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Fuzziness based semi-supervised learning approach for intrusion detection system., , , , и . Inf. Sci., (2017)Further improvements on extreme learning machine for interval neural network., , , , и . Neural Comput. Appl., 29 (8): 311-318 (2018)Impact of Variances of Random Weights and Biases on Extreme Learning Machine., , , и . J. Softw., 11 (5): 440-454 (2016)A new kernel density estimator based on the minimum entropy of data set., , , и . Inf. Sci., (2019)An advancing investigation on reduct and consistency for decision tables in Variable Precision Rough Set models., , , и . FUZZ-IEEE, стр. 1496-1503. IEEE, (2014)Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data., , , , и . Appl. Soft Comput., (2018)Extreme learning machine with fuzzy input and fuzzy output for fuzzy regression., , , и . Neural Comput. Appl., 28 (11): 3465-3476 (2017)A comparative study among different kernel functions in flexible naïve Bayesian classification., , , и . ICMLC, стр. 638-643. IEEE, (2011)Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification., , , и . PAKDD Workshops, том 9794 из Lecture Notes in Computer Science, стр. 48-60. Springer, (2016)Self-adaptive Weighted Extreme Learning Machine for Imbalanced Classification Problems., , , и . PAKDD (Workshops), том 10526 из Lecture Notes in Computer Science, стр. 116-128. Springer, (2017)