Autoencoder and restricted Boltzmann machine for transfer learning in functional magnetic resonance imaging task classification

Deep neural networks (DNNs) have been adopted widely as classifiers for functional magnetic resonance imaging (fMRI) data, advancing beyond traditional machine learning models. Consequently, transfer learning of the pre-trained DNN becomes crucial to enhance DNN classification performance, specifica...

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Detalles Bibliográficos
Autores principales: Hwang, Jundong, Lustig, Niv, Jung, Minyoung, Lee, Jong-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372668/
https://www.ncbi.nlm.nih.gov/pubmed/37519689
http://dx.doi.org/10.1016/j.heliyon.2023.e18086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10372668/
https://www.ncbi.nlm.nih.gov/pubmed/37519689
http://dx.doi.org/10.1016/j.heliyon.2023.e18086

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