Casilari Pérez, E., Lora Rivera, R. & García Lagos, F. (2019). Evaluation of a Fall Alerting System based on a Convolutional Deep Neural Networks, París, Francia, IEEE.[Más]
Casilari, E., Lora-Rivera, R. & García Lagos, F. (2019). A wearable fall detection system using deep learning, Graz, Austria.[Más]
García Lagos, F. & Casilari Pérez, E. (2019). A Comprehensive Study on the use of Artificial Neural Networks in Wearable Fall Detection Systems. Expert Systems With Applications + OA Mirror, 138, 1-25.[Más]
Stoean, C., Stoean, R., Becerra García, R. A., García Bermúdez, R., Atencia Ruiz, M., García Lagos, F. et al. (2019). Unsupervised learning as a complement to convolutional neural network classification in the analysis of saccadic eye movement in spino-cerebellar ataxia type 2, Gran Canarias, Islas Canarias (Spain).[Más]
A. Becerra-García, R., V. García-Bermúdez, R., Joya Caparrós, G., Fernández-Higuera, A., Velázquez-Rodríguez, C., Velázquez-Mariño, M. et al. (2017). Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing, 250, 28-36.[Más]
Rojas, I., Joya, G. & Catala, A., editores. (2017). Uncertainties analysis of a spectral analysis method based on ANN by means of Monte Carlo, Lecture Notes in Computer Science (LNCS), Cham, Springer, Universidad de Málaga.[Más]
Año: 2016
Díaz de Aguilar, J., Salinas Vázquez, J. R., Lapuh, R., Méndez, A., García Lagos, F. & Sanmamed, Y. A. (2016). Characterization of the amplitude frequency response of Analog-to-Digital Converters, Ottawa, Canada, 2016 Conference on Precision Electromagnetic Measurements (CPEM 2016).[Más]
Fernández-Gámez, M., García Lagos, F. & Sánchez-Serrano, J. (2016). Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks. Neural Computing and Applications, 27, 1427-1444.[Más]
García Berdonés, C., Casilari Pérez, E., García Lagos, F., González Parada, E., Vizcaíno, F. J. & Molina Tanco, L. (2016). Diseño de un itinerario para el desarrollo de competencias transversales en un grado de ingeniería electrónica: primeros pasos, Puerto Real, Cádiz (España), 24ª edición del Congreso Universitario de Innovación Educativa en las Enseñanzas Técnicas (XXIV CUIEET).[Más]
Becerra García, R., García Bermúdez, R., Joya Caparrós, G., Fernández Higuera, A., Velázquez Rodríguez, C., Velázquez Mariño, M. et al. (2015). Non spontaneous saccadic movements identification in clinical electrooculography using machine learning, Palma de Mallorca, Islas Baleares (Spain), 13th International Work-Conference on Artificial Neural Networks (IWANN 2015).[Más]
Fernández Gámez, M. A., García Lagos, F. & Sánchez Serrano, J. R. (2015). Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks. Neural Computing and Applications, .[Más]
Año: 2014
Díaz de Aguilar, J., Salinas Vázquez, J. R., García Lagos, F., L. Romero, M., A. Sanmamed, Y. & Neira, M. (2014). Evaluation and compensation of the ADC and transducer influence in the CEM digital sampling wattmeter, Rio de Janeiro, Brazil, 2014 Conference on Precision Electromagnetic Measurements (CPEM 2014).[Más]
Power Engineering, ., Energy & (POWERENG 2011), E. D., editores. (2011). Optimization of Distributed Generation Penetration in Distributed Power Electric Systems, TORREMOLINOS, MÁLAGA (SPAIN).[Más]
Resultados 1 - 20 de 72 << Inicio < Anterior1234Siguiente > Fin >>