Jorge Casillas

75 papers B 5C 1Misc 4Journal 35Unranked 25
YearRankTypeTitle / Venue / Authors
2026 J jnl
Fairness via Fuzzy Systems: Analysis of Accuracy-Fairness Tradeoff by Multiobjective Fuzzy Genetics-Based Machine Learning.
IEEE Trans. Fuzzy Syst.
Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima
2025 J jnl
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness.
CoRR
Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas
2025 J jnl
General procedure to measure fairness in regression problems.
Int. J. Data Sci. Anal.
Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas
2025 — conf
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction.
AEQUITAS@ECAI
Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas
2025 J jnl
Transparency and Proportionality in Post-Processing Algorithmic Bias Correction.
CoRR
Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas
2025 J jnl
Uncovering Fairness through Data Complexity as an Early Indicator.
CoRR
Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas
2024 — conf
Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning.
FUZZ
Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima
2024 J jnl
Predicting Academic Success of College Students Using Machine Learning Techniques.
Data
Jorge Humberto Guanin-Fajardo, Javier Guaña-Moya, Jorge Casillas
2021 Misc conf
A Streaming Approach for Association Rule Analysis of Spanish Politics on Twitter.
QUATIC
Pedro J. López, Elena Ruiz, Jorge Casillas
2021 Misc conf
Facing Many Objectives for Fairness in Machine Learning.
QUATIC
David Villar, Jorge Casillas
2021 J jnl
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness.
Int. J. Intell. Syst.
Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas
2020 J jnl
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees.
CoRR
Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas
2018 J jnl
Adaptive fuzzy partitions for evolving association rules in big data stream.
Int. J. Approx. Reason.
Elena Ruiz, Jorge Casillas
2018 J jnl
Assessing web sites quality: A systematic literature review by text and association rules mining.
Int. J. Inf. Manag.
Rim Rekik, Ilhem Kallel, Jorge Casillas, Adel M. Alimi
2018 — conf
Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction.
ICDM Workshops
Jorge Casillas, Shuo Wang
2017 C conf
Energy consumption modeling by machine learning from daily activity metering in a hospital.
ETFA
Elena Ruiz, Rosalia Pacheco-Torres, Jorge Casillas
2016 J jnl
Evolving association streams.
Inf. Sci.
Andreu Sancho-Asensio, Albert Orriols-Puig, Jorge Casillas
2013 J jnl
Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems.
Soft Comput.
Alicia D. Benítez, Jorge Casillas
2012 — conf
Hybrid Genetic-Fuzzy System Modeling Application in Innovation Management.
IS-MiS
Kemal Kilic, Jorge Casillas
2012 — ed.
Management Intelligent Systems - First International Symposium, IS-MiS 2012, Salamanca, Spain, July 11-13, 2012
IS-MiS
Jorge Casillas, Francisco José Martínez-López, Juan Manuel Corchado Rodríguez
2012 — conf
MarkiS: A Marketing Intelligent System Software Application for Causal Modeling.
IS-MiS
Francisco Javier Marín, Jorge Casillas, Francisco José Martínez-López
2011 — conf
Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems.
GEFS
Michel González, Jorge Casillas, Carlos Morell
2011 J jnl
Fuzzy knowledge representation study for incremental learning in data streams and classification problems.
Soft Comput.
Albert Orriols-Puig, Jorge Casillas
2011 — conf
Improvement of the road traffic management by an ant-hierarchical fuzzy system.
CIVTS
Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi, Jorge Casillas
2011 — conf
Learning Intelligent Controllers for Path-Following Skills on Snake-Like Robots.
ICIRA (2)
Francisco Javier Marín, Jorge Casillas, Manuel Mucientes, Aksel Andreas Transeth, Sigurd Aksnes Fjerdingen, Ingrid Schjølberg
2010 J jnl
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems.
Expert Syst. Appl.
Manuel Mucientes, Jesús Alcalá-Fdez, Rafael Alcalá, Jorge Casillas
2010 B conf
An adaptive vehicle guidance system instigated from ant colony behavior.
SMC
Habib M. Kammoun, Ilhem Kallel, Adel M. Alimi, Jorge Casillas
2010 — ch.
Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules.
Marketing Intelligent Systems Using Soft Computing
Albert Orriols-Puig, Jorge Casillas, Francisco José Martínez-López
2010 — book
Marketing Intelligent Systems Using Soft Computing - Managerial and Research Applications
Jorge Casillas, Francisco José Martínez-López
2010 — conf
SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System.
HAIS (2)
Michel González, Jorge Casillas, Carlos Morell
2009 B conf
Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems.
FUZZ-IEEE
Jorge Casillas
2009 — conf
Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions.
IFSA/EUSFLAT Conf.
Jorge Casillas
2009 — conf
Evolution of Interesting Association Rules Online with Learning Classifier Systems.
