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Semi-supervised classifier guided by discriminator

Some machine learning applications do not allow for data augmentation or are applied to modalities where the augmentation is difficult to define. Our study aimed to develop a new method in semi-supervised learning (SSL) applicable to various modalities of data (images, sound, text), especially when...

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Detalles Bibliográficos
Autores principales: Jamroziński, Sebastian, Markowska-Kaczmar, Urszula
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9424248/
https://www.ncbi.nlm.nih.gov/pubmed/36038620
http://dx.doi.org/10.1038/s41598-022-18947-6