Jorge Casillas Barranquero
Contact
casillas@decsai.ug1ZAv0KD8u52dr.es
Organization
UGR| Total | From 2019: | |
|---|---|---|
| Citas | Total: 5054 | From 2019: 1335 |
| Índice H | Total: 34 | From 2019: 19 |
| Índice i10 | Total: 73 | From 2019: 31 |
Papers (150)
| Title | Authors | Year |
|---|---|---|
| Bias and Discrimination in Machine Decision-Making Systems | J Casillas. | 2024 |
| Predicting Academic Success of College Students Using Machine Learning Techniques | JH Guanin-Fajardo, J Guaña-Moya, J Casillas. | 2024 |
| Predicting Academic Success of College Students Using Machine Learning Techniques. Data 2024, 9, x | JH Guanin-Fajardo, J Guaña-Moya, J Casillas. | 2024 |
| Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning | T Konishi, N Masuyama, J Casillas, Y Nojima. | 2024 |
| Adopción del aprendizaje combinado en la educación superior: percepción y evaluación del profesorado | JH Guanin-Fajardo, J Casillas, AH Elizondo-Saltos. | 2023 |
| How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness | A Valdivia, J Sánchez‐Monedero, J Casillas. | 2021 |
| A Streaming Approach for Association Rule Analysis of Spanish Politics on Twitter | PJ López, E Ruiz, J Casillas. | 2021 |
| Facing Many Objectives for Fairness in Machine Learning | D Villar, J Casillas. | 2021 |
| 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 |
| Assessing the boundaries of accuracy and fairness | 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 |
| Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules. | A Orriols-Puig, J Casillas, FJ Martínez-López. | 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 |
| www. elsevier. com/locate/fss Genetic learning of fuzzy rules based on low quality data | L Sánchez, I Couso, 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 |
| Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems | R Alcalá Fernández, J Alcalá Fernández, J Casillas 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 |
| Special Issue on Genetic Fuzzy Systems and the Interpretability–Accuracy Trade-off | J Casillas Barranquero, F Herrera Triguero, FGR Pérez Rodríguez, .... | 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 |
| Hybrid learning models to get the interpretability-Accuracy trade-off in fuzzy modeling | J Alcala-Fdez, J Casillas, O Cordon, F Herrera. | 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 |
| LEARNING AND TUNING FUZZY | R ALCALÁ, J CASILLAS, O CORDÓN, F HERRERA, SJI ZWIR. | 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 |
| Techniques for learning and tuning fuzzy rule-based systems for linguistic modeling and their application | R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. | 1999 |
| Fuzzy Logic Controllers for energy efficiency consumption in buildings | J Casillas. | 1997 |
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