Publicaciones – Juan Carlos Fernández Caballero

Publicaciones en revistas científicas y congresos

Perfiles de investigación:

ORCID: https://orcid.org/0000-0001-8849-6036
Google Scholar: https://scholar.google.es/citations?hl=es&user=65rIewoAAAAJ
ResearcherID: https://www.webofscience.com/wos/author/record/K-9840-2014
ScopusID: https://www.scopus.com/authid/detail.uri?authorId=24474144000

Publicaciones en revistas

F. Bérchez‐Moreno, A.M. Durán‐Rosal, C. Hervás, P.A. Gutiérrez, J.C. Fernández. «A memetic dynamic coral reef optimisation algorithm for simultaneous training, design, and optimisation of artificial neural networks», Scientific Reports, Vol. 14:6951. 2024
F. Bérchez-Moreno, J.C. Fernández, C. Hervás-Martínez y P.A. Gutiérrez. «Fusion of standard and ordinal dropout techniques to regularise deep models», Information Fusion, Vol. 106:102299. 2024.
D. Guijo-Rubio, A.M. Durán-Rosal, A.M. Gómez-Orellana y J.C. Fernández. «An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction», Applied Soft Computing, Vol. 146:110647. 2023.
A.M. Gómez-Orellana, J.C. Fernández, M. Dorado-Moreno, P.A. Gutiérrez y C. Hervás-Martínez. «Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux», Energies, Vol. 14(2):468. 2021.
D. Guijo-Rubio, P.A. Gutiérrez, C. Casanova-Mateo, J.C. Fernández, A.M. Gómez-Orellana, P. Salvador-González, S. Salcedo-Sanz y C. Hervás-Martínez. «Prediction of convective clouds formation using evolutionary neural computation techniques», Neural Computing and Applications, Vol. 32, pp. 13917-13929. 2020.
A. Rivero-Juárez, D. Guijo-Rubio, F. Téllez, R. Palacios, D. Merino, J. Macías, J.C. Fernández, P.A. Gutiérrez, A. Rivero y C. Hervás-Martínez. «Using machine learning methods to determine a typology of patients with HIV-HCV infection to be treated with antivirals», PLoS One, Vol. 15(1):e0227188. 2020.
J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez y C. Hervás-Martínez. «Multi-objective evolutionary optimization using the relationship between F1 and accuracy metrics in classification tasks», Applied Intelligence, Vol. 49(9), pp. 3447-3463. 2019.
S. Jiménez-Fernández, C. Camacho-Gómez, R. Mallol-Poyato, J.C. Fernández, J.D. Ser, A. Portilla-Figueras y S. Salcedo-Sanz. «Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm», Sustainability, Vol. 11(1):169. 2019.
A.M. Durán-Rosal, J.C. Fernández, C. Casanova-Mateo, J. Sanz-Justo, S. Salcedo-Sanz y C. Hervás-Martínez. «Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks», Applied Soft Computing, Vol. 70, pp. 347-358. 2018.
J.C. Fernández, M. Cruz-Ramírez y C. Hervás-Martínez. «Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms», Neural Computing and Applications, Vol. 30(1), pp. 289-305. 2018.
A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. «Detection and prediction of segments containing extreme significant wave heights», Ocean Engineering, Vol. 142, pp. 268-279. 2017.
J.C. Fernández, S. Salcedo-Sanz, P.A. Gutiérrez, E. Alexandre y C. Hervás-Martínez. «Significant wave height and energy flux range forecast with machine learning classifiers», Engineering Applications of Artificial Intelligence, Vol. 43, pp. 44-53. 2015.
C. García-Alonso, L.M. Pérez-Naranjo y J.C. Fernández. «Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms», Annals of Operations Research, Vol. 219(1), pp. 187-202. 2014.
M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño y M. de la Mata. «Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks», Artificial Intelligence in Medicine, Vol. 58(1), pp. 37-49. 2013.
M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández, J. Briceño y M. de la Mata. «Multi-Objective Evolutionary Algorithm for Donor-Recipient Decision System in Liver Transplants», European Journal of Operational Research, Vol. 222(2), October, pp. 317-327. 2012.
J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo y P.A. Gutiérrez. «Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology», Applied Soft Computing, Vol. 11(1), pp. 534-550. 2011.
M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernandez-Navarro, J.C. Fernández y C. Hervás-Martínez. «Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology», Evolutionary Intelligence, Vol. 3(3-4), pp. 187-199. 2010.
J.C. Fernández, F.J. Martínez-Estudillo, C. Hervás-Martínez y P.A. Gutiérrez. «Sensitivity Versus Accuracy in Multiclass Problems Using Memetic Pareto Evolutionary Neural Networks», IEEE Transacctions on Neural Networks, Vol. 21(5), pp. 750-770. 2010.
J. Alcala-Fdez, L. Sánchez, S. García, M.J. Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández y F. Herrera. «Keel: A software tool to assess evolutionary algorithms for data mining problems», Soft Computing, Vol. 13(3), pp. 307-318. 2009.
P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero-Ruz y J.C. Fernández. «Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks», Neurocomputing, Vol. 72(13-15), pp. 2731-2742. 2009.
P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, M. Jurado-Expósito, J. Peña-Barragán y F. López-Granados. «Structural simplification of hybrid neuro-logistic regression models in multispectral analysis of remote sensed data», Neural Network World, Vol. 19(1), pp. 3-20. 2009.

