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Atencia Ruiz, M., Joya Caparrós, G. & García Lagos, F. (2019). Advances in computational intelligence. Neural Computing and Applications, , 1-3. [More] [Bibtex]
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. [More] [Bibtex]
Salinas Vázquez, J. R., García Lagos, F., De Aguilar, J. D., Joya Caparrós, G. & Sandoval Hernández, F. (2019). Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Computing and Applications, , 1-18. [More] [Bibtex]
De Aguilar, J. D., Salinas Vázquez, J. R., F. Kieler, O., Caballero, R., Behr, R., A. Sanmamed, Y. et al. (2019). Characterization of an analog to digital converter frequency response by a Josephson Arbitrary Waveform Synthesizer. Measurement Science and Technology, 30(3). [More] [Bibtex]

Cano, C., Stoean, R. & Joya Caparrós, G. (2018). FPGA design and hardware implementation of a convolutional neural network for classification of saccadic eye movements. Annals of the University of Craiova, Mathematics and Computer Science Series, 45(2), 263-274. [More] [Bibtex]

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. [More] [Bibtex]
Ballesteros-Gómez, A., Ballesteros Gómez, J., Ortiz, X., Jonker, W., Helmus, R., J. Jobst, K. et al. (2017). Identification of Novel Brominated Compounds in Flame Retarded Plastics Containing TBBPA by Combining Isotope Pattern and Mass Defect Cluster Analysis. Environmental. Science and Technology, 51(3), 1518-1526. [More] [Bibtex]
Herrero Reder, I., Urdiales García, C., Peula Palacios, J. M. & Sandoval Hernández, F. (2017). CBR-based reactive behavior learning for the Memory-Prediction Framework. Neurocomputing, 250, 18-27. [More] [Bibtex]
Sandoval Hernández, F., Prieto, A. & Atencia Ruiz, M. (2017). New Trends in Computational Intelligence. Neurocomputing, 250, 1-4. [More] [Bibtex]

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. [More] [Bibtex]

Atencia Ruiz, M., Hernández, Y., Joya Caparrós, G. & Sandoval Hernández, F. (2015). A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing, 164, 45-55. [More] [Bibtex]
Atencia Ruiz, M., Sandoval Hernández, F. & Prieto, A. (2015). Advances in computational intelligence. Neurocomputing, 164, 1-4. [More] [Bibtex]
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, . [More] [Bibtex]
Rojas, I., Joya Caparrós, G. & Cabestany, J. (2015). Special issue on advances in computational intelligence and machine learning (IWANN 2013). Soft Computing, 9(19), 2403-2405. [More] [Bibtex]
Valdés, L., Montesinos, S., Ariza, A., M. Allende, S. & Joya Caparrós, G. (2015). Peer selection in P2P wireless mesh networks: comparison of different strategies. Soft Computing, 19(9), 2447–2455. [More] [Bibtex]

Atencia Ruiz, M., García Garaluz, E. & Joya Caparrós, G. (2013). The ratio of hidden HIV infection in Cuba. Mathematical Biosciences and Engineering, 10(4), 959-977. [More] [Bibtex]
Atencia Ruiz, M., García Garaluz, E., de Harazoza Rodríguez, H. & Joya Caparrós, G. (2013). Estimation of parameters based on artificial neural networks and threshold of HIV/AIDS epidemic system in Cuba. Mathematical and Computer Modelling, 57(11-12), 2971–2983. [More] [Bibtex]
Atencia Ruiz, M., Joya Caparrós, G. & Sandoval Hernández, F. (2013). Identification of Noisy Dynamical Systems with the ‘Hopfield estimator. Neurocomputing, 121, 14-24. [More] [Bibtex]
Barrios, J., Piétrus, A., Joya Caparrós, G., Marrero, A. & de Harazoza Rodríguez, H. (2013). A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty: Application to dengue disease transmission. Soft Computing, 17(2), 239-253. [More] [Bibtex]
Prieto, A., Atencia Ruiz, M. & Sandoval Hernández, F. (2013). Advances in artificial neural networks and machine learning. Neurocomputing, 121, 1-3. [More] [Bibtex]
Rojas, I., Cabestani, J. & Joya Caparrós, G. (2013). Advances in computational intelligence. Soft Computing, 17(2), 195-197. [More] [Bibtex]

García Garaluz, E., Atencia Ruiz, M., Joya Caparrós, G., García Lagos, F. & Sandoval Hernández, F. (2011). Hopfield Networks for Identification of Delay Differential Equations with an Application to Dengue Fever Epidemics in Cuba. Neurocomputing,, 74(16), 2691-2697. [More] [Bibtex]

García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2010). Contingency Evaluation and Monitorization Using Artificial Neural Networks. Neural Computing and Applications, 19, 139-150. [More] [Bibtex]

Cabestany, J., Sandoval Hernández, F. & Prieto, A. (2009). Computational and ambient intelligence. Neurocomputing, 72(16-18). [More] [Bibtex]
Salinas Vázquez, J. R., García Lagos, F., Joya Caparrós, G. & Sandoval Hernández, F. (2009). Sine Fitting Multiharmonic Algorithms implemented by Artificial Neural Networks. Neurocomputing, 72(16-18), 3640-3648. [More] [Bibtex]

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