Gonzalo Joya Caparrós > Curriculum Vitae
Gonzalo Joya was born in Granada (Spain) in 1960. He obtained his degree in Physics from the University of Granada (Spain) and the Ph.D. from the University of Málaga (Spain). He is a Full Professor in the Department of Electronics Technology of the University of Málaga and Permanent Invited Professor at the University of Havana (from 2010) and the University of Holguin (2023). His main current field of interest include the foundations of Artificial Neural Networks and their application to the design of systems for recording and processing of biomedical signals, with special attention to electrooculographic records. He has published more than 30 articles in journals indexed at IJCR and more than 60 papers at international conferences. He is co-chair of the International Work-Conference on Artificial Neural Network (IWANN) from 2009. He has published as a Co-editor ten books in Lecture Notes in Computer Science (LNCS) Collection.
Last 10 years most relevant PUBLICATIONS:
Carlos Cano-Domingo, Ruxandra Stoean, Gonzalo Joya, Nuria Novas, Manuel Fernadez-Ros Jose Antonio Gazquez. A Machine Learning hourly analysis on the relation the Ionosphere and Schumann Resonance Frequency. Measurement Vol. 28, 2023, Art. 112426 https://www.sciencedirect.com/science/article/pii/S0263224122016232
Valdés, L.; Ariza, A.; Allende, S.M.; Triviño, A.; Joya, G.S, Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry 2021, 13, 1534. https://doi.org/10.3390/sym13081534
Becerra-García, Roberto A., Rodolfo García-Bermúdez, and Gonzalo Joya. 2021. Differentiation of Saccadic Eye Movement Signals. Sensors 21, no. 15: 5021. https://doi.org/10.3390/s21155021
Stoean, Ruxandra; Stoean, Catalin Liviu; R Becerra-García, García-Bermúdez, Rodolfo; Atencia-Ruiz, Miguel Alejandro; Garcia-Lagos, Francisco; Velázquez Pérez, Luis; Joya-Caparros, Gonzalo. 2020. A Hybrid Unsupervised - Deep Learning Tandem for Electrooculography Time Series Analysis. PloS One. https://doi.org/10.1371/journal.pone.0236401
R Stoean, C Stoean, M Atencia, R Rodríguez-Labrada, G Joya, 2020. Ranking Information Extracted from Uncertainty Quantification of the Prediction of a Deep Learning Model on Medical Time Series Data. Mathematics 8 (7), 1078 1078; https://doi.org/10.3390/math8071078
Catalin Stoean, Ruxandra Stoean, Miguel Atencia, Moloud Abdar, Luis Velázquez-Pérez, Abbas Khosravi, Saeid Nahavandi, U Rajendra Acharya, Gonzalo Joya, 2020. Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals. Sensors 20 (11), 3032 https://doi.org/10.3390/s20113032
Salinas, J.R., García-Lagos, F., Diaz de Aguilar, J., Joya, G, and Sandoval, F. et al. 2020. Monte Carlo uncertainty analysis of an ANN-based spectral analysis method. Neural Computing & Applications 32, 351–368. https://doi.org/10.1007/s00521-019-04169-x
Atencia M., Gallicchio C., Joya G., Micheli A. (2020) Time Series Clustering with Deep Reservoir Computing. In: Farkaš I., Masulli P., Wermter S. (eds) Artificial Neural Networks and Machine Learning – ICANN 2020. ICANN 2020. Lecture Notes in Computer Science, vol 12397. Springer, Cham. https://doi.org/10.1007/978-3-030-61616-8_39
Valdés L., Ariza A., Allende S.M., Joya G. (2019) Searching the Shortest Pair of Edge-Disjoint Paths in a Communication Network. A Fuzzy Approach. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, vol 11507. Springer, Cham. https://doi.org/10.1007/978-3-030-20518-8_53
Atencia M., Stoean C., Stoean R., Rodríguez-Labrada R., Joya G. (2019) Dynamic Clustering of Time Series with Echo State Networks. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science, vol 11507. Springer, Cham. https://doi.org/10.1007/978-3-030-20518-8_7
Becerra- García, R. A.; García- Bermúdez, R. V.; Joya-Caparros, Gonzalo; Fernández- Higuera, A.; Velázquez- Rodríguez, C.; Velázquez- Mariño, M.; Cuevas- Beltrán, F. R.; Garcia-Lagos, Francisco; Rodríguez- Labrada, R.. 2017. Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography. Neurocomputing. 250: 28-36. https://doi.org/10.1016/j.neucom.2016.10.077
García, Rodolfo; Becerra, Roberto; Velázquez, Camilo; Rojas-Ruiz, Fernando; Joya-Caparros, Gonzalo; Torres, Christian; Demera, Gabriel. 2016. An assessment of wavelet based differentiation of noisy electro-oculographic records. International Journal of Psychophysiology. 108:170-170. https://doi.org/10.1016/j.ijpsycho.2016.07.488
Hernández-Solano, Yadira; Atencia-Ruiz, Miguel Alejandro; Joya Caparros, Gonzalo; Sandoval-Hernandez, Francisco. 2015. A discrete gradient method to enhance the numerical behaviour of Hopfield networks. Neurocomputing. 164: 45-55. https://doi.org/10.1016/j.neucom.2014.10.091
Valdés, Lissette; Montesinos, Soraya; Ariza-Quintana, Alfonso; Allende, Sira M.; Joya-Caparros, Gonzalo. 2015. Peer selection in P2P wireless mesh networks: comparison of different strategies. Soft Computing. 19: 2447-2455. https://doi.org/10.1007/s00500-014-1572-6
M. Atencia and G. Joya. Hopfield networks: from optimization to adaptive control. 2015 International Joint Conference on Neural Networks (IJCNN), 2015, pp. 1-8, https://doi.org/10.1109/IJCNN.2015.7280368
Roberto Becerra-García , Rodolfo García-Bermúdez, Gonzalo Joya-Caparrós, Abel Fernández-Higuera, et al. (2015) Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learning. In: Rojas I., Joya G., Catala A. (eds) Advances in Computational Intelligence. IWANN 2015. Lecture Notes in Computer Science, vol 9095. Springer, Cham. https://doi.org/10.1007/978-3-319-19222-2_5
M Atencia, G Joya, F Sandoval, 2013. Identification of noisy dynamical systems with parameter estimation based on Hopfield neural networks. Neurocomputing, Vol. 121, pp.14-24 , Eselvier https://doi.org/10.1016/j.neucom.2013.01.030
M Atencia, E García-Garaluz, G Joya (2013) The ratio of hidden HIV infection in Cuba Mathematical Biosciences & Engineering 10 (4), 959, https://doi.org/10.3934/mbe.2013.10.959
M Atencia, E García-Garaluz, H de Arazoza, G Joya (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; https://doi.org/10.1016/j.mcm.2013.03.007
J Barrios, A Piétrus, G Joya, A Marrero, H de Arazoza (2012). A differential inclusion approach for modeling and analysis of dynamical systems under uncertainty. Soft Computing 17 (2), 239-253 https_//doi.org/10.1007/s00500-012-0889-2
E García-Garaluz, M Atencia, G Joya, F García-Lagos, F Sandoval (2011), Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba, Neurocomputing 74 (16), 2691-2697. https://doi.org/10.1016/j.neucom.2011.03.022
