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Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
Recurrent neural networks (RNNs) were designed for dealing with time-series data and have recently been used for creating predictive models from functional magnetic resonance imaging (fMRI) data. However, gathering large fMRI datasets for learning is a difficult task. Furthermore, network interpreta...
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| Vydáno v: | Mach Learn Med Imaging |
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| Hlavní autoři: | , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7143657/ https://ncbi.nlm.nih.gov/pubmed/32274470 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-32692-0_44 |
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