Publicaciones en congresos

A.M. Durán-Rosal, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. «Hybridization of neural network models for the prediction of extreme significant wave height segments». 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016). 6th-9th December. 2016. Athens, Greece. pp. 1-8.
P.A. Gutiérrez, J.C. Fernández, M. Pérez-Ortiz, L. Cornejo-Bueno, E. Alexandre-Cortizo, S. Salcedo-Sanz y C. Hervás-Martínez. «Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model». 13th International Work-Conference on Artificial Neural Networks (IWANN 2015). 10th-12th June. 2015. Palma de Mallorca (Spain). Lecture Notes in Computer Science (LNCS), vol. 9095. pp. 92-102.
M. Pérez-Ortiz, R. Colmenarejo, J.C. Fernández y C. Hervás-Martínez. «Can machine learning techniques help to improve the Common Fisheries Policy?». International Work Conference on Artificial Neural Networks. 12-14 June. 2013. Puerto de la Cruz, Spain. Advances in Computational Intelligence, Part II, Lecture Notes in Computer Science, vol. 7903. pp. 278-286
M. Cruz-Ramírez, J.C. Fernández, A. Valero, P.A. Gutiérrez y C. Hervás-Martínez. «Multiobjective Pareto Ordinal Classification for Predictive Microbiology». 7th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO’12). 5-7 September. 2012. Ostrava, Czech Republic. Advances in Intelligent Systems and Computing, vol. 188. pp. 153-162.
M. Pérez-Ortiz, M. Cruz-Ramírez, J.C. Fernández y C. Hervás-Martínez. «Hybrid Multi-objective Machine Learning Classification in Liver Transplantation». 7th International Conference on Hybrid Artificial Intelligence Systems (HAIS2012). 28-30 March. 2012. Salamanca, Spain. Hybrid Artificial Intelligent Systems, Lecture Notes in Computer Science, vol. 7208. pp. 397-408.
M. Cruz-Ramírez, J.C. Fernández, F. Fernandez-Navarro, J. Sánchez-Monedero y C. Hervás-Martínez. «Selecting the best Artificial Neural Network model from a Multi-Objective Differential Evolution Pareto front». Proceedings of the IEEE Symposium on Differential Evolution (SDE 2011). 11-15 April. 2011. Paris, France. pp. 96-103.
M. Cruz-Ramírez, J.C. Fernández, F. Fernandez-Navarro, J. Briceño, M. de la Mata y C. Hervás-Martínez. «Memetic Evolutionary Multi-Objective Neural Network Classifier to Predict Graft Survival in Liver Transplant Patients». Proceedings of the 13th annual conference companion on Genetic and evolutionary computation (GECCO2011). 12-16 July. 2011. Dublin, Ireland. pp. 479-486.
J. Sánchez-Monedero, M. Cruz-Ramírez, F. Fernandez-Navarro, J.C. Fernández, P.A. Gutiérrez y C. Hervás-Martínez. «On the suitability of Extreme Learning Machine for gene classification using feature selection». 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). A.E. Hassanien, A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli y T.-P. Hong eds. 29 Nov-1 Dec. 2010. Cairo, Egypt. pp. 507-512.
J. Sánchez-Monedero, P.A. Gutiérrez, C. Hervás-Martínez, M. Cruz-Ramírez, J.C. Fernández y F. Fernandez-Navarro. «Methodology for the recognition and diagnosis of students performance by discriminant analisys and artificial neural networks». 1st International Conference on EUropean Transnational Education (ICEUTE2010). 24 September. 2010. Burgos, Spain. pp. 107-115.
M. Cruz-Ramírez, C. Hervás-Martínez, J.C. Fernández y J. Sánchez-Monedero. «Learning Artificial Neural Networks Multiclassifiers by Evolutionary Multiobjective Differential Evolution Guided by Statistical Distributions». International Joint Conference on Neural Networks (IJCNN2010). 18-23 July. 2010. Barcelona, Spain. pp. 2540-2547.
M. Cruz-Ramírez, J.C. Fernández, J. Sánchez-Monedero, F. Fernandez-Navarro, C. Hervás-Martínez, P.A. Gutiérrez y M.T. Lamata. «Ensemble determination using the TOPSIS decision support system in multi-objective evolutionary neural network classifiers». Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA2010). A.E. Hassanien, A. Abraham, F. Marcelloni, H. Hagras, M. Antonelli y T.-P. Hong eds. 29 November-1 Decemb. 2010. Cairo, Egypt. pp. 513-518.
M. Cruz-Ramírez, J. Sánchez-Monedero, F. Fernandez-Navarro, J.C. Fernández y C. Hervás-Martínez. «Hybrid Pareto Differential Evolutionary Artificial Neural Networks to determined growth multi-classes in Predictive Microbiology». 23rd International Conference on Industrial and Engineering {&} Other Applications of Applied Intelligent Systems (IEA-AIE2010). 1-4 June. 2010. Cordoba, Spain. Trends in Applied Intelligent Systems, Lecture Notes in Computer Science, vol. 6098. pp. 646-655.
P.A. Gutiérrez, C. Hervás-Martínez, F.J. Martínez-Estudillo y J.C. Fernández. «MultiLogistic Regression using Initial and Radial Basis Function covariates». IEEE International Joint Conference on Neural Networks (IJCNN2009). 14-19 June. 2009. Atlanta, United States. pp. 1067-1074.
F. Fernandez-Navarro, P.A. Gutiérrez, C. Hervás-Martínez y J.C. Fernández. «A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms». Third International Work-Conference on the Interplay Between Natural and Artificial Computation (IWINAC09). 22-26 June. 2009. Santiago de Compostela, Spain. Methods and Models in Artificial and Natural Computation, Lecture Notes in Computer Science, vol. 5601. pp. 245-254.
