| Hopfield neural networks for optimization: study of the different dynamics G Joya, MA Atencia, F Sandoval Neurocomputing 43 (1-4), 219-237, 2002 | 316 | 2002 |
| Genetic algorithms for optimal placement of phasor measurement units in electrical networks FJ Marin, F Garcia-Lagos, G Joya, F Sandoval Electronics Letters 39 (19), 1, 2003 | 222* | 2003 |
| Global model for short-term load forecasting using artificial neural networks FJ Marin, F Garcia-Lagos, G Joya, F Sandoval IEE Proceedings-Generation, Transmission and Distribution 149 (2), 121-125, 2002 | 98 | 2002 |
| Hopfield neural networks for parametric identification of dynamical systems M Atencia, G Joya, F Sandoval Neural Processing Letters 21, 143-152, 2005 | 54 | 2005 |
| Dynamical analysis of continuous higher-order Hopfield networks for combinatorial optimization M Atencia, G Joya, F Sandoval Neural Computation 17 (8), 1802-1819, 2005 | 49 | 2005 |
| Parametric identification of robotic systems with stable time-varying Hopfield networks M Atencia, G Joya, F Sandoval Neural Computing & Applications 13, 270-280, 2004 | 38 | 2004 |
| Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings … I Rojas, G Joya, A Catala Springer, 2015 | 34* | 2015 |
| Advances in Computational Intelligence: 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings … I Rojas, G Joya, A Catala Springer, 2015 | 32* | 2015 |
| FPGA implementation of a systems identification module based upon Hopfield networks M Atencia, H Boumeridja, G Joya, F García-Lagos, F Sandoval Neurocomputing 70 (16-18), 2828-2835, 2007 | 28 | 2007 |
| Contingency evaluation and monitorization using artificial neural networks G Joya, F Garcia-Lagos, F Sandoval Neural Computing and Applications 19, 139-150, 2010 | 27 | 2010 |
| Automated detection of presymptomatic conditions in Spinocerebellar Ataxia type 2 using Monte Carlo dropout and deep neural network techniques with electrooculogram signals C Stoean, R Stoean, M Atencia, M Abdar, L Velázquez-Pérez, A Khosravi, ... Sensors 20 (11), 3032, 2020 | 26 | 2020 |
| Modular power system topology assessment using Gaussian potential functions F Garcia-Lagos, G Joya, FJ Marin, F Sandoval IEE Proceedings-Generation, Transmission and Distribution 150 (5), 635-640, 2003 | 23 | 2003 |
| Optimal phasor measurement unit placement using genetic algorithms FJ Marín, F García-Lagos, G Joya, F Sandoval Computational Methods in Neural Modeling: 7th International Work-Conference …, 2003 | 23 | 2003 |
| Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography RA Becerra-García, RV García-Bermúdez, G Joya-Caparrós, ... Neurocomputing 250, 28-36, 2017 | 22 | 2017 |
| Gray box identification with Hopfield neural networks M Atencia, G Joya, F Sandoval Investigación Operacional 25 (1), 2004 | 22 | 2004 |
| Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks M Atencia, G Joya, F Sandoval Neurocomputing 121, 14-24, 2013 | 19 | 2013 |
| A discrete gradient method to enhance the numerical behaviour of Hopfield networks Y Hernández-Solano, M Atencia, G Joya, F Sandoval Neurocomputing 164, 45-55, 2015 | 16 | 2015 |
| Ranking information extracted from uncertainty quantification of the prediction of a deep learning model on medical time series data R Stoean, C Stoean, M Atencia, R Rodríguez-Labrada, G Joya Mathematics 8 (7), 1078, 2020 | 14 | 2020 |
| Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba E García-Garaluz, M Atencia, G Joya, F García-Lagos, F Sandoval Neurocomputing 74 (16), 2691-2697, 2011 | 14 | 2011 |
| Modelling the HIV-AIDS Cuban epidemics with Hopfield neural networks M Atencia, G Joya, F Sandoval International Work-Conference on Artificial Neural Networks, 449-456, 2003 | 14 | 2003 |
