Jorge Casillas Barranquero


Researcher Profile

Total From 2016:
Citas Total: 4061 From 2016: 1304
Índice H Total: 30 From 2016: 21
Índice i10 Total: 67 From 2016: 35

Papers (142)

Title Authors Year
Predictive capability testing and sensitivity analysis of a model for building energy efficiency G Kalogeras, S Rastegarpour, C Koulamas, AP Kalogeras, J Casillas, .... 2020
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees A Valdivia, J Sánchez-Monedero, J Casillas. 2020
Aprendizaje semi-supervisado para descubrir la escala de tiempo promedio de graduación de estudiantes universitarios J Guanin-Fajardo, J Casillas, W Chiriboga-Casanova. 2019
Assessing web sites quality: A systematic literature review by text and association rules mining R Rekik, I Kallel, J Casillas, AM Alimi. 2018
Suitability analysis of modeling and assessment approaches in energy efficiency in buildings C Koulamas, AP Kalogeras, R Pacheco-Torres, J Casillas, L Ferrarini. 2018
Adaptive fuzzy partitions for evolving association rules in big data stream E Ruiz, J Casillas. 2018
Alzheimer’s disease computer-aided diagnosis: histogram-based analysis of regional MRI volumes for feature selection and classification E Ruiz, J Ramírez, JM Górriz, J Casillas, .... 2018
Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction J Casillas, S Wang, X Yao. 2018
Reglas de Asociación en Flujos de Datos para Monitorizar Actividad de Teléfonos Móviles E Ruiz, J Casillas. 2018
Energy consumption modeling by machine learning from daily activity metering in a hospital E Ruiz, R Pacheco-Torres, J Casillas. 2017
Modelo para la estimación del esfuerzo de desarrollo en tareas de ingeniería de proyectos de software empleando aprendizaje automático HR Velarde Bedregal. 2017
Evolving Association Streams JC A. Sancho-Asensio, A. Orriols-Puig. 2016
Using multiple criteria decision making approaches to assess the quality of web sites R Rekik, I Kallel, J Casillas, AM Alimi. 2016
Software Development Effort Estimation based-on multiple classifier system and Lines of Code H Velarde, C Santiesteban, A Garcia, J Casillas. 2016
Analyzing the Effect of Variables in the Software Development Effort Estimation H Velarde, C Santiesteban, A Garcia, J Casillas. 2016
Marketing Intelligent Systems FJ Martínez‐lópez, J Casillas. 2015
KDD/Data Mining FJ Martínez‐López, J Casillas. 2015
Adapt-Traf: An adaptive multiagent road traffic management system based on hybrid ant-hierarchical fuzzy model HM Kammoun, I Kallel, J Casillas, A Abraham, AM Alimi. 2014
Artificial intelligence-based systems applied in industrial marketing: An historical overview, current and future insights FJ Martínez-López, J Casillas. 2013
A soft-computing-based method for the automatic discovery of fuzzy rules in databases: Uses for academic research and management support in marketing A Orriols-Puig, FJ Martínez-López, J Casillas, N Lee. 2013
Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems AD Benítez, J Casillas. 2013
Unsupervised KDD to creatively support managers' decision making with fuzzy association rules: A distribution channel application A Orriols-Puig, FJ Martínez-López, J Casillas, N Lee. 2013
Management Intelligent Systems: Second International Symposium J Casillas, FJ Martínez-López, R Vicari, F De la Prieta. 2013
Optimization and Control of HVAC Systems R Alcalá, JM Benítez, J Casillas, JL Castro, O Cordón, A González, .... 2012
Management Intelligent Systems J Casillas, FJ Martínez-López, JM Corchado Rodríguez. 2012
Hybrid genetic-fuzzy system modeling application in innovation management K Kilic, J Casillas. 2012
MarkiS: A Marketing Intelligent System Software Application for Causal Modeling FJ Marín, J Casillas, FJ Martínez-López. 2012
Fuzzy knowledge representation study for incremental learning in data streams and classification problems A Orriols-Puig, J Casillas. 2011
Improvement of the road traffic management by an ant-hierarchical fuzzy system HM Kammoun, I Kallel, AM Alimi, J Casillas. 2011
Learning intelligent controllers for path-following skills on snake-like robots FJ Marín, J Casillas, M Mucientes, AA Transeth, SA Fjerdingen, .... 2011
Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems M González, J Casillas, C Morell. 2011
Fuzzy learning controller for trajectory tracking in multi-joint robots (in Spanish)/Aprendizaje de Controladores Difusos para Seguimiento de Trayectorias en Robots … FJ Marín, J Casillas, M Mucientes, AA Transeth, SA Fjerdingen, .... 2011
Analyzing strengths and weaknesses of fuzzy association rules algorithms D Moreno Conejo, J Casillas. 2011
Aprendizaje de Controladores Difusos para Seguimiento de Trayectorias en Robots Multiarticulados FJ Marın, J Casillas, M Mucientes, AA Transeth, SA Fjerdingen, .... 2011
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems M Mucientes, J Alcalá-Fdez, R Alcalá, J Casillas. 2010
An adaptive vehicle guidance system instigated from ant colony behavior HM Kammoun, I Kallel, AM Alimi, J Casillas. 2010
Marketing intelligent systems using soft computing: Managerial and research applications J Casillas, FJM López. 2010
Automatic discovery of potential causal structures in marketing databases based on fuzzy association rules A Orriols-Puig, J Casillas, FJ Martínez-López. 2010
SIFT-SS: an advanced steady-state multi-objective genetic fuzzy system M González, J Casillas, C Morell. 2010
Learning weighted linguistic rules to control an autonomous robot M Mucientes, R Alcalá, J Alcalá‐Fdez, J Casillas. 2009
Genetic learning of fuzzy rules based on low quality data L Sánchez, I Couso, J Casillas. 2009
Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling J Casillas, FJ Martínez-López. 2009
Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems J Casillas, P Martínez, AD Benítez. 2009
Marketing Intelligent Systems for consumer behaviour modelling by a descriptive induction approach based on Genetic Fuzzy Systems FJ Martínez-López, J Casillas. 2009
Special issue on “Genetic Fuzzy Systems: Recent Developments and Future Directions” J Casillas, B Carse. 2009
Unsupervised learning of fuzzy association rules for consumer behavior modeling A Orriols-Puig, J Casillas, F Martínez-López. 2009
A knowledge discovery method based on genetic-fuzzy systems for obtaining consumer behaviour patterns. An empirical application to a web-based trust model J Casillas, FJ Martínez-López. 2009
Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. J Casillas. 2009
Evolution of interesting association rules online with learning classifier systems A Orriols-Puig, J Casillas. 2009
Genetic learning of serial hierarchical fuzzy systems for large-scale problems AD Benıtez, J Casillas. 2009
Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems J Casillas. 2009
Sistemas inteligentes de marketing para modelado causal FJ Martínez-López, J Casillas, FJ Martínez. 2009
Aprendizaje Evolutivo de Sistemas Difusos Jerarquicos en Serie AD Benıtez, J Casillas. 2009
Genetic-based machine learning systems are competitive for pattern recognition A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
Fuzzy-UCS: a Michigan-style learning fuzzy-classifier system for supervised learning A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
First approach toward on-line evolution of association rules with learning classifier systems A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems J Casillas, A Orriols-Puig, E Bernadó-Mansilla. 2008
A road traffic MultiAgent simulation using TurtleKit under MadKit HM Kammoun, I Kallel, J Casillas, AM Alimi. 2008
A comparative study of several genetic-based supervised learning systems A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
Reinforcement learning by an accuracy-based fuzzy classifier system with real-valued output J Casillas, B Carse, L Bull. 2008
Approximate versus linguistic representation in fuzzy-UCS A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
Modelado causal en marketing mediante aprendizaje no supervisado de reglas de asociación difusas A Orriols-Puig, J Casillas, FJ Martınez-López. 2008
KDD in Marketing with Genetic Fuzzy Systems J Casillas, FJ Martínez-López. 2008
Genetic-based machine learning systems are competitive for pattern recognition, Evol A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2008