J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez y M. Cruz-Ramírez. «Memetic Pareto Differential Evolution for designing Artificial Neural Networks in Multiclassification Problems using Cross-Entropy versus Sensitivity». 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). 10-12 June. 2009. Salamanca, Spain. Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 5572. pp. 433-441.
J.C. Fernández, M. Carbonero-Ruz, P.A. Gutiérrez y C. Hervás-Martínez. «Ensembles de redes neuronales construidos mediante algoritmos híbridos multiobjetivo para optimizar la precisión y la sensitividad». VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09). 11-13 Febrero. 2009. Málaga, España. pp. 309-316.
J.C. Fernández, C. Hervás-Martínez, F.J. Martínez-Estudillo y M. Cruz-Ramírez. «Design of Artificial Neural Networks using a Memetic Pareto Evolutionary Algorithm using as objectives Entropy versus Variation Coefficient». Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 30 November-2 Decem. 2009. Pisa, Italy. pp. 408-413.
C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, S. Salcedo-Sanz, A.P. Figueras, A.P. Bellido y L. Prieto. «Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction». Ninth International Conference on Intelligent Systems Design and Applications (ISDA09). 30 Nov-2 Dec. 2009. Pisa, Italy. pp. 193-198.
P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández y F.L. Granados. «Hybrid multilogistic regression by means of evolutionary radial basis functions: application to precision agriculture». 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS09). 10-12 June. 2009. Salamanca, Spain. Hybrid Artificial Intelligence Systems, Lecture Notes in Computer Science, vol. 5572. pp. 244-251.
P.A. Gutiérrez, C. Hervás-Martínez, J.C. Fernández, J. Peña-Barragán, M.J. Expósito y F.L. Granados. «Hibridación de Algoritmos de Aprendizaje para Modelos Neurologísticos aplicados a la Clasificación de Cubiertas Vegetales». VI Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB09). 11-13 Febrero. 2009. Málaga, España. pp. 325-332.
F.J. Martínez-Estudillo, P.A. Gutiérrez, C. Hervás-Martínez y J.C. Fernández. «Evolutionary Learning by a Sensitivity-Accuracy Approach for Multi-class Problems». IEEE Congress on Evolutionary Computation (CEC08). 1-6 June. 2008. Hong Kong, China. pp. 1581-1588.
J.C. Fernández, P.A. Gutiérrez, C. Hervás-Martínez y F.J. Martínez-Estudillo. «Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes». International Conference on Hybrid Intelligent Systems (HIS08). 10-12 September. 2008. Barcelona, Spain. pp. 631-636.
P.A. Gutiérrez, J.C. Fernández, C. Hervás-Martínez, F.L. Granados, M.J. Expósito y J. Peña-Barragán. «Feature Selection for Hybrid Neuro-Logistic Regression applied to Classification of Remote Sensed Data». 8th International Conference on Hybrid Intelligent Systems (HIS08). 10-12 September. 2008. Barcelona, Spain. pp. 625-630.
C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández y A. Tallón-Ballesteros. «Regresión logística multiclase utilizando funciones de base evolutivas de tipo proyección». I Jornadas de Algoritmos Evolutivos y Metaheurísticas (JAEM07). 12-13 Septiembre. 2007. Zaragoza, España. pp. 65-72.
C. Hervás-Martínez, F.J. Martínez-Estudillo, M. Carbonero-Ruz, C. Romero y J.C. Fernández. «Evolutionary Combining of Basis Function Neural Networks for Classification». International Work-conference on the Interplay between Natural and Artificial Computation (IWINAC07). 18-21 June. 2007. La Manga del Mar Menor, Spain. Bio-inspired Modeling of Cognitive Tasks, Lecture Notes on Computer Science, vol. 4527. pp. 447-456.
C. Hervás-Martínez, F.J. Martínez-Estudillo, A.C. Martínez-Estudillo, P.A. Gutiérrez y J.C. Fernández. «Aprendizaje mediante la hibridación de técnicas heurísticas y estadísticas de optimización en regresión logística binaria». V Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB07). 14-16 Febrero. 2007. Puerto de la Cruz, España. pp. 61-68.
P.A. Gutiérrez, C. Hervás-Martínez, M. Carbonero-Ruz y J.C. Fernández. «Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks». International Workshop on Hybrid Artificial Intelligence Systems (HAIS 2007). 12-13 November. 2007. Salamanca, Spain. Innovations in Hybrid Intelligent Systems, Advances in Soft Computing, vol. 44. pp. 87-95.
C. Hervás-Martínez, F.J. Martínez-Estudillo, P.A. Gutiérrez, J.C. Fernández y A. Tallón-Ballesteros. «Clasificación mediante la Evolución de Modelos Híbridos de Redes Neuronales». V Congreso Español sobre Metaheurísticas and Algoritmos Evolutivos y Bioinspirados (MAEB07). 14-16 Febrero. 2007. Puerto de la Cruz, España. pp. 77-84.
A. Valero, F. Pérez-Rodriguez, E. Carrasco, C. Hervás-Martínez, P.A. Gutiérrez, J.C. Fernández, R.M. Garcia y G. Zurera. «Evolutionary combined neural networks for modelling the growth boundaries for a five strain Staphylococcus cocktail against temperature and pH and water activity». 5th International Conference in Predictive Modelling in Foods (PMF07). 16-19 September. 2007. Athens, Greece. pp. 291-294.
P.A. Gutiérrez, J.C. Fernández y C. Hervás-Martínez. «Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección». V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007). 11-14 Septiembre. 2007. Zaragoza, España. pp. 239-246.

