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DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis., , и . MLMI@MICCAI (2), том 14349 из Lecture Notes in Computer Science, стр. 164-173. Springer, (2023)Measure observability by the generalized informational correlation., , , и . CDC, стр. 5570-5574. IEEE, (2007)Kernel adaptive filtering with maximum correntropy criterion., , и . IJCNN, стр. 2012-2017. IEEE, (2011)Least mean p-power extreme learning machine for obstacle avoidance of a mobile robot., , , и . IJCNN, стр. 1968-1976. IEEE, (2016)Trimmed affine projection algorithms., , , , , и . IJCNN, стр. 1923-1928. IEEE, (2014)Extended Kalman filter using a kernel recursive least squares observer., , и . IJCNN, стр. 1402-1408. IEEE, (2011)Some Further Results on the Minimum Error Entropy Estimation., и . Entropy, 14 (5): 966-977 (2012)Quantized Kernel Least Mean Square Algorithm., , , и . IEEE Trans. Neural Networks Learn. Syst., 23 (1): 22-32 (2012)Augmented Space Linear Model., , , и . IJCNN, стр. 1-6. IEEE, (2018)An Encoding Framework With Brain Inner State for Natural Image Identification., , , , и . IEEE Trans. Cogn. Dev. Syst., 13 (3): 453-464 (2021)