Rafael Alcalá Fernández
Contact
alcala@decsAKjTskK@Lhai.ugr.es
Organization
UGR| Total | From 2019: | |
|---|---|---|
| Citas | Total: 5059 | From 2019: 1518 |
| Índice H | Total: 29 | From 2019: 20 |
| Índice i10 | Total: 58 | From 2019: 29 |
Papers (119)
| Title | Authors | Year |
|---|---|---|
| Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity | Á Torres-Martos, M Bustos-Aibar, A Ramírez-Mena, S Cámara-Sánchez, .... | 2023 |
| Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies | A Segura-Delgado, A Anguita-Ruiz, R Alcalá, J Alcalá-Fdez. | 2022 |
| Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity | Á Torres-Martos, A Anguita-Ruiz, M Bustos-Aibar, S Cámara-Sánchez, .... | 2022 |
| Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension | C Biedma-Rdguez, MJ Gacto, A Anguita-Ruiz, J Alcalá-Fdez, R Alcalá. | 2022 |
| Meta-Fuzzy Items for Fuzzy Association Rules | C Biedma-Rdguez, MJ Gacto, R Alcalá, J Alcalá-Fdez. | 2021 |
| eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research | A Anguita-Ruiz, A Segura-Delgado, R Alcalá, CM Aguilera, J Alcalá-Fdez. | 2020 |
| Temporal association rule mining: An overview considering the time variable as an integral or implied component | A Seguro-Delgado, MJ Gacto, R Alcalá, J Alcalá-Fdez. | 2020 |
| Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems | MJ Gacto, JM Soto-Hidalgo, J Alcalá-Fdez, R Alcalá. | 2019 |
| Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans | A Anguita-Ruiz, A Segura-Delgado, R Alcala, CM Aguilera, .... | 2019 |
| Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007–2017) | R Alcalá, MJ Gacto, J Alcalá‐Fdez. | 2018 |
| Analyzing gender disparities in STEAM: A Case Study from Bioinformatics Workshops in the University of Granada | E Ruiz, C del Val, R Alcalá, A Fernández, C Cano, W Fajardo, .... | 2018 |
| Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification | J Alcala-Fdez, R Alcala, S Gonzalez, Y NOJIMA, S Garcia. | 2017 |
| Can Bioinformatics close the gender gap in STEM skills?: Reflections from the I Bioinformatics UGR Workshop | C del Val, E Ruiz, R Alcalá, A Fernández, C Cano, W Fajardo, .... | 2017 |
| HYBRID COMPUTATIONAL INTELLIGENCE | A Fernández, R Alcalá, JM Benítez, F Herrera. | 2015 |
| METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems | MJ Gacto, M Galende, R Alcalá, F Herrera. | 2014 |
| Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation | M Galende, MJ Gacto, G Sainz, R Alcalá. | 2014 |
| A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification … | M Fazzolari, R Alcalá, F Herrera. | 2014 |
| Obtaining accurate TSK fuzzy rule-based systems by multi-objective evolutionary learning in high-dimensional regression problems | MJ Gacto, M Galende, R Alcalá, F Herrera. | 2013 |
| A review of the application of multiobjective evolutionary fuzzy systems: Current status and further directions | M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera. | 2013 |
| A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off | M Fazzolari, B Giglio, R Alcalá, F Marcelloni, F Herrera. | 2013 |
| Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities | M Fazzolari, R Alcala, Y Nojima, H Ishibuchi, F Herrera. | 2013 |
| Special Issue on “Evolutionary Fuzzy Systems” EFSs | R Alcalá, Y Nojima, H Ishibuchi, F Herrera. | 2013 |
| A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems | MJ Gacto, R Alcalá, F Herrera. | 2012 |
| Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems | F Chávez, F Fernández, MJ Gacto, R Alcala. | 2012 |
| Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments | F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, G Olague, F Herrera. | 2012 |
| A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers | B Giglio, F Marcelloni, M Fazzolari, R Alcala, F Herrera. | 2012 |
| Special Issue on Evolutionary Fuzzy Systems INTRODUCTION | R Alcala, Y Nojima, H Ishibuchi, F Herrera. | 2012 |
| Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser | F Chávez, F Fernández, R Alcalá, J Alcalá, F Herrera. | 2012 |
| Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures | MJ Gacto, R Alcalá, F Herrera. | 2011 |
| A fast and scalable multiobjective genetic fuzzy system for linguistic fuzzy modeling in high-dimensional regression problems | R Alcalá, MJ Gacto, F Herrera. | 2011 |
