Publicaciones

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2007
Niching genetic feature selection algorithms applied to the design of fuzzy rule-based classification systems, Aguilera, José, Chica M., del Jesus M. J., and Herrera F. , 2007 IEEE International Fuzzy Systems Conference, July, p.1-6, (2007)
2008
On the Use of Bagging, Mutual Information-Based Feature Selection and Multicriteria Genetic Algorithms to Design Fuzzy Rule-Based Classification Ensembles, Cordón, O., Quirin A., and Sánchez L. , 2008 Eighth International Conference on Hybrid Intelligent Systems, Sep., p.549-554, (2008)
2010
GP-COACH: Genetic Programming-based learning of Compact and ACcurate fuzzy rule-based classification systems for High-dimensional problems, Berlanga, F.J., Rivera-Rivas A.J., del Jesus M. J., and Herrera F. , Information Sciences, Volume 180, Number 8, p.1183 - 1200, (2010)
2014
Comments on “Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization” by Eyke Hüllermeier, Sánchez, Luciano , International Journal of Approximate Reasoning, Volume 55, Number 7, p.1583 - 1587, (2014)
2016
Machine learning models, epistemic set-valued data and generalized loss functions: An encompassing approach, Couso, Inés, and Sánchez Luciano , Information Sciences, Volume 358-359, p.129 - 150, (2016)
2020
Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines, Pulgar, Francisco J., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , Information Fusion, 02/2020, Volume 54, p.44-60, (2020) PDF icon 1-s2.0-S1566253519300880-main.pdf (895.14 KB)
2021
ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders, Pulgar, Francisco J., Charte Francisco, Rivera-Rivas A.J., and del Jesus M. J. , Information Sciences, Volume 565, p.146-176, (2021) PDF icon 1-s2.0-S0020025521002024-main.pdf (1.79 MB)