Francisco García-Lagos

According to our database, Francisco García-Lagos authored at least 21 papers between 1998 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

A Study of the Use of Gyroscope Measurements in Wearable Fall Detection Systems.

Eduardo Casilari, Moisés Álvarez-Marco, Francisco García-Lagos

Symmetry, 2020

A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets.

Eduardo Casilari, Raúl Lora-Rivera, Francisco García-Lagos

Sensors, 2020

Monte Carlo uncertainty analysis of an ANN-based spectral analysis method.

José Ramón Salinas, Francisco García-Lagos, Javier Díaz de Aguilar, Gonzalo Joya, Francisco Sandoval

Neural Comput. Appl., 2020

Advances in computational intelligence.

Miguel A. Atencia Ruiz, Gonzalo Joya, Francisco García-Lagos

Neural Comput. Appl., 2020

2019

A comprehensive study on the use of artificial neural networks in wearable fall detection systems.

Eduardo Casilari-Pérez, Francisco García-Lagos

Expert Syst. Appl., 2019

Unsupervised Learning as a Complement to Convolutional Neural Network Classification in the Analysis of Saccadic Eye Movement in Spino-Cerebellar Ataxia Type 2.

Catalin Stoean, Ruxandra Stoean, Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Miguel A. Atencia Ruiz, Francisco García-Lagos, Luís Velázquez Pérez, Gonzalo Joya

Proceedings of the Advances in Computational Intelligence, 2019

A Neural Network for Stance Phase Detection in Smart Cane Users.

Juan Rafael Caro-Romero, Joaquín Ballesteros, Francisco García-Lagos, Cristina Urdiales, Francisco Sandoval

Proceedings of the Advances in Computational Intelligence, 2019

A Wearable Fall Detection System Using Deep Learning.

Eduardo Casilari, Raúl Lora-Rivera, Francisco García-Lagos

Proceedings of the Advances and Trends in Artificial Intelligence. From Theory to Practice, 2019

2017

Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography.

Roberto Antonio Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada

Neurocomputing, 2017

Uncertainty Analysis of ANN Based Spectral Analysis Using Monte Carlo Method.

José Ramón Salinas, Francisco García-Lagos, Javier Díaz de Aguilar, Gonzalo Joya, Francisco Sandoval

Proceedings of the Advances in Computational Intelligence, 2017

2016

Integrating corporate governance and financial variables for the identification of qualified audit opinions with neural networks.

Manuel A. Fernández-Gámez, Francisco García-Lagos, J. R. Sánchez-Serrano

Neural Comput. Appl., 2016

2015

Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning.

Roberto Becerra-García, Rodolfo García-Bermúdez, Gonzalo Joya Caparrós, Abel Fernández-Higuera, Camilo Velázquez-Rodríguez, Michel Velázquez-Mariño, Franger Cuevas-Beltrán, Francisco García-Lagos, Roberto Rodríguez-Labrada

Proceedings of the Advances in Computational Intelligence, 2015

2011

Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba.

Esther García-Garaluz, Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández

Neurocomputing, 2011

2010

Contingency evaluation and monitorization using artificial neural networks.

Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández

Neural Comput. Appl., 2010

2009

Sine-fitting multiharmonic algorithms implemented by artificial neural networks.

José Ramón Salinas, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Neurocomputing, 2009

System Identification of Dengue Fever Epidemics in Cuba.

Esther García-Garaluz, Miguel A. Atencia Ruiz, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2007

FPGA implementation of a systems identification module based upon Hopfield networks.

Miguel A. Atencia Ruiz, Hafida Boumeridja, Gonzalo Joya Caparrós, Francisco García-Lagos, Francisco Sandoval Hernández

Neurocomputing, 2007

2003

Fuzzy processing for active vision.

Michael J. Allen, Francisco Javier Marín Martín, Francisco García-Lagos, Norman E. Gough, Quasim H. Mehdi

Integr. Comput. Aided Eng., 2003

Optimal Phasor Measurement Unit Placement Using Genetic Algorithms.

Francisco Javier Marín Martín, Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Sandoval Hernández

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

2001

Neural Networks for Contingency Evaluation and Monitoring in Power Systems.

Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández

Proceedings of the Bio-inspired Applications of Connectionism, 2001

1998

Application of Hopfield Neural Networks to State Estimation.

Francisco García-Lagos, Gonzalo Joya Caparrós, Francisco Javier Marín Martín, Francisco Sandoval Hernández

Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998