| Evolutionary multi-objective algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and air conditioning … | MJ Gacto, R Alcalá, F Herrera. | 2011 |
| A double axis classification of interpretability measures for linguistic fuzzy rule-based systems | MJ Gacto, R Alcalá, F Herrera. | 2011 |
| A fuzzy association rule-based classification model for high-dimensional problems with genetic rule selection and lateral tuning | J Alcala-Fdez, R Alcala, F Herrera. | 2011 |
| Evolutionary learning of a laser pointer detection fuzzy system for an environment control system | F Chávez, F Fernández, R Alcalá, J Alcalá-Fdez, F Herrera. | 2011 |
| Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions | R Alcalá, Y Nojima, F Herrera, H Ishibuchi. | 2011 |
| Musical genre classification by means of fuzzy rule-based systems: A preliminary approach | F Fernández, F Chávez, R Alcalá, F Herrera. | 2011 |
| Special issue on evolutionary fuzzy systems | Y Nojima, R Alcalá, H Ishibuchi, F Herrera. | 2011 |
| Integration of an index to preserve the semantic interpretability in the multiobjective evolutionary rule selection and tuning of linguistic fuzzy systems | MJ Gacto, R Alcalá, F Herrera. | 2010 |
| Analysis of the performance of a semantic interpretability-based tuning and rule selection of fuzzy rule-based systems by means of a multi-objective evolutionary algorithm | MJ Gacto, R Alcalá, F Herrera. | 2010 |
| A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems | M Mucientes, J Alcalá-Fdez, R Alcalá, J Casillas. | 2010 |
| Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems | F Chávez, F Fernández, J Alcalá-Fdez, R Alcalá, F Herrera, G Olague. | 2010 |
| A fuzzy associative classification system with genetic rule selection for high-dimensional problems | J Alcalá-Fdéz, R Alcalá, F Herrera. | 2010 |
| On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems | I Robles, R Alcalá, J Benítez, F Herrera. | 2010 |
| Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms | J Alcalá-Fdez, R Alcalá, MJ Gacto, F Herrera. | 2009 |
| Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems | MJ Gacto, R Alcalá, F Herrera. | 2009 |
| Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2009 |
| Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm | MJ Gacto, R Alcalá, F Herrera. | 2009 |
| Learning weighted linguistic rules to control an autonomous robot | M Mucientes, R Alcalá, J Alcalá‐Fdez, J Casillas. | 2009 |
| A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems | R Alcalá, P Ducange, F Herrera, B Lazzerini, F Marcelloni. | 2009 |
| Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems | I Robles, R Alcalá, JM Benítez, F Herrera. | 2009 |
| Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection | R Alcalá, Y Nojima, F Herrera, H Ishibuchi. | 2009 |
| A Multi-objective Evolutionary Algorithm for Tuning Fuzzy Rule-Based Systems with Measures for Preserving Interpretability. | MJ Gacto, R Alcalá, F Herrera. | 2009 |
| Special issue on genetic fuzzy systems: new advances | R Alcalá, Y Nojima. | 2009 |
| Distributed Genetic Tuning of Fuzzy Rule-Based Systems. | I Robles, R Alcalá, JM Benítez, F Herrera. | 2009 |
| An improved multi-objective genetic algorithm for tuning linguistic fuzzy systems | MJ Gacto, R Alcalá, F Herrera. | 2008 |
| On the usefulness of MOEAs for getting compact FRBSs under parameter tuning and rule selection | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2008 |
| Multi-objective genetic fuzzy systems: on the necessity of including expert knowledge in the MOEA design process | MJ Gacto, R Alcala, F Herrera. | 2008 |
| Knowledge base learning of linguistic fuzzy rule-based systems in a multi-objective evolutionary framework | P Ducange, R Alcalá, F Herrera, B Lazzerini, F Marcelloni. | 2008 |
| Improvement to the cooperative rules methodology by using the ant colony system algorithm | R Alcalá, J Casillas, O Cordón, F Herrera. | 2008 |
| A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems | R Alcalá, MJ Gacto, F Herrera, J Alcalá-Fdez. | 2007 |
| Rule base reduction and genetic tuning of fuzzy systems based on the linguistic 3-tuples representation | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2007 |
| Genetic learning of membership functions for mining fuzzy association rules | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2007 |
