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Jorge Casillas
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- affiliation: University of Granada, Spain
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2020 – today
- 2024
- [j29]Jorge Humberto Guanin-Fajardo
, Javier Guaña-Moya
Predicting Academic Success of College Students Using Machine Learning Techniques. Data 9(4): 60 (2024) - [c34]Takeru Konishi, Naoki Masuyama, Jorge Casillas, Yusuke Nojima:
Fairness-aware Classifier Design via Multi-objective Fuzzy Genetics-based Machine Learning. FUZZ 2024: 1-8 - 2021
- [j28]Ana Valdivia
How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness. Int. J. Intell. Syst. 36(4): 1619-1643 (2021) - [c33]David Villar, Jorge Casillas
Facing Many Objectives for Fairness in Machine Learning. QUATIC 2021: 373-386 - [c32]Pedro J. López, Elena Ruiz, Jorge Casillas
A Streaming Approach for Association Rule Analysis of Spanish Politics on Twitter. QUATIC 2021: 387-400 - 2020
- [i1]Ana Valdivia, Javier Sánchez-Monedero, Jorge Casillas:
How fair can we go in machine learning? Assessing the boundaries of fairness in decision trees. CoRR abs/2006.12399 (2020)
2010 – 2019
- 2018
- [j27]Elena Ruiz, Jorge Casillas
Adaptive fuzzy partitions for evolving association rules in big data stream. Int. J. Approx. Reason. 93: 463-486 (2018) - [j26]Rim Rekik
Assessing web sites quality: A systematic literature review by text and association rules mining. Int. J. Inf. Manag. 38(1): 201-216 (2018) - [c31]Jorge Casillas, Shuo Wang:
Concept Drift Detection in Histogram-Based Straightforward Data Stream Prediction. ICDM Workshops 2018: 878-885 - 2017
- [c30]Elena Ruiz, Rosalia Pacheco-Torres
Energy consumption modeling by machine learning from daily activity metering in a hospital. ETFA 2017: 1-7 - 2016
- [j25]Andreu Sancho-Asensio, Albert Orriols-Puig, Jorge Casillas
Evolving association streams. Inf. Sci. 334-335: 250-272 (2016) - 2013
- [j24]Alicia D. Benítez, Jorge Casillas
Multi-objective genetic learning of serial hierarchical fuzzy systems for large-scale problems. Soft Comput. 17(1): 165-194 (2013) - 2012
- [c29]Kemal Kilic, Jorge Casillas
Hybrid Genetic-Fuzzy System Modeling Application in Innovation Management. IS-MiS 2012: 25-34 - [c28]Francisco Javier Marín, Jorge Casillas
MarkiS: A Marketing Intelligent System Software Application for Causal Modeling. IS-MiS 2012: 165-174 - [e2]Jorge Casillas
Management Intelligent Systems - First International Symposium, IS-MiS 2012, Salamanca, Spain, July 11-13, 2012. Advances in Intelligent Systems and Computing 171, Springer 2012, ISBN 978-3-642-30863-5 [contents] - 2011
- [j23]Albert Orriols-Puig, Jorge Casillas
Fuzzy knowledge representation study for incremental learning in data streams and classification problems. Soft Comput. 15(12): 2389-2414 (2011) - [c27]Habib M. Kammoun
Improvement of the road traffic management by an ant-hierarchical fuzzy system. CIVTS 2011: 38-45 - [c26]Michel González, Jorge Casillas, Carlos Morell
Dealing with three uncorrelated criteria by many-objective genetic fuzzy systems. GEFS 2011: 39-46 - [c25]Francisco Javier Marín, Jorge Casillas, Manuel Mucientes
Learning Intelligent Controllers for Path-Following Skills on Snake-Like Robots. ICIRA (2) 2011: 525-535 - 2010
- [j22]Manuel Mucientes
A case study for learning behaviors in mobile robotics by evolutionary fuzzy systems. Expert Syst. Appl. 37(2): 1471-1493 (2010) - [c24]Michel González, Jorge Casillas, Carlos Morell
SIFT-SS: An Advanced Steady-State Multi-Objective Genetic Fuzzy System. HAIS (2) 2010: 1-8 - [c23]Habib M. Kammoun
An adaptive vehicle guidance system instigated from ant colony behavior. SMC 2010: 2948-2955 - [p3]Albert Orriols-Puig, Jorge Casillas, Francisco José Martínez-López:
Automatic Discovery of Potential Causal Structures in Marketing Databases Based on Fuzzy Association Rules. Marketing Intelligent Systems Using Soft Computing 2010: 181-206 - [e1]Jorge Casillas, Francisco José Martínez-López:
Marketing Intelligent Systems Using Soft Computing - Managerial and Research Applications. Studies in Fuzziness and Soft Computing 258, Springer 2010, ISBN 978-3-642-15605-2 [contents]
2000 – 2009
- 2009
- [j21]Jorge Casillas
Mining uncertain data with multiobjective genetic fuzzy systems to be applied in consumer behaviour modelling. Expert Syst. Appl. 36(2): 1645-1659 (2009) - [j20]Luciano Sánchez
Genetic learning of fuzzy rules based on low quality data. Fuzzy Sets Syst. 160(17): 2524-2552 (2009) - [j19]Manuel Mucientes
Learning weighted linguistic rules to control an autonomous robot. Int. J. Intell. Syst. 24(3): 226-251 (2009) - [j18]Jorge Casillas
Special issue on "Genetic Fuzzy Systems: Recent Developments and Future Directions". Soft Comput. 13(5): 417-418 (2009) - [j17]Jorge Casillas
Learning consistent, complete and compact sets of fuzzy rules in conjunctive normal form for regression problems. Soft Comput. 13(5): 451-465 (2009) - [j16]Albert Orriols-Puig, Jorge Casillas
Fuzzy-UCS: A Michigan-Style Learning Fuzzy-Classifier System for Supervised Learning. IEEE Trans. Evol. Comput. 13(2): 260-283 (2009) - [c22]Jorge Casillas:
