Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.
- DOI
- 10.1242/jeb.249232
- Published
- 2024-12-23
- Container
- J Exp Biol
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1242/jeb.249232,
title = {Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.},
author = {Jeantet L and Zondo K and Delvenne C and Martin J and Chevallier D and Dufourq E.},
year = {2024},
journal = {J Exp Biol},
doi = {10.1242/jeb.249232},
url = {https://doi.org/10.1242/jeb.249232}
}RIS
TY - JOUR TI - Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning. AU - Jeantet L