| A multi-objective evolutionary algorithm for rule selection and tuning on fuzzy rule-based systems | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2007 |
| A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection | R Alcalá, J Alcalá-Fdez, F Herrera. | 2007 |
| Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation | R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. | 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 |
| Guest editorial genetic fuzzy systems: what's next? an introduction to the special section | O Cordon, R Alcala, J Alcala-Fdez, I Rojas. | 2007 |
| Special Issue on Genetic Fuzzy Systems: What’s Next? | O Cordón, R Alcalá, J Alcalá-Fdez, I Rojas. | 2007 |
| Aprendizaje evolutivo de los contextos de las funciones de pertenencia para extraer reglas de asociaciones difusas | JA Fernández, R Alcalá, MJG Colorado, F Herrera. | 2007 |
| Fuzzy rule reduction and tuning of fuzzy logic controllers for a HVAC system | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2006 |
| Genetic lateral and amplitude tuning with rule selection for fuzzy control of heating, ventilating and air conditioning systems | R Alcalá, J Alcala-Fdez, FJ Berlanga, MJ Gacto, F Herrera. | 2006 |
| Improving fuzzy rule-based decision models by means of a genetic 2-tuples based tuning and the rule selection | R Alcalá, J Alcalá-Fdez, FJ Berlanga, MJ Gacto, F Herrera. | 2006 |
| 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 |
| Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms | R Alcala, J Alcala-Fdez, MJ Gacto, F Herrera. | 2006 |
| Genetic lateral and amplitude tuning of membership functions for fuzzy systems | R Alcalá, J Alcalá-Fdez, MJ Gacto, F Herrera. | 2005 |
| Genetic learning of the knowledge base of a fuzzy system by using the linguistic 2-tuples representation | R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. | 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 |
| A new genetic fuzzy system based on linguistic 2-tuples to learn knowledge bases | R Alcalá, J Alcalá-Fdez, F Herrera, J Otero. | 2005 |
| Learning weighted linguistic rules for mobile robotics | M Mucientes, R Alcalá, J Alcalá-Fdez, J Casillas. | 2005 |
| Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation | R Alcala, F Herrera. | 2004 |
| Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas | J Alcalá, R Alcalá, O Cordón, F Herrera. | 2004 |
| Linguistic modeling with hierarchical systems of weighted linguistic rules | R Alcalá, JR Cano, O Cordón, F Herrera, P Villar, I Zwir. | 2003 |
| 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 |
| Combining rule weight learning and rule selection to obtain simpler and more accurate linguistic fuzzy models | R Alcalá, O Cordón, F Herrera. | 2003 |
| Applying rule weight derivation to obtain cooperative rules | R Alcalá, J Casillas, O Cordón, F Herrera. | 2003 |
| An iterative learning methodology to design hierarchical systems of linguistic rules for linguistic modeling | R Alcala, O Cordon, F Herrera, I Zwir. | 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 |
| 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 |
| Algoritmos Genéticos para el Ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios | R Alcalá, O Cordon, F Herrera. | 2002 |
| Techniques For Designing And Refining Linguistic Fuzzy Models To Improve Their Accuracy | FH R. ALCALA, J. CASILLAS, O. CORDON. | 2002 |
| Insurance market risk modeling with hierarchical Fuzzy Rule Based Systems | R Alcalá, O Cordón, F Herrera, I Zwir. | 2002 |
| Improvements to the COR Methodology by means of Weighted Fuzzy Rules | R Alcalá, J Casillas, O Cordón, F Herrera. | 2002 |
| 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 |
| A multicriteria genetic tuning for fuzzy logic controllers | R Alcalá Fernández, J Casillas Barranquero, JL Castro Peña, .... | 2001 |
| Learning and tuning fuzzy rule-based systems for linguistic modeling and their applications | R Alcalá, J Casillas, O Cordón, F Herrera, I Zwir. | 2000 |
| Learning TSK Fuzzy Rule-Based Systems from Approximate Ones by means of MOGUL Methodology | R Alcala, J Casillas, O Cordon, 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 |
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