Cargando…
In-domain versus out-of-domain transfer learning in plankton image classification
Plankton microorganisms play a huge role in the aquatic food web. Recently, it has been proposed to use plankton as a biosensor, since they can react to even minimal perturbations of the aquatic environment with specific physiological changes, which may lead to alterations in morphology and behavior...
Autores principales: | Maracani, Andrea, Pastore, Vito Paolo, Natale, Lorenzo, Rosasco, Lorenzo, Odone, Francesca |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300094/ https://www.ncbi.nlm.nih.gov/pubmed/37369770 http://dx.doi.org/10.1038/s41598-023-37627-7 |
Ejemplares similares
-
Annotation-free learning of plankton for classification and anomaly detection
por: Pastore, Vito P., et al.
Publicado: (2020) -
Plankton classification with high-throughput submersible holographic microscopy and transfer learning
por: MacNeil, Liam, et al.
Publicado: (2021) -
A Novel Distant Domain Transfer Learning Framework for Thyroid Image Classification
por: Tang, Fenghe, et al.
Publicado: (2022) -
Distant Domain Transfer Learning for Medical Imaging
Publicado: (2021) -
Less is more: regularization perspectives on large scale machine learning
por: Rosasco, Lorenzo
Publicado: (2017)