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Fuzziness-based online sequential extreme learning machine for classification problems., , , , и . Soft Comput., 22 (11): 3487-3494 (2018)An Initial Study on the Relationship Between Meta Features of Dataset and the Initialization of NNRW., , , , и . IJCNN, стр. 1-8. IEEE, (2019)Impact of Probability Distribution Selection on RVFL Performance., , , , и . SmartCom, том 10699 из Lecture Notes in Computer Science, стр. 114-124. Springer, (2017)An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection., , , , и . BigDataSecurity/HPSC/IDS, стр. 42-48. IEEE, (2020)Target-oriented Self Training for Heterogeneous Domain Adaptation., , , и . ISPA/BDCloud/SocialCom/SustainCom, стр. 931-938. IEEE, (2021)BLSHF: Broad Learning System with Hybrid Features., , , , и . KSEM (2), том 13369 из Lecture Notes in Computer Science, стр. 655-666. Springer, (2022)A Hierarchical-Tree-Based Method for Generative Zero-Shot Learning., , , и . ICA3PP (2), том 12453 из Lecture Notes in Computer Science, стр. 352-364. Springer, (2020)Broad Learning System with Proportional-Integral-Differential Gradient Descent., , , и . ICA3PP (1), том 12452 из Lecture Notes in Computer Science, стр. 219-231. Springer, (2020)Dense Broad Learning System based on Conjugate Gradient., , и . IJCNN, стр. 1-6. IEEE, (2020)Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking., , , , , и . KSEM (3), том 13370 из Lecture Notes in Computer Science, стр. 463-476. Springer, (2022)