Tuning fuzzy logic controllers for energy efficiency consumption in buildings. - Rafael Alcalá; Jorge Casillas; Antonio González 005 (EUSFLAT-ESTYLF Joint Conf., 1999)

Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. - Jorge Casillas; Oscar Cordón; Francisco Herrera; Juan Julián Merelo Guervós (Artificial Evolution, 2001)

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (EUSFLAT Conf., 2001)

A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. - Jorge Casillas; Oscar Cordón; Francisco Herrera (EUSFLAT Conf., 2001)

Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. - Jorge Casillas; Oscar Cordón; María José del Jesus; Francisco Herrera (Inf. Sci., 2001)

Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (J. Intell. Fuzzy Syst., 2001)

Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (IBERAMIA, 2002)

Hybridizing Hierarchical and Weighted Linguistic Rules. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera; Igor Zwir (SAC, 2002)

Some relationships between fuzzy and random set-based classifiers and models. - Luciano Sánchez; Jorge Casillas; Oscar Cordón; María José del Jesus (Int. J. Approx. Reason., 2002)

COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. - Jorge Casillas; Oscar Cordón; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Part B, 2002)

Genetic learning of accurate TS models based on local fuzzy prototyping. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (EUSFLAT Conf., 2003)

Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. - Rafael Alcalá; José Manuel Benítez 001; Jorge Casillas; Oscar Cordón; Raúl Pérez (Appl. Intell., 2003)

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Francisco Herrera (Integr. Comput. Aided Eng., 2003)

Obtaining a fuzzy controller with high interpretability in mobile robots navigation. - Manuel Mucientes; Jorge Casillas (FUZZ-IEEE, 2004)

Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models. - Jorge Casillas; Oscar Delgado; Francisco José Martínez-López (EUSFLAT Conf., 2005)

A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. - Rafael Alcalá; Jorge Casillas; Oscar Cordón; Antonio González 005; Francisco Herrera (Eng. Appl. Artif. Intell., 2005)

Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. - Jorge Casillas; Oscar Cordón; Iñaki Fernández de Viana; Francisco Herrera (Int. J. Intell. Syst., 2005)

Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. - Jorge Casillas; Oscar Cordón; María José del Jesus; Francisco Herrera (IEEE Trans. Fuzzy Syst., 2005)

Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models. - Jorge Casillas; Luciano Sánchez (FUZZ-IEEE, 2006)

Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model. - Alicia D. Benítez; Jorge Casillas (ICNC (1), 2006)

Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (Soft Comput., 2006)

Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria. - Luciano Sánchez; Inés Couso; Jorge Casillas (MCDM, 2007)

Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm. - Jorge Casillas; Pedro Martínez (FUZZ-IEEE, 2007)

Fuzzy-UCS: preliminary results. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (GECCO (Companion), 2007)

Evolving Fuzzy Rules with UCS: Preliminary Results. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (IWLCS, 2007)

Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. - Jorge Casillas; Francisco Herrera; Raúl Pérez; María José del Jesus; Pedro Villar (Int. J. Approx. Reason., 2007)

Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. - Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas; Oscar Cordón; Francisco Herrera (Int. J. Intell. Syst., 2007)

Fuzzy-XCS: A Michigan Genetic Fuzzy System. - Jorge Casillas; Brian Carse; Larry Bull (IEEE Trans. Fuzzy Syst., 2007)

Quick Design of Fuzzy Controllers With Good Interpretability in Mobile Robotics. - Manuel Mucientes; Jorge Casillas (IEEE Trans. Fuzzy Syst., 2007)

First approach toward on-line evolution of association rules with learning classifier systems. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (GECCO (Companion), 2008)

Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. - Jorge Casillas; Albert Orriols-Puig; Ester Bernadó-Mansilla (GEFS, 2008)

Approximate Versus Linguistic Representation in Fuzzy-UCS. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (HAIS, 2008)

Genetic-based machine learning systems are competitive for pattern recognition. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (Evol. Intell., 2008)

A Comparative Study of Several Genetic-Based Supervised Learning Systems. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (Learning Classifier Systems in Data Mining, 2008)

KDD in Marketing with Genetic Fuzzy Systems. - Jorge Casillas; Francisco José Martínez-López (Soft Computing for Knowledge Discovery and Data Mining, 2008)

Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. - Alicia D. Benítez; Jorge Casillas (IFSA/EUSFLAT Conf., 2009)

Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. - Jorge Casillas (IFSA/EUSFLAT Conf., 2009)

Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems. - Jorge Casillas (FUZZ-IEEE, 2009)

Evolution of Interesting Association Rules Online with Learning Classifier Systems. - Albert Orriols-Puig; Jorge Casillas (IWLCS, 2009)

Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling. - Jorge Casillas; Francisco José Martínez-López (Expert Syst. Appl., 2009)

Genetic learning of fuzzy rules based on low quality data. - Luciano Sánchez; Inés Couso; Jorge Casillas (Fuzzy Sets Syst., 2009)

Learning weighted linguistic rules to control an autonomous robot. - Manuel Mucientes; Rafael Alcalá; Jesús Alcalá-Fdez; Jorge Casillas (Int. J. Intell. Syst., 2009)

Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions". - Jorge Casillas; Brian Carse (Soft Comput., 2009)

Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. - Jorge Casillas; Pedro Martínez; Alicia D. Benítez (Soft Comput., 2009)

Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. - Albert Orriols-Puig; Jorge Casillas; Ester Bernadó-Mansilla (IEEE Trans. Evol. Comput., 2009)

SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. - Michel González; Jorge Casillas; Carlos Morell 001 (HAIS (2), 2010)

An adaptive vehicle guidance system instigated from ant colony behavior. - Habib M. Kammoun; Ilhem Kallel; Adel M. Alimi; Jorge Casillas (SMC, 2010)

A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. - Manuel Mucientes; Jesús Alcalá-Fdez; Rafael Alcalá; Jorge Casillas (Expert Syst. Appl., 2010)

Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules. - Albert Orriols-Puig; Jorge Casillas; Francisco José Martínez-López (Marketing Intelligent Systems Using Soft Computing, 2010)

Improvement of the road traffic management by an ant-hierarchical fuzzy system. - Habib M. Kammoun; Ilhem Kallel; Adel M. Alimi; Jorge Casillas (CIVTS, 2011)

Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. - Michel González; Jorge Casillas; Carlos Morell 001 (GEFS, 2011)

Learning Intelligent Controllers for Path-Following Skills on Snake-Like Robots. - Francisco Javier Marín; Jorge Casillas; Manuel Mucientes; Aksel Andreas Transeth; Sigurd Aksnes Fjerdingen; Ingrid Schjølberg (ICIRA (2), 2011)

Fuzzy knowledge representation study for incremental learning in data streams and classification problems. - Albert Orriols-Puig; Jorge Casillas (Soft Comput., 2011)

Hybrid Genetic-Fuzzy System Modeling Application in Innovation Management. - Kemal Kilic; Jorge Casillas (IS-MiS, 2012)

MarkiS: A Marketing Intelligent System Software Application for Causal Modeling. - Francisco Javier Marín; Jorge Casillas; Francisco José Martínez-López (IS-MiS, 2012)

Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems. - Alicia D. Benítez; Jorge Casillas (Soft Comput., 2013)

Evolving association streams. - Andreu Sancho-Asensio; Albert Orriols-Puig; Jorge Casillas (Inf. Sci., 2016)

Energy consumption modeling by machine learning from daily activity metering in a hospital. - Elena Ruiz; Rosalia Pacheco-Torres; Jorge Casillas (ETFA, 2017)

Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction. - Jorge Casillas; Shuo Wang (ICDM Workshops, 2018)

Adaptive fuzzy partitions for evolving association rules in big data stream. - Elena Ruiz; Jorge Casillas (Int. J. Approx. Reason., 2018)

Assessing web sites quality: A systematic literature review by text and association rules mining. - Rim Rekik; Ilhem Kallel; Jorge Casillas; Adel M. Alimi (Int. J. Inf. Manag., 2018)

How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. - Ana Valdivia; Javier Sánchez-Monedero; Jorge Casillas (CoRR, 2020)

A Streaming Approach for Association Rule Analysis of Spanish Politics on Twitter. - Pedro J. López; Elena Ruiz; Jorge Casillas (QUATIC, 2021)

Facing Many Objectives for Fairness in Machine Learning. - David Villar; Jorge Casillas (QUATIC, 2021)

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness. - Ana Valdivia; Javier Sánchez-Monedero; Jorge Casillas (Int. J. Intell. Syst., 2021)

Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. - Takeru Konishi; Naoki Masuyama; Jorge Casillas; Yusuke Nojima (FUZZ, 2024)

Predicting Academic Success of College Students Using Machine Learning Techniques. - Jorge Humberto Guanin-Fajardo; Javier Guaña-Moya; Jorge Casillas (Data, 2024)

Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness. - Juliett Suárez Ferreira; Marija Slavkovik 001; Jorge Casillas (CoRR, 2025)

Uncovering Fairness through Data Complexity as an Early Indicator. - Juliett Suárez Ferreira; Marija Slavkovik 001; Jorge Casillas (CoRR, 2025)

Transparency and Proportionality in Post-Processing Algorithmic Bias Correction. - Juliett Suárez Ferreira; Marija Slavkovik 001; Jorge Casillas (CoRR, 2025)