| Evolutionary artificial neural networks for accurate solar radiation prediction D Guijo-Rubio, AM Durán-Rosal, PA Gutiérrez, AM Gómez-Orellana, ... Energy 210, 118374, 2020 | 97 | 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 | 79 | 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 | 57 | 2018 |
| 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 | 35 | 2021 |
| 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 | 31 | 2023 |
| 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 | 29 | 2022 |
| 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 | 28 | 2020 |
| 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 | 19 | 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 38 (4), 2141-2185, 2024 | 15 | 2024 |
| 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 | 14 | 2019 |
| 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 | 13 | 2021 |
| aeon: a Python toolkit for learning from time series M Middlehurst, A Ismail-Fawaz, A Guillaume, C Holder, D Guijo-Rubio, ... Journal of Machine Learning Research 25 (289), 1-10, 2024 | 12 | 2024 |
| 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 | 12 | 2023 |
| 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 | 11 | 2020 |
| Machine learning methods in organ transplantation D Guijo-Rubio, PA Gutiérrez, C Hervás-Martínez Current Opinion in Organ Transplantation 25 (4), 399-405, 2020 | 11 | 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 | 10 | 2016 |
| GEMA-Na and MELD 3.0 severity scores to address sex disparities for accessing liver transplantation: a nationwide retrospective cohort study ML Rodríguez-Perálvarez, G De la Rosa, AM Gómez-Orellana, ... EClinicalMedicine 74, 2024 | 9 | 2024 |
| An evolutionary artificial neural network approach for spatio-temporal wave height time series reconstruction D Guijo-Rubio, AM Durán-Rosal, AM Gómez-Orellana, JC Fernández Applied Soft Computing 146, 110647, 2023 | 9 | 2023 |
| 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 | 9 | 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 | 9 | 2019 |
César Hervás MartínezUniversity of Córdoba, Full ProfessorVerified email at uco.es
