Jorge Casillas
Orcid: 0000-0002-5887-3977Affiliations:
- University of Granada, Spain
According to our database1,
Jorge Casillas
authored at least 65 papers
between 1999 and 2021.
Collaborative distances:
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Bibliography
2021
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness.
Int. J. Intell. Syst., 2021
Proceedings of the Quality of Information and Communications Technology, 2021
Proceedings of the Quality of Information and Communications Technology, 2021
2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees.
CoRR, 2020
2018
Assessing web sites quality: A systematic literature review by text and association rules mining.
Int. J. Inf. Manag., 2018
Int. J. Approx. Reason., 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
Energy consumption modeling by machine learning from daily activity metering in a hospital.
Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation, 2017
2016
2013
Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems.
Soft Comput., 2013
2012
Proceedings of the Management Intelligent Systems - First International Symposium, 2012
Proceedings of the Management Intelligent Systems - First International Symposium, 2012
2011
Fuzzy knowledge representation study for incremental learning in data streams and classification problems.
Soft Comput., 2011
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011
Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2011
2010
Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules.
Proceedings of the Marketing Intelligent Systems Using Soft Computing, 2010
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems.
Expert Syst. Appl., 2010
Proceedings of the IEEE International Conference on Systems, 2010
Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010
2009
Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning.
IEEE Trans. Evol. Comput., 2009
Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems.
Soft Comput., 2009
Soft Comput., 2009
Int. J. Intell. Syst., 2009
Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling.
Expert Syst. Appl., 2009
Proceedings of the Learning Classifier Systems, 2009
Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems.
Proceedings of the FUZZ-IEEE 2009, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
2008
Proceedings of the Soft Computing for Knowledge Discovery and Data Mining, 2008
Proceedings of the Learning Classifier Systems in Data Mining, 2008
Evol. Intell., 2008
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008
First approach toward on-line evolution of association rules with learning classifier systems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008
2007
IEEE Trans. Fuzzy Syst., 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst., 2007
Int. J. Approx. Reason., 2007
Proceedings of the Learning Classifier Systems, 2007
Proceedings of the Genetic and Evolutionary Computation Conference, 2007
Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm.
Proceedings of the FUZZ-IEEE 2007, 2007
Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007
2006
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput., 2006
Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst., 2005
Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm.
Int. J. Intell. Syst., 2005
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell., 2005
Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005
2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning.
Integr. Comput. Aided Eng., 2003
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003
2002
COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules.
IEEE Trans. Syst. Man Cybern. Part B, 2002
Int. J. Approx. Reason., 2002
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002
Proceedings of the Advances in Artificial Intelligence, 2002
2001
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems.
J. Intell. Fuzzy Syst., 2001
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci., 2001
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001
Proceedings of the Artificial Evolution, 2001
1999
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999