Preface: Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off J Casillas, F Herrera, R Pérez, MJ del Jesus, P Villar. 2007
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule‐based systems R Alcalá, J Alcalá‐Fdez, J Casillas, O Cordón, F Herrera. 2007
Fuzzy-XCS: A Michigan genetic fuzzy system J Casillas, B Carse, L Bull. 2007
Quick design of fuzzy controllers with good interpretability in mobile robotics M Mucientes, J Casillas. 2007
Modeling vague data with genetic fuzzy systems under a combination of crisp and imprecise criteria L Sánchez, I Couso, J Casillas. 2007
Fuzzy-UCS: preliminary results A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2007
Consistent, complete and compact generation of DNF-type fuzzy rules by a Pittsburgh-style genetic algorithm J Casillas, P Martinez. 2007
Aprendizaje supervisado de reglas difusas mediante un sistema clasificador evolutivo estilo Michigan A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2007
Optimización Continua mediante la Evolución de Funciones de Densidad de Probabilidad con un Modelo de Dos Islas AD Benıtez, J Casillas. 2007
Extracción del conocimiento mediante un Algoritmo Genético Multiobjetivo Estilo Pittsburgh y Reglas Lingüísticas Tipo DNF OD Mohatar, JC Barranquero. 2007
Hybrid learning models to get the interpretability–accuracy trade-off in fuzzy modeling R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera. 2006
A multiobjective genetic fuzzy system with imprecise probability fitness for vague data L Sánchez, I Couso, J Casillas. 2006
Knowledge extraction from fuzzy data for estimating consumer behavior models J Casillas, L Sánchez. 2006
Evolving fuzzy rules with UCS: Preliminary results A Orriols-Puig, J Casillas, E Bernadó-Mansilla. 2006
Continuous optimization by evolving probability density functions with a two-island model AD Benítez, J Casillas. 2006
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction J Casillas, O Cordón, MJ Del Jesus, F Herrera. 2005
Genetic tuning of fuzzy rule deep structures for linguistic modeling J Casillas, O Cordon, MJ Del Jesus, F Herrera. 2005
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems R Alcalá, J Casillas, O Cordón, A González, F Herrera. 2005
Learning cooperative linguistic fuzzy rules using the best–worst ant system algorithm J Casillas, O Cordón, I Fernández de Viana, F Herrera. 2005
Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models. J Casillas, O Delgado, FJ Martínez-López. 2005
Learning fuzzy robot controllers to follow a mobile object M Mucientes, J Casillas. 2005
Optimización Continua Multimodal mediante Evolución de Funciones de Densidad de Probabilidad J Casillas, AD Benítez. 2005
Learning weighted linguistic rules for mobile robotics M Mucientes, R Alcalá, J Alcalá-Fdez, J Casillas. 2005
Una Metodología de KDD basada en Sistemas Difusos Genéticos Multiobjetivo para Modelado Causal en Marketing J Casillas, Ó Delgado, FJ Martínez-López. 2005
Accuracy improvements in linguistic fuzzy modeling F Herrera, O Cordon, L Magdalena, J Casillas. 2004
A hybrid learning process for the knowledge base of a fuzzy rule-based system J Casillas, O Cordón, F Herrera, P Villar. 2004
Fuzzy association rules for estimating consumer behaviour models and their application to explaining trust in internet shopping J Casillas, F Martinez-Lopez, F Martinez. 2004
Obtaining a fuzzy controller with high interpretability in mobile robots navigation M Mucientes, J Casillas. 2004
Fuzzy XCS: An accuracy-based fuzzy classifier system J Casillas, B Carse, L Bull, B Carse. 2004
Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas J Casillas, O Cordón, F Herrera, P Villar. 2004
Fuzzy control of HVAC systems optimized by genetic algorithms R Alcalá, JM Benítez, J Casillas, O Cordón, R Pérez. 2003
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning R Alcalá, J Casillas, O Cordón, F Herrera. 2003
Genetic learning of accurate TS models based on local fuzzy prototyping. R Alcalá, J Alcalá-Fdez, J Casillas, O Cordón, F Herrera. 2003
Applying rule weight derivation to obtain cooperative rules R Alcalá, J Casillas, O Cordón, F Herrera. 2003
