轨道
发表于 2025-4-1 02:34:55
N. Chawla,R. S. Sidhu experiment on the publicly released dataset achieves the accuracy that is comparable to the previous work of one-Dimension convolution neural network (1D-CNN). Meanwhile, the number of parameters of proposed network is about 1/10 of that in 1D-CNN. This study reveals the great potential of the SNN
Thymus
发表于 2025-4-1 07:14:12
Fuqian Yang,J. C. M. Lition performance with the accuracy of 91.69% via the leave-one-subject-out (LOSO) cross-validation strategy compared to other DL models. The experimental results demonstrate that DSNet can effectively extract information on spatial differences between depressed and normal individuals and could be a
GRUEL
发表于 2025-4-1 13:14:55
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混沌
发表于 2025-4-1 16:21:00
Michael Osterman,Abhijit Dasgupta the limited and imbalanced data from a non-stationary distribution benchmarked on computer vision and reinforcement learning tasks. As an unsupervised attention mechanism given input data, this biologically plausible normalization has the potential to deal with other complicated real-world scenario