Publicaciones docentes

A.M. Durán-Rosal, D. Guijo-Rubio, V.M. Vargas-Yun, A.M. Gómez-Orellana, P.A. Gutiérrez y J.C. Fernández. «Gamifying the classroom for the acquisition of skills associated with Machine Learning: a two-year case study». Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022), 13th International Conference on EUropean Transnational Education (ICEUTE 2022). Salamanca, Spain. Lecture Notes in Networks and Systems, vol. 532. pp. 224-235. 2023.
D. Guijo-Rubio, V.M. Vargas-Yun, A.M. Durán-Rosal, A.M. Gómez-Orellana, J. Barbero-Gómez, J.C. Fernández y P.A. Gutiérrez. «Potenciando el perfil profesional Científico de Datos mediante dinámicas de competición», Revista de Innovación y Buenas Prácticas Docentes, Vol. 10(2), pp. 101-106. 2021.
P.A. Gutiérrez, J. Sánchez-Monedero, C. Hervás-Martínez, M. Cruz-Ramírez, J.C. Fernández y F. Fernandez-Navarro. «Approaching system administration as a group project in computer engineering higher education». Third International Conference on EUropean Transnational Education (ICEUTE’12). Ostrava, Czech Republic. Advances in Intelligent Systems and Computing, vol. 189. pp. 331-340. 2012.