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Rafael Alcalá
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2020 – today
- 2024
- [j46]Álvaro Torres-Martos
, Augusto Anguita-Ruiz
Multiomics and eXplainable artificial intelligence for decision support in insulin resistance early diagnosis: A pediatric population-based longitudinal study. Artif. Intell. Medicine 156: 102962 (2024) - [c31]María Arteaga, Álvaro Torres-Martos, Augusto Anguita-Ruiz, Jesús Alcalá-Fdez, Rafael Alcalá, María José Gacto:
Prediction of Continuous Targets by Explainable Imbalanced Regression from Omics Data in Childhood Obesity. EXPLIMED@ECAI 2024 - 2023
- [j45]María Arteaga
Enhancing soft computing techniques to actively address imbalanced regression problems. Expert Syst. Appl. 234: 121011 (2023) - [j44]Carmen Biedma-Rdguez
Learning positive-negative rule-based fuzzy associative classifiers with a good trade-off between complexity and accuracy. Fuzzy Sets Syst. 465: 108511 (2023) - 2022
- [j43]Alberto Segura-Delgado
Mining high average-utility sequential rules to identify high-utility gene expression sequences in longitudinal human studies. Expert Syst. Appl. 193: 116411 (2022) - [j42]Carmen Biedma-Rdguez
Transparent but Accurate Evolutionary Regression Combining New Linguistic Fuzzy Grammar and a Novel Interpretable Linear Extension. Int. J. Fuzzy Syst. 24(7): 3082-3103 (2022) - [c30]Álvaro Torres-Martos
Human Multi-omics Data Pre-processing for Predictive Purposes Using Machine Learning: A Case Study in Childhood Obesity. IWBBIO (2) 2022: 359-374 - 2021
- [c29]Carmen Biedma-Rdguez, María José Gacto, Rafael Alcalá
Meta-Fuzzy Items for Fuzzy Association Rules. FUZZ-IEEE 2021: 1-6 - 2020
- [j41]Augusto Anguita-Ruiz
eXplainable Artificial Intelligence (XAI) for the identification of biologically relevant gene expression patterns in longitudinal human studies, insights from obesity research. PLoS Comput. Biol. 16(4) (2020) - [j40]Alberto Segura-Delgado, María José Gacto
Temporal association rule mining: An overview considering the time variable as an integral or implied component. WIREs Data Mining Knowl. Discov. 10(4) (2020)
2010 – 2019
- 2019
- [j39]María José Gacto
Experimental Study on 164 Algorithms Available in Software Tools for Solving Standard Non-Linear Regression Problems. IEEE Access 7: 108916-108939 (2019) - [c28]Augusto Anguita-Ruiz
Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans. IWBBIO (2) 2019: 318-329 - 2018
- [j38]Rafael Alcalá
Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017). WIREs Data Mining Knowl. Discov. 8(2) (2018) - 2017
- [j37]Jesús Alcalá-Fdez, Rafael Alcalá
Evolutionary Fuzzy Rule-Based Methods for Monotonic Classification. IEEE Trans. Fuzzy Syst. 25(6): 1376-1390 (2017) - 2014
- [j36]Michela Fazzolari, Rafael Alcalá
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. Appl. Soft Comput. 24: 470-481 (2014) - [j35]María José Gacto
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems. Inf. Sci. 276: 63-79 (2014) - [j34]Marta Galende
Comparison and design of interpretable linguistic vs. scatter FRBSs: Gm3m generalization and new rule meaning index for global assessment and local pseudo-linguistic representation. Inf. Sci. 282: 190-213 (2014) - 2013
- [j33]Rafael Alcalá
Special Issue on "Evolutionary Fuzzy Systems" EFSs. Knowl. Based Syst. 54: 1-2 (2013) - [j32]Michela Fazzolari, Bruno Giglio, Rafael Alcalá
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowl. Based Syst. 54: 32-41 (2013) - [j31]Michela Fazzolari, Rafael Alcalá
A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Trans. Fuzzy Syst. 21(1): 45-65 (2013) - [c27]María José Gacto, Marta Galende
Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. FUZZ-IEEE 2013: 1-7 - [c26]Michela Fazzolari, Rafael Alcalá
Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities. GEFS 2013: 44-51 - 2012
- [j30]María José Gacto