Multicriteria Genetic Tuning for the Optimization and Control of HVAC Systems R Alcala, JM Benitez, J Castillas, JL Castro, O Cordon, A Gonzales, .... 2003
Interpretability issues in fuzzy modeling J Casillas, Ó Cordón, F Herrera, L Magdalena. 2003
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview J Casillas, O Cordon, F Herrera, L Magdalena. 2003
COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy J Casillas, O Cordón, F Herrera. 2003
Some relationships between fuzzy and random set-based classifiers and models L Sánchez, J Casillas, O Cordón, M Jose del Jesus. 2002
Improving simple linguistic fuzzy models by means of the weighted COR methodology R Alcalá, J Casillas, O Cordón, F Herrera. 2002
Hybridizing Hierarchical and Weighted Linguistic Rules R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. 2002
COR: A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2002
Trade-off between accuracy and interpretability in fuzzy rule-based modelling J Casillas, O Cordon, F Herrera, L Magdalena. 2002
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology J Casillas, O Cordón, F Herrera. 2002
Finding a balance between interpretability and accuracy in fuzzy rule-based modelling: An overview J Casillas, O Cordon, F Herrera, L Magdalena. 2002
Improvements to the COR Methodology by means of Weighted Fuzzy Rules R Alcalá, J Casillas, O Cordón, F Herrera. 2002
Hybridization of Components to Improve the Accuracy in Linguistic Fuzzy Modeling J Casillas, O Cordón, F Herrera. 2002
Different approaches to induce cooperation in fuzzy linguistic models under the COR methodology, Technologies for constructing intelligent systems: Tasks J Casillas, O Cordón, F Herrera. 2002
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems J Casillas, O Cordón, MJ Del Jesus, F Herrera. 2001
Building fuzzy graphs: features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems R Alcalá, J Casillas, O Cordón, F Herrera. 2001
Improvement to the cooperative rules methodology by using the ant colony system algorithm. R Alcalá, J Casillas, O Cordón, F Herrera. 2001
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. R Alcalá, J Casillas, O Cordón, F Herrera. 2001
Cooperative coevolution for learning fuzzy rule-based systems J Casillas, O Cordón, F Herrera, JJ Merelo. 2001
A multicriteria genetic tuning for fuzzy logic controllers R Alcalá Fernández, J Casillas Barranquero, JL Castro Peña, .... 2001
Genetic tuning of fuzzy rule-based systems integrating linguistic hedges J Casillas, O Cordón, F Herrera, MJ Del Jesus. 2001
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. J Casillas, O Cordón, F Herrera, JJ Merelo. 2001
Aprendizaje cooperativo para modelado lingüístico flexible basado en reglas difusas: interpretabilidad y precisión JC Barranquero. 2001
Learning TSK Fuzzy Rule-Based Systems from Approximate Ones by means of MOGUL Methodology R Alcala, J Casillas, O Cordon, F Herrera. 2000
Learning fuzzy rules using ant colony optimization algorithms J Casillas, O Cordón, F Herrera. 2000
Learning and tuning fuzzy rule-based systems for linguistic modeling R Alcalá, O Cordón, J Casillas, F Herrera, SJI Zwir. 2000
Improving the Wang and Mendel’s fuzzy rule learning method by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2000
Learning TSK rule-based system from approximate ones by mean of MOGUL methodology R Alcala, J Casillas, O Cordon, F Herrera. 2000
A methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules J Casillas, O Cordón, F Herrera. 2000
Can linguistic modeling be as accurate as fuzzy modeling without losing its description to a high degree J Casillas, O Cordón, F Herrera. 2000
Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas J Casillas, O Cordón, F Herrera. 2000
Approximate Mamdani-type fuzzy rule-based systems: Features and taxonomy of learning methods R Alcalá, J Casillas, O Cordón, F Herrera. 1999
Tuning fuzzy logic controllers for energy efficiency consumption in buildings. R Alcalá, J Casillas, A González. 1999
Fuzzy Logic Controllers for energy efficiency consumption in buildings J Casillas. 1997

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