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Deep Learning Architecture Reduction for fMRI Data
In recent years, deep learning models have demonstrated an inherently better ability to tackle non-linear classification tasks, due to advances in deep learning architectures. However, much remains to be achieved, especially in designing deep convolutional neural network (CNN) configurations. The nu...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870362/ https://www.ncbi.nlm.nih.gov/pubmed/35203997 http://dx.doi.org/10.3390/brainsci12020235 |