Improving the integration of artificial intelligence into existing ecological inference workflows
| dc.contributor.author | Cowans, Amber | |
| dc.contributor.author | Lambin, Xavier | |
| dc.contributor.author | Hare, Darragh | |
| dc.contributor.author | Sutherland, Chris | |
| dc.contributor.institution | University of Aberdeen.Environment and Food Security | en |
| dc.contributor.institution | University of Aberdeen.Biological Sciences | en |
| dc.date.accessioned | 2025-02-03T16:49:09Z | |
| dc.date.available | 2025-02-03T16:49:09Z | |
| dc.date.issued | 2024-12-26 | |
| dc.description | We thank members of our research group and EC for insightful discussions on which aspects of analysing AI-labelled data introduce confusion for users. For the analysis in Box 1, we use data from Durham University, collected as part of the National Hedgehog Monitoring Programme (www.nhmp.co.uk), overseen by the People's Trust for Endangered Species. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 10 | |
| dc.format.extent | 860622 | |
| dc.identifier | 299563047 | |
| dc.identifier | 72418177-0d32-47c5-93fa-2bcfaacc04de | |
| dc.identifier | 85213013854 | |
| dc.identifier.citation | Cowans, A, Lambin, X, Hare, D & Sutherland, C 2024, 'Improving the integration of artificial intelligence into existing ecological inference workflows', Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210X.14485 | en |
| dc.identifier.doi | 10.1111/2041-210X.14485 | |
| dc.identifier.issn | 2041-210X | |
| dc.identifier.other | ORCID: /0000-0003-4643-2653/work/177256393 | |
| dc.identifier.uri | https://hdl.handle.net/2164/24982 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85213013854&partnerID=8YFLogxK | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Methods in Ecology and Evolution | en |
| dc.subject | artificial intelligence | en |
| dc.subject | camera trapping | en |
| dc.subject | classifiers | en |
| dc.subject | hierarchical modelling | en |
| dc.subject | machine learning | en |
| dc.subject | misclassification | en |
| dc.subject | occupancy modelling | en |
| dc.subject | passive acoustic monitoring | en |
| dc.subject | QH301 Biology | en |
| dc.subject | Supplementary Information | en |
| dc.subject | Supplementary Data | en |
| dc.subject | https://doi.org/10.17605/OSF.IO/YP8RK ( | en |
| dc.subject | DAS | en |
| dc.subject | Link | en |
| dc.subject.lcc | QH301 | en |
| dc.title | Improving the integration of artificial intelligence into existing ecological inference workflows | en |
| dc.type | Journal article | en |
Files
Original bundle
1 - 1 of 1
- Name:
- Cowans_etal_MEE_Improving_The_Integration_VoR.pdf
- Size:
- 840.45 KB
- Format:
- Adobe Portable Document Format