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Showing 1 to 2 of 2 for “"Convolutional Sparse Coding"”.
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Synergizing human-machine intelligence: Visualizing, labeling, and mining the electronic health record
… data. We propose a novel doubly-constrained convolutional sparse-coding framework that learns interpretable and shift-invariant latent temporal event patterns. We apply the model to mine complex event data in EHRs. By mapping the event space to heterogeneous patient encounters in the EHR we …
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Sampling, non-linearities and scales: rethinking convolutional neural networks from a signal processing perspective
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-02-04 without embargo terms