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, 2020 | 78 | 2020 |
Detection of early warning signals in paleoclimate data using a genetic time series segmentation algorithm A Nikolaou, PA Gutiérrez, A Durán, I Dicaire, F Fernández-Navarro, ... Climate Dynamics 44 (7), 1919-1933, 2015 | 44 | 2015 |
A statistically-driven coral reef optimization algorithm for optimal size reduction of time series AM Durán-Rosal, PA Gutierrez, S Salcedo-Sanz, C Hervas-Martinez Applied Soft Computing 63, 139-153, 2018 | 39 | 2018 |
Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks AM Durán-Rosal, C Hervás-Martínez, AJ Tallón-Ballesteros, ... Ocean Engineering 117, 292-301, 2016 | 39 | 2016 |
Efficient fog prediction with multi-objective evolutionary neural networks AM Durán-Rosal, JC Fernández, C Casanova-Mateo, J Sanz-Justo, ... Applied Soft Computing 70, 347-358, 2018 | 30 | 2018 |
A hybrid dynamic exploitation barebones particle swarm optimisation algorithm for time series segmentation AM Durán-Rosal, PA Gutiérrez, A Carmona-Poyato, C Hervás-Martínez Neurocomputing 353, 45-55, 2019 | 24 | 2019 |
On the use of evolutionary time series analysis for segmenting paleoclimate data M Pérez-Ortiz, AM Durán-Rosal, PA Gutiérrez, J Sanchez-Monedero, ... Neurocomputing 326, 3-14, 2019 | 20 | 2019 |
A new approach for optimal time-series segmentation Á Carmona-Poyato, NL Fernández-García, FJ Madrid-Cuevas, ... Pattern Recognition Letters 135, 153-159, 2020 | 18 | 2020 |
Detection and prediction of segments containing extreme significant wave heights AM Durán-Rosal, JC Fernández, PA Gutiérrez, C Hervás-Martínez Ocean Engineering 142, 268-279, 2017 | 18 | 2017 |
Ordinal classification of the affectation level of 3D-images in Parkinson diseases AM Durán-Rosal, J Camacho-Cañamón, PA Gutiérrez, MV Guiote Moreno, ... Scientific Reports 11 (1), 7067, 2021 | 15 | 2021 |
Identifying market behaviours using european stock index time series by a hybrid segmentation algorithm AM Durán-Rosal, M de la Paz-Marín, PA Gutiérrez, C Hervás-Martínez Neural Processing Letters 46, 767-790, 2017 | 11 | 2017 |
Time series representation by a novel hybrid segmentation algorithm AM Durán-Rosal, PA Gutiérrez-Peña, FJ Martínez-Estudillo, ... Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS …, 2016 | 10 | 2016 |
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 |
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 |
A multi-class classification model with parametrized target outputs for randomized-based feedforward neural networks AM Durán-Rosal, A Durán-Fernández, F Fernández-Navarro, ... Applied Soft Computing 133, 109914, 2023 | 9 | 2023 |
Dynamical memetization in coral reef optimization algorithms for optimal time series approximation AM Durán-Rosal, PA Gutiérrez, S Salcedo-Sanz, C Hervás-Martínez Progress in Artificial Intelligence 8, 253-262, 2019 | 8 | 2019 |
A new approach for optimal offline time-series segmentation with error bound guarantee Á Carmona-Poyato, NL Fernández-Garcia, FJ Madrid-Cuevas, ... Pattern Recognition 115, 107917, 2021 | 7 | 2021 |
Simultaneous optimisation of clustering quality and approximation error for time series segmentation AM Durán-Rosal, PA Gutiérrez, FJ Martínez-Estudillo, C Hervas-Martinez Information Sciences 442, 186-201, 2018 | 7 | 2018 |
Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation VM Vargas, AM Durán-Rosal, D Guijo-Rubio, PA Gutiérrez, ... Information Sciences 648, 119606, 2023 | 5 | 2023 |