Juan Carlos Fernández

Orcid: 0000-0001-8849-6036

Affiliations:
  • University of Córdoba, Department of Computer Science and Numerical Analysis, Spain


According to our database1, Juan Carlos Fernández authored at least 40 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Fusion of standard and ordinal dropout techniques to regularise deep models.
Inf. Fusion, 2024

dlordinal: a Python package for deep ordinal classification.
CoRR, 2024

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

Efficient fog prediction with multi-objective evolutionary neural networks.
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

Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model.
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

Can Machine Learning Techniques Help to Improve the Common Fisheries Policy?
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

Multiobjective Pareto Ordinal Classification for Predictive Microbiology.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Hybrid Multi-objective Machine Learning Classification in Liver Transplantation.
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
KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput., 2009

Combined projection and kernel basis functions for classification in evolutionary neural networks.
Neurocomputing, 2009

A Sensitivity Clustering Method for Hybrid Evolutionary Algorithms.
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

MultiLogistic Regression using Initial and Radial Basis Function covariates.
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

Evolutionary learning by a sensitivity-accuracy approach for multi-class problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Evolutionary Combining of Basis Function Neural Networks for Classification.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007


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