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Article
Non-negative Matrix Factorization with Symmetric Manifold Regularization
Non-negative matrix factorization (NMF) is becoming an important tool for information retrieval and pattern recognition. However, in the applications of image decomposition, it is not enough to discover the in...
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Article
A Word-Concept Heterogeneous Graph Convolutional Network for Short Text Classification
Text classification is an important task in natural language processing. However, most of the existing models focus on long texts, and their performance in short texts is not satisfied due to the problem of da...
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Article
A motion recognition model for upper-limb rehabilitation exercises
In recent years, autonomous rehabilitation training systems with no or reduced supervision have attracted much research attentions. It is essential to automatically record and recognize motions so as to realiz...
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Article
Open AccessHIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation
Medication combination recommendation is critical in clinic, since accurately predicting therapeutic drug can provide essential decision support to physicians. However, current approaches do not consider the m...