IWLCS
Albert Orriols-Puig, Jorge Casillas
2009 J jnl
Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning.
IEEE Trans. Evol. Comput.
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2009 — conf
Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems.
IFSA/EUSFLAT Conf.
Alicia D. Benítez, Jorge Casillas
2009 J jnl
Genetic learning of fuzzy rules based on low quality data.
Fuzzy Sets Syst.
Luciano Sánchez, Inés Couso, Jorge Casillas
2009 J jnl
Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems.
Soft Comput.
Jorge Casillas, Pedro Martínez, Alicia D. Benítez
2009 J jnl
Learning weighted linguistic rules to control an autonomous robot.
Int. J. Intell. Syst.
Manuel Mucientes, Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas
2009 J jnl
Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling.
Expert Syst. Appl.
Jorge Casillas, Francisco José Martínez-López
2009 J jnl
Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions".
Soft Comput.
Jorge Casillas, Brian Carse
2008 — ch.
A Comparative Study of Several Genetic-Based Supervised Learning Systems.
Learning Classifier Systems in Data Mining
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008 Misc conf
Approximate Versus Linguistic Representation in Fuzzy-UCS.
HAIS
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008 — conf
First approach toward on-line evolution of association rules with learning classifier systems.
GECCO (Companion)
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008 J jnl
Genetic-based machine learning systems are competitive for pattern recognition.
Evol. Intell.
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2008 — ch.
KDD in Marketing with Genetic Fuzzy Systems.
Soft Computing for Knowledge Discovery and Data Mining
Jorge Casillas, Francisco José Martínez-López
2008 — conf
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems.
GEFS
Jorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla
2007 B conf
Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm.
FUZZ-IEEE
Jorge Casillas, Pedro Martínez
2007 — conf
Evolving Fuzzy Rules with UCS: Preliminary Results.
IWLCS
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2007 — conf
Fuzzy-UCS: preliminary results.
GECCO (Companion)
Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
2007 J jnl
Fuzzy-XCS: A Michigan Genetic Fuzzy System.
IEEE Trans. Fuzzy Syst.
Jorge Casillas, Brian Carse, Larry Bull
2007 J jnl
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst.
Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
2007 — conf
Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria.
MCDM
Luciano Sánchez, Inés Couso, Jorge Casillas
2007 J jnl
Quick Design of Fuzzy Controllers With Good Interpretability in Mobile Robotics.
IEEE Trans. Fuzzy Syst.
Manuel Mucientes, Jorge Casillas
2007 J jnl
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reason.
Jorge Casillas, Francisco Herrera, Raúl Pérez, María José del Jesus, Pedro Villar
2006 — conf
Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model.
ICNC (1)
Alicia D. Benítez, Jorge Casillas
2006 J jnl
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput.
Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
2006 B conf
Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models.
FUZZ-IEEE
Jorge Casillas, Luciano Sánchez
2005 J jnl
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell.
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Antonio González, Francisco Herrera
2005 J jnl
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst.
Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera
2005 J jnl
Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm.
Int. J. Intell. Syst.
Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera
2005 — conf
Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models.
EUSFLAT Conf.
Jorge Casillas, Oscar Delgado, Francisco José Martínez-López
2004 B conf
Obtaining a fuzzy controller with high interpretability in mobile robots navigation.
FUZZ-IEEE
Manuel Mucientes, Jorge Casillas
2003 J jnl
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms.
Appl. Intell.
Rafael Alcalá, José Manuel Benítez, Jorge Casillas, Oscar Cordón, Raúl Pérez
2003 — conf
Genetic learning of accurate TS models based on local fuzzy prototyping.
EUSFLAT Conf.
Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera
2003 J jnl
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning.
Integr. Comput. Aided Eng.
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
2002 J jnl
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
Jorge Casillas, Oscar Cordón, Francisco Herrera
2002 Misc conf
Hybridizing Hierarchical and Weighted Linguistic Rules.
SAC
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir
2002 — conf
Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology.
IBERAMIA
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
2002 J jnl
Some relationships between fuzzy and random set-based classifiers and models.
Int. J. Approx. Reason.
Luciano Sánchez, Jorge Casillas, Oscar Cordón, María José del Jesus
2001 — conf
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions.
EUSFLAT Conf.
Jorge Casillas, Oscar Cordón, Francisco Herrera
2001 J jnl
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems.
J. Intell. Fuzzy Syst.
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
2001 — conf
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems.
Artificial Evolution
Jorge Casillas, Oscar Cordón, Francisco Herrera, Juan Julián Merelo Guervós
2001 J jnl
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci.
Jorge Casillas, Oscar Cordón, María José del Jesus, Francisco Herrera
2001 — conf
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
EUSFLAT Conf.
Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera
1999 — conf
Tuning fuzzy logic controllers for energy efficiency consumption in buildings.
EUSFLAT-ESTYLF Joint Conf.
Rafael Alcalá, Jorge Casillas, Antonio González