Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy

Pollen monitoring have become data-intensive in recent years as real-time detectors are deployed to classify airborne pollen grains. Machine learning models with a focus on deep learning, have an essential role in the pollen classification task. Within this study we developed an explainable framewor...

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Detalles Bibliográficos
Autores principales: Brdar, Sanja, Panić, Marko, Matavulj, Predrag, Stanković, Mira, Bartolić, Dragana, Šikoparija, Branko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958198/
https://www.ncbi.nlm.nih.gov/pubmed/36828900
http://dx.doi.org/10.1038/s41598-023-30064-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9958198/
https://www.ncbi.nlm.nih.gov/pubmed/36828900
http://dx.doi.org/10.1038/s41598-023-30064-6

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