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Illuminating the Black Box: Interpreting Deep Neural Network Models for Psychiatric Research
Psychiatric research is often confronted with complex abstractions and dynamics that are not readily accessible or well-defined to our perception and measurements, making data-driven methods an appealing approach. Deep neural networks (DNNs) are capable of automatically learning abstractions in the...
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| Pubblicato in: | Front Psychiatry |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7658441/ https://ncbi.nlm.nih.gov/pubmed/33192663 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyt.2020.551299 |
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