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 | 183 | 2003 |
A study on the application of convolutional neural networks to fall detection evaluated with multiple public datasets E Casilari, R Lora-Rivera, F García-Lagos Sensors 20 (5), 1466, 2020 | 98 | 2020 |
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 |
A study of the use of gyroscope measurements in wearable fall detection systems E Casilari, M Álvarez-Marco, F García-Lagos Symmetry 12 (4), 649, 2020 | 52 | 2020 |
Genetic algorithms for optimal placement of phasor measurement units in electric networks FJ Marın, F Garcıa-Lagos, G Joya, F Sandoval Electron. Lett 39 (19), 1403-1405, 2003 | 52 | 2003 |
A comprehensive study on the use of artificial neural networks in wearable fall detection systems E Casilari-Pérez, F García-Lagos Expert Systems with Applications 138, 112811, 2019 | 46 | 2019 |
Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks MA Fernández-Gámez, F García-Lagos, JR Sánchez-Serrano Neural Computing and Applications 27, 1427-1444, 2016 | 34 | 2016 |
Contingency evaluation and monitorization using artificial neural networks G Joya, F García-Lagos, F Sandoval Neural Computing and Applications 19, 139-150, 2010 | 28 | 2010 |
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 |
Predicting audit opinion in consolidated financial statements with artificial neural networks JR Sánchez-Serrano, D Alaminos, F García-Lagos, AM Callejón-Gil Mathematics 8 (8), 1288, 2020 | 24 | 2020 |
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 | 24 | 2017 |
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 |
A wearable fall detection system using deep learning E Casilari, R Lora-Rivera, F García-Lagos Advances and Trends in Artificial Intelligence. From Theory to Practice …, 2019 | 21 | 2019 |
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 | 15 | 2011 |
Algoritmos Genéticos: una estrategia para la búsqueda y la optimización FJM Martín, FG Lagos, FS Hernández Informática y automática: revista de la Asociación Española de Informática y …, 1992 | 13 | 1992 |
A neural topology estimator for power systems F Garcia-Lagos, G Joya, FJ Marin, F Sandoval The International Conference on Engineering Applications of Neural Networks …, 1998 | 12 | 1998 |
Sampling strategies comparison for high accuracy power measurements JR Salinas, FG Lagos, G Joya, F Sandoval 2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007, 1-5, 2007 | 11 | 2007 |
New Spanish electrical power standard JR Salinas, FG Lagos, G Joya, F Sandoval, ML Romero, F Raso, M Neira MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference, 994-997, 2006 | 11 | 2006 |
Hopfield neural networks for state estimation: parameters, efficient implementation and results F García-Lagos, G Joya, FJ Marín, F Sandoval e & i Elektrotechnik und Informationstechnik 1 (117), 4-7, 2000 | 9 | 2000 |