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