Machine learning methods for low-cost pollen monitoring – Model optimisation and interpretability

Literals

ou:bibtex
- @article{Mills_2023, doi = {10.1016/j.scitotenv.2023.165853}, url = {https://doi.org/10.1016%2Fj.scitotenv.2023.165853}, year = 2023, month = {dec}, publisher = {Elsevier {BV}}, volume = {903}, pages = {165853}, author = {Sophie A. Mills and Jos{\'{e}} M. Maya-Manzano and Fiona Tummon and A. Rob MacKenzie and Francis D. Pope}, title = {Machine learning methods for low-cost pollen monitoring {\textendash} Model optimisation and interpretability}, journal = {Science of The Total Environment}}
ou:urlOrcid
- http://dx.doi.org/10.1016/j.scitotenv.2023.165853
dcterms:creator
- Mills S.A.
dcterms:contributor
- Mills S.A., Maya-Manzano J.M., Tummon F., MacKenzie A.R., Pope F.D.
bibo:doi
- 10.1016/j.scitotenv.2023.165853
vivo:identifier
- 2023-2884
bibo:issn
- 0048-9697
dcterms:publisher
- Science of the Total Environment
bibo:eissn
- 1879-1026
vcard:url
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85168418392&origin=inward
ou:eid
- 2-s2.0-85168418392
fabio:hasPublicationYear
- 2023
ou:tipoPublicacion
- Article
dcterms:title
- Machine learning methods for low-cost pollen monitoring – Model optimisation and interpretability
ou:urlScopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85168418392&origin=inward
ou:vecesCitado
- 8
bibo:volume
- 903