A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems. Appl. Intell. 36(2): 330-347 (2012) - [j29]Francisco Chávez de la O
Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. Appl. Intell. 36(2): 407-423 (2012) - [j28]Rafael Alcalá
Special Issue on Evolutionary Fuzzy Systems. Int. J. Comput. Intell. Syst. 5(2): 209-211 (2012) - [j27]Francisco Chávez de la O
Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. Int. J. Comput. Intell. Syst. 5(2): 368-386 (2012) - [c25]Bruno Giglio, Francesco Marcelloni
A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers. FUZZ-IEEE 2012: 1-8 - 2011
- [j26]María José Gacto
Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures. Inf. Sci. 181(20): 4340-4360 (2011) - [j25]Yusuke Nojima
Special issue on evolutionary fuzzy systems. Soft Comput. 15(12): 2299-2301 (2011) - [j24]Rafael Alcalá
Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions. Soft Comput. 15(12): 2303-2318 (2011) - [j23]Rafael Alcalá
A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Trans. Fuzzy Syst. 19(4): 666-681 (2011) - [j22]Jesús Alcalá-Fdez
A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning. IEEE Trans. Fuzzy Syst. 19(5): 857-872 (2011) - [c24]Francisco Fernández, Francisco Chávez de la O
Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation 2011: 2571-2577 - [c23]Francisco Chávez de la O
Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. FUZZ-IEEE 2011: 256-263 - [c22]María José Gacto, Rafael Alcalá
Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system. GEFS 2011: 73-80 - [c21]María José Gacto, Rafael Alcalá
A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. WILF 2011: 99-106 - 2010
- [j21]Manuel Mucientes
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Syst. Appl. 37(2): 1471-1493 (2010) - [j20]María José Gacto
Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Trans. Fuzzy Syst. 18(3): 515-531 (2010) - [c20]Francisco Chávez de la O
Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. FUZZ-IEEE 2010: 1-8 - [c19]Jesús Alcalá-Fdez, Rafael Alcalá
A fuzzy associative classification system with genetic rule selection for high-dimensional problems. GEFS 2010: 33-38 - [c18]María José Gacto, Rafael Alcalá
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. IEA/AIE (2) 2010: 228-238 - [p3]Ignacio Robles, Rafael Alcalá
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. Parallel and Distributed Computational Intelligence 2010: 235-261
2000 – 2009
- 2009
- [j19]Rafael Alcalá
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. Appl. Intell. 31(1): 15-30 (2009) - [j18]Rafael Alcalá
Special issue on genetic fuzzy systems: new advances. Evol. Intell. 2(1-2): 1-3 (2009) - [j17]Ignacio Robles, Rafael Alcalá
Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems. Evol. Intell. 2(1-2): 5-19 (2009) - [j16]Jesús Alcalá-Fdez
Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms. Fuzzy Sets Syst. 160(7): 905-921 (2009) - [j15]Manuel Mucientes
Learning weighted linguistic rules to control an autonomous robot. Int. J. Intell. Syst. 24(3): 226-251 (2009) - [j14]María José Gacto
Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems. Soft Comput. 13(5): 419-436 (2009) - [j13]Rafael Alcalá
A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems. IEEE Trans. Fuzzy Syst. 17(5): 1106-1122 (2009) - [c17]María José Gacto, Rafael Alcalá, Francisco Herrera:
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. IFSA/EUSFLAT Conf. 2009: 1146-1151 - [c16]Ignacio Robles, Rafael Alcalá, José Manuel Benítez, Francisco Herrera:
Distributed Genetic Tuning of Fuzzy Rule-Based Systems. IFSA/EUSFLAT Conf. 2009: 1740-1744 - [c15]Rafael Alcalá
Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection. FUZZ-IEEE 2009: 1718-1723 - [c14]María José Gacto
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. ISDA 2009: 109-114 - 2008
- [c13]Pietro Ducange
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. HAIS 2008: 747-754 - [p2]Rafael Alcalá