Embedded Genetic Learning of Highly Interpretable Fuzzy Partitions. IFSA/EUSFLAT Conf. 2009: 1631-1636 - [c21]Alicia D. Benítez, Jorge Casillas:
Genetic Learning of Serial Hierarchical Fuzzy Systems for Large-Scale Problems. IFSA/EUSFLAT Conf. 2009: 1751-1756 - [c20]Jorge Casillas
Efficient multi-objective genetic tuning of fuzzy models for large-scale regression problems. FUZZ-IEEE 2009: 1712-1717 - [c19]Albert Orriols-Puig, Jorge Casillas:
Evolution of Interesting Association Rules Online with Learning Classifier Systems. IWLCS 2009: 21-37 - 2008
- [j15]Albert Orriols-Puig, Jorge Casillas
Genetic-based machine learning systems are competitive for pattern recognition. Evol. Intell. 1(3): 209-232 (2008) - [c18]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
First approach toward on-line evolution of association rules with learning classifier systems. GECCO (Companion) 2008: 2031-2038 - [c17]Jorge Casillas, Albert Orriols-Puig, Ester Bernadó-Mansilla
Toward evolving consistent, complete, and compact fuzzy rule sets for classification problems. GEFS 2008: 89-94 - [c16]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
Approximate Versus Linguistic Representation in Fuzzy-UCS. HAIS 2008: 722-729 - [p2]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla
A Comparative Study of Several Genetic-Based Supervised Learning Systems. Learning Classifier Systems in Data Mining 2008: 205-230 - [p1]Jorge Casillas, Francisco José Martínez-López:
KDD in Marketing with Genetic Fuzzy Systems. Soft Computing for Knowledge Discovery and Data Mining 2008: 225-239 - 2007
- [j14]Jorge Casillas
Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off. Int. J. Approx. Reason. 44(1): 1-3 (2007) - [j13]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) - [j12]Jorge Casillas
Fuzzy-XCS: A Michigan Genetic Fuzzy System. IEEE Trans. Fuzzy Syst. 15(4): 536-550 (2007) - [j11]Manuel Mucientes
Quick Design of Fuzzy Controllers With Good Interpretability in Mobile Robotics. IEEE Trans. Fuzzy Syst. 15(4): 636-651 (2007) - [c15]Luciano Sánchez
Modeling Vague Data with Genetic Fuzzy Systems under a Combination of Crisp and Imprecise Criteria. MCDM 2007: 30-37 - [c14]Jorge Casillas, Pedro Martínez:
Consistent, Complete and Compact Generation of DNF-type Fuzzy Rules by a Pittsburgh-style Genetic Algorithm. FUZZ-IEEE 2007: 1-6 - [c13]Albert Orriols-Puig, Jorge Casillas
Fuzzy-UCS: preliminary results. GECCO (Companion) 2007: 2871-2874 - [c12]Albert Orriols-Puig, Jorge Casillas, Ester Bernadó-Mansilla:
Evolving Fuzzy Rules with UCS: Preliminary Results. IWLCS 2007: 57-76 - 2006
- [j10]Rafael Alcalá
Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling. Soft Comput. 10(9): 717-734 (2006) - [c11]Jorge Casillas
Knowledge Extraction from Fuzzy Data for Estimating Consumer Behavior Models. FUZZ-IEEE 2006: 164-170 - [c10]Alicia D. Benítez, Jorge Casillas:
Continuous Optimization by Evolving Probability Density Functions with a Two-Island Model. ICNC (1) 2006: 796-805 - 2005
- [j9]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) - [j8]Jorge Casillas, Oscar Cordón, Iñaki Fernández de Viana, Francisco Herrera:
Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm. Int. J. Intell. Syst. 20(4): 433-452 (2005) - [j7]Jorge Casillas
Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction. IEEE Trans. Fuzzy Syst. 13(1): 13-29 (2005) - [c9]Jorge Casillas, Oscar Delgado, Francisco José Martínez-López:
Predictive Knowledge Discovery by Multiobjective Genetic Fuzzy Systems for Estimating Consumer Behavior Models. EUSFLAT Conf. 2005: 272-278 - 2004
- [c8]Manuel Mucientes
Obtaining a fuzzy controller with high interpretability in mobile robots navigation. FUZZ-IEEE 2004: 1637-1642 - 2003
- [j6]Rafael Alcalá
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms. Appl. Intell. 18(2): 155-177 (2003) - [j5]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) - [c7]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 - 2002
- [j4]Luciano Sánchez
Some relationships between fuzzy and random set-based classifiers and models. Int. J. Approx. Reason. 29(2): 175-213 (2002) - [j3]Jorge Casillas
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 32(4): 526-537 (2002) - [c6]Rafael Alcalá, Jorge Casillas, Oscar Cordón
Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology. IBERAMIA 2002: 294-302 - [c5]Rafael Alcalá, Jorge Casillas, Oscar Cordón, Francisco Herrera, Igor Zwir:
Hybridizing Hierarchical and Weighted Linguistic Rules. SAC 2002: 812-816 - 2001
- [j2]Jorge Casillas
Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems. Inf. Sci. 136(1-4): 135-157 (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) - [c4]Jorge Casillas, Oscar Cordón
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems. Artificial Evolution 2001: 311-322 - [c3]Jorge Casillas, Oscar Cordón, Francisco Herrera:
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. EUSFLAT Conf. 2001: 118-121 - [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
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last updated on 2024-11-05 21:02 CET by the dblp team
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