David Guijo-Rubio
David Guijo-Rubio
Postdoctoral Researcher, University of Alcalá (UAH)
Verified email at - Homepage
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Cited by
Evolutionary artificial neural networks for accurate solar radiation prediction
D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, AM Gómez-Orellana, ...
Energy 210, 118374, 2020
Time-series clustering based on the characterization of segment typologies
D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, A Troncoso, ...
IEEE Transactions on Cybernetics 51 (11), 5409-5422, 2021
Prediction of low-visibility events due to fog using ordinal classification
D Guijo-Rubio, PA Gutiérrez, C Casanova-Mateo, J Sanz-Justo, ...
Atmospheric Research 214, 64-73, 2018
Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport
D Guijo-Rubio, C Casanova-Mateo, J Sanz-Justo, PA Gutierrez, ...
Atmospheric Research 236, 104798, 2020
Statistical methods versus machine learning techniques for donor-recipient matching in liver transplantation
D Guijo-Rubio, J Briceño, PA Gutiérrez, MD Ayllón, R Ciria, ...
PLoS One 16 (5), e0252068, 2021
Simultaneous short-term significant wave height and energy flux prediction using zonal multi-task evolutionary artificial neural networks
AM Gómez-Orellana, D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez
Renewable Energy 184, 975-989, 2022
Short-and long-term energy flux prediction using Multi-Task Evolutionary Artificial Neural Networks
D Guijo-Rubio, AM Gómez-Orellana, PA Gutiérrez, C Hervás-Martínez
Ocean Engineering 216, 108089, 2020
Unsupervised feature based algorithms for time series extrinsic regression
D Guijo-Rubio, M Middlehurst, G Arcencio, DF Silva, A Bagnall
Data Mining and Knowledge Discovery, 1-45, 2024
Validation of artificial neural networks to model the acoustic behaviour of induction motors
FJ Jiménez-Romero, D Guijo-Rubio, FR Lara-Raya, A Ruiz-González, ...
Applied Acoustics 166, 107332, 2020
Validation of multitask artificial neural networks to model desiccant wheels activated at low temperature
F Comino, D Guijo-Rubio, MR de Adana, C Hervás-Martínez
International Journal of Refrigeration 100, 434-442, 2019
Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study
ML Rodríguez-Perálvarez, AM Gómez-Orellana, A Majumdar, M Bailey, ...
The Lancet Gastroenterology & Hepatology 8 (3), 242-252, 2023
Machine learning methods in organ transplantation
D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez
Current Opinion in Organ Transplantation 25 (4), 399-405, 2020
Multiclass prediction of wind power ramp events combining reservoir computing and support vector machines
M Dorado-Moreno, AM Durán-Rosal, D Guijo-Rubio, PA Gutiérrez, ...
Advances in Artificial Intelligence: 17th Conference of the Spanish …, 2016
Time series ordinal classification via shapelets
D Guijo-Rubio, PA Gutiérrez, A Bagnall, C Hervás-Martínez
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
One month in advance prediction of air temperature from Reanalysis data with eXplainable Artificial Intelligence techniques
AM Gómez-Orellana, D Guijo-Rubio, J Pérez-Aracil, PA Gutiérrez, ...
Atmospheric Research 284, 106608, 2023
Relu-based activations: Analysis and experimental study for deep learning
VM Vargas, D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez
Conference of the Spanish Association for Artificial Intelligence, 33-43, 2021
Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals
A Rivero-Juárez, D Guijo-Rubio, F Tellez, R Palacios, D Merino, J Macías, ...
Plos one 15 (1), e0227188, 2020
Modelling Survival by Machine Learning Methods in Liver Transplantation: Application to the UNOS Dataset
D Guijo-Rubio, PJ Villalón-Vaquero, PA Gutiérrez, MD Ayllón, J Briceño, ...
International Conference on Intelligent Data Engineering and Automated …, 2019
Ordinal versus nominal time series classification
D Guijo-Rubio, PA Gutiérrez, A Bagnall, C Hervás-Martínez
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2020
Prediction of convective clouds formation using evolutionary neural computation techniques
D Guijo-Rubio, PA Gutiérrez, C Casanova-Mateo, JC Fernández, ...
Neural Computing and Applications 32, 13917-13929, 2020
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