Gutiérrez-Avilés, C Rubio-Escudero The Scientific World Journal 2014 (1), 624371, 2014 | 28 | 2014 |
| MSL: a measure to evaluate three-dimensional patterns in gene expression data D Gutiérrez-Avilés, C Rubio-Escudero Evolutionary Bioinformatics 11, EBO. S25822, 2015 | 27 | 2015 |
| A new Apache Spark-based framework for big data streaming forecasting in IoT networks AM Fernández-Gómez, D Gutiérrez-Avilés, A Troncoso, ... The Journal of Supercomputing 79 (10), 11078-11100, 2023 | 26 | 2023 |
| A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture L Melgar-García, D Gutiérrez-Avilés, MT Godinho, R Espada, IS Brito, ... Neurocomputing 500, 268-278, 2022 | 25 | 2022 |
| Identifying novelties and anomalies for incremental learning in streaming time series forecasting L Melgar-García, D Gutierrez-Aviles, C Rubio-Escudero, A Troncoso Engineering Applications of Artificial Intelligence 123, 106326, 2023 | 18 | 2023 |
| Discovering spatio-temporal patterns in precision agriculture based on triclustering L Melgar-García, MT Godinho, R Espada, D Gutiérrez-Avilés, IS Brito, ... International Workshop on Soft Computing Models in Industrial and …, 2020 | 17 | 2020 |
| LSL: A new measure to evaluate triclusters D Gutiérrez-Avilés, C Rubio-Escudero 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 17 | 2014 |
| 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 | 15 | 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 | 15 | 2020 |
| TRIQ: a new method to evaluate triclusters D Gutiérrez-Avilés, R Giráldez, FJ Gil-Cumbreras, C Rubio-Escudero BioData mining 11 (1), 15, 2018 | 15 | 2018 |
| Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach L Melgar-Garcia, D Gutiérrez-Avilés, C Rubio-Escudero, A Troncoso Information Sciences 558, 174-193, 2021 | 14 | 2021 |
| Real-time big data analytics in smart cities from LoRa-based IoT networks AM Fernández, D Gutiérrez-Avilés, A Troncoso, F Martínez-Álvarez International Workshop on Soft Computing Models in Industrial and …, 2019 | 13 | 2019 |
| Automated deployment of a spark cluster with machine learning algorithm integration AM Fernández, D Gutiérrez-Avilés, A Troncoso, F Martínez–Álvarez Big Data Research 19, 100135, 2020 | 11 | 2020 |
| An experimental comparison of qiskit and pennylane for hybrid quantum-classical support vector machines F Rodríguez-Díaz, JF Torres, D Gutiérrez-Avilés, A Troncoso, ... Conference of the Spanish Association for Artificial Intelligence, 121-130, 2024 | 10 | 2024 |
Cristina Rubio-EscuderoSenior Lecturer, University of SevillaVerified email at us.es
