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Using Linguistic Data Summarization in the study of creep data for the design of new steels.

, , и . ISDA, стр. 160-165. IEEE, (2011)

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Rafael Peña Pérez

Rafael Angel Llorente Perez

Ema Pérez Bravo

José Guadalupe Pérez-Ramírez

Roberto Francisco Pérez Benito

 

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Fuzzy prototype selection-based classifiers for imbalanced data. Case study., , , , , , и . Pattern Recognit. Lett., (2022)Fuzzy Design of Nearest Prototype Classifier., , , , , и . MICAI (1), том 11288 из Lecture Notes in Computer Science, стр. 391-400. Springer, (2018)An Approach to Solve Classification Problems on Domains with Hubness Using Rough Sets and Nearest Prototype., , , , , и . MICAI (Special Session), стр. 34-38. IEEE Computer Society, (2017)Using Linguistic Data Summarization in the study of creep data for the design of new steels., , и . ISDA, стр. 160-165. IEEE, (2011)Project Control and Computational Intelligence: Trends and Challenges., , , и . Int. J. Comput. Intell. Syst., 10 (1): 320-335 (2017)A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data., , , и . Expert Syst. Appl., 41 (4): 2035-2042 (2014)Learning Optimization in a MLP Neural Network Applied to OCR., , , и . MICAI, том 2313 из Lecture Notes in Computer Science, стр. 292-300. Springer, (2002)Algoritmos para la sumarización lingüística de datos, ayuda a la toma de decisiones en organizaciones orientadas a proyectos., , , и . CIbSE, стр. 633-640. Curran Associates, (2019)Editorial., и . Int. J. Comput. Intell. Syst., 8 (sup2): 1-2 (2015)Concept Maps Combined with Case-Based Reasoning in Order to Elaborate Intelligent Teaching/Learning Systems., , , и . ISDA, стр. 205-210. IEEE Computer Society, (2007)