On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases 2008: 91-107 - 2007
- [j12]Rafael Alcalá
Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation. Int. J. Approx. Reason. 44(1): 45-64 (2007) - [j11]Rafael Alcalá
Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems. Int. J. Intell. Syst. 22(9): 909-941 (2007) - [j10]Rafael Alcalá
A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 15(5): 539-557 (2007) - [j9]Rafael Alcalá
Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation. Soft Comput. 11(5): 401-419 (2007) - [j8]Oscar Cordón
Guest Editorial Genetic Fuzzy Systems: What's Next? An Introduction to the Special Section. IEEE Trans. Fuzzy Syst. 15(4): 533-535 (2007) - [j7]Rafael Alcalá
A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection. IEEE Trans. Fuzzy Syst. 15(4): 616-635 (2007) - [c12]Rafael Alcalá
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. FUZZ-IEEE 2007: 1-6 - [c11]Rafael Alcalá
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. FUZZ-IEEE 2007: 1-6 - 2006
- [j6]Rafael Alcalá
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006) - [c10]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. IEA/AIE 2006: 452-461 - [c9]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco José Berlanga, María José Gacto, Francisco Herrera:
Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. MDAI 2006: 317-328 - 2005
- [j5]Rafael Alcalá
A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems. Eng. Appl. Artif. Intell. 18(3): 279-296 (2005) - [c8]Rafael Alcalá, Jesús Alcalá-Fdez, Francisco Herrera, José Otero:
Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. FUZZ-IEEE 2005: 797-802 - 2004
- [c7]Rafael Alcalá
Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation. FUZZ-IEEE 2004: 233-238 - 2003
- [j4]Rafael Alcalá
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18(2): 155-177 (2003) - [j3]Rafael Alcalá, Jorge Casillas, Oscar Cordón
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning. Integr. Comput. Aided Eng. 10(4): 343-355 (2003) - [j2]Rafael Alcalá
Linguistic modeling with hierarchical systems of weighted linguistic rules. Int. J. Approx. Reason. 32(2-3): 187-215 (2003) - [c6]Rafael Alcalá, Jesús Alcalá-Fdez, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Genetic learning of accurate TS models based on local fuzzy prototyping. EUSFLAT Conf. 2003: 105-108 - [p1]Rafael Alcalá, Oscar Cordón
Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. Modelling with Words 2003: 44-63 - 2002
- [c5]Rafael Alcalá, Jorge Casillas, Oscar Cordón
Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302 - [c4]Rafael Alcalá, Oscar Cordón, Francisco Herrera, Igor Zwir:
Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. ICEIS 2002: 325-333 - [c3]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir:
Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816 - 2001
- [j1]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems. J. Intell. Fuzzy Syst. 11(3-4): 99-119 (2001) - [c2]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera:
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. EUSFLAT Conf. 2001: 237-240
1990 – 1999
- 1999
- [c1]Rafael Alcalá, Jorge Casillas, Antonio González:
Tuning fuzzy logic controllers for energy efficiency consumption in buildings. EUSFLAT-ESTYLF Joint Conf. 1999: 103-106
Coauthor Index
Jesús Alcalá-Fdez
aka: Jesús Alcalá Fernández
aka: Jesús Alcalá Fernández
[j36] [j35] [j33] [j32] [j31] [c27] [c26] [j30] [j29] [j28] [c25] [j26] [j25] [j24] [j23] [j22] [c24] [c23] [c22] [c21] [j20] [c20] [c19] [c18] [p3] [j19] [j17] [j16] [j14] [j13] [c17] [c16] [c15] [c14] [c13] [p2] [j12] [j11] [j10] [j9] [j7] [c12] [c11] [j6] [c10] [c9] [j5] [c8] [c7] [j3] [j2] [c6] [p1] [c5] [c4] [c3] [j1] [c2]
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last updated on 2024-12-10 21:41 CET by the dblp team
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