Juan Carlos Fernández
Orcid: 0000-0001-8849-6036Affiliations:
- University of Córdoba, Department of Computer Science and Numerical Analysis, Spain
According to our database1,
Juan Carlos Fernández
authored at least 38 papers
between 2007 and 2023.
Collaborative distances:
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Bibliography
2023
An Evolutionary Artificial Neural Network approach for spatio-temporal wave height time series reconstruction.
Appl. Soft Comput., October, 2023
2022
Gamifying the Classroom for the Acquisition of Skills Associated with Machine Learning: A Two-Year Case Study.
Proceedings of the International Joint Conference 15th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2022) 13th International Conference on EUropean Transnational Education (ICEUTE 2022), 2022
2020
Prediction of convective clouds formation using evolutionary neural computation techniques.
Neural Comput. Appl., 2020
2019
Multi-objective evolutionary optimization using the relationship between F 1 and accuracy metrics in classification tasks.
Appl. Intell., 2019
2018
Sensitivity versus accuracy in ensemble models of Artificial Neural Networks from Multi-objective Evolutionary Algorithms.
Neural Comput. Appl., 2018
Appl. Soft Comput., 2018
2016
Hybridization of neural network models for the prediction of Extreme Significant Wave Height segments.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
2015
Significant wave height and energy flux range forecast with machine learning classifiers.
Eng. Appl. Artif. Intell., 2015
Proceedings of the Advances in Computational Intelligence, 2015
2014
Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms.
Ann. Oper. Res., 2014
2013
Predicting patient survival after liver transplantation using evolutionary multi-objective artificial neural networks.
Artif. Intell. Medicine, 2013
Proceedings of the Advances in Computational Intelligence, 2013
2012
Multi-objective evolutionary algorithm for donor-recipient decision system in liver transplants.
Eur. J. Oper. Res., 2012
Approaching System Administration as a Group Project in Computer Engineering Higher Education.
Proceedings of the International Joint Conference CISIS'12-ICEUTE'12-SOCO'12 Special Sessions, 2012
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Memetic Pareto Evolutionary Artificial Neural Networks to determine growth/no-growth in predictive microbiology.
Appl. Soft Comput., 2011
Selecting the best artificial neural network model from a multi-objective Differential Evolution Pareto front.
Proceedings of the 2011 IEEE Symposium on Differential Evolution, 2011
Memetic evolutionary multi-objective neural network classifier to predict graft survival in liver transplant patients.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks.
IEEE Trans. Neural Networks, 2010
Memetic pareto differential evolutionary artificial neural networks to determine growth multi-classes in predictive microbiology.
Evol. Intell., 2010
On the suitability of Extreme Learning Machine for gene classification using feature selection.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010
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, 2010
Learning Artificial Neural Networks multiclassifiers by evolutionary multiobjective differential evolution guided by statistical distributions.
Proceedings of the International Joint Conference on Neural Networks, 2010
Hybrid Pareto Differential Evolutionary Artificial Neural Networks to Determined Growth Multi-classes in Predictive Microbiology.
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Soft Comput., 2009
Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing, 2009
Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009
Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Design of Artificial Neural Networks Using a Memetic Pareto Evolutionary Algorithm Using as Objectives Entropy versus Variation Coefficient.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009
Proceedings of the International Joint Conference on Neural Networks, 2009
Hybrid Multilogistic Regression by Means of Evolutionary Radial Basis Functions: Application to Precision Agriculture.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
Memetic Pareto Differential Evolution for Designing Artificial Neural Networks in Multiclassification Problems Using Cross-Entropy Versus Sensitivity.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009
2008
Combined Projection and Kernel Basis Functions for Classification in Evolutionary Neural Networks.
Proceedings of the Innovations in Hybrid Intelligent Systems, 2008
Feature Selection for Hybrid Neuro-Logistic Regression Applied to Classification of Remote Sensed Data.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Memetic Pareto Evolutionary Artificial Neural Networks for the Determination of Growth Limits of Listeria Monocytogenes.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007