( en | de | ru )

 

Disambiguation of "Herrera, Francisco"

Author of the publication

copydeleteadd this publication to your clipboard
Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.

, , , and . GEFS, page 17-23. IEEE, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Rodrigo Herrera

Javier Mauricio Herrera Herrera

Lidcay Herrera

Carlos Herrera

Felipe Herrera

 

Other publications of authors with the same name

Influence of fuzzy partition granularity on fuzzy rule-based system behaviour., , and . EUSFLAT-ESTYLF Joint Conf., page 159-162. Universitat de les Illes Balears, Palma de Mallorca, Spain, (1999)A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions., , and . EUSFLAT Conf., page 118-121. De Montfort University, Leicester, UK, (2001)A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making., , and . Int. J. Intell. Syst., 18 (6): 689-707 (2003)Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions., , and . Soft Comput., 16 (2): 331-351 (2012)A Note on the Estimation of Missing Pairwise Preference Values: a Uninorm Consistency Based Method., , , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 16 (Supplement-2): 19-32 (2008)Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise., , and . Knowl. Inf. Syst., 60 (1): 63-97 (2019)A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification., , , and . LOPAL, page 3:1-3:6. ACM, (2018)Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection., , , , and . MDAI, volume 3885 of Lecture Notes in Computer Science, page 317-328. Springer, (2006)Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets., , , , and . Inf. Sci., (2016)METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems., , , and . Inf. Sci., (2014)