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Describing Sequential Association Patterns from Longitudinal Microarray Data Sets in Humans.

, , , , и . IWBBIO (2), том 11466 из Lecture Notes in Computer Science, стр. 318-329. Springer, (2019)

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Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation., и . FUZZ-IEEE, стр. 233-238. IEEE, (2004)Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems., , , и . FUZZ-IEEE, стр. 1-7. IEEE, (2013)A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers., , , , и . FUZZ-IEEE, стр. 1-8. IEEE, (2012)A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems., , и . WILF, том 6857 из Lecture Notes in Computer Science, стр. 99-106. Springer, (2011)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., , и . Appl. Soft Comput., (2014)Temporal association rule mining: An overview considering the time variable as an integral or implied component., , , и . WIREs Data Mining Knowl. Discov., (2020)Evolutionary data mining and applications: A revision on the most cited papers from the last 10 years (2007-2017)., , и . WIREs Data Mining Knowl. Discov., (2018)A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability., , и . IFSA/EUSFLAT Conf., стр. 1146-1151. (2009)Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling., , , , и . Soft Comput., 10 (9): 717-734 (2006)Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution., , , и . EUSFLAT Conf., стр. 237-240. De Montfort University, Leicester, UK, (2001)