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cs.LG2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun, Qiang He, Shouliang Qi +2
Dataset is the key of deep learning in Autism disease research. However, due to the few quantity and heterogeneity of samples in current dataset, for example ABIDE (Autism Brain Im…
cs.LG2021
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation
Jiao Wei, Can Tong, Bingxue Wu +4
Nonnegative matrix factorization (NMF) has been widely used to learn low-dimensional representations of data. However, NMF pays the same attention to all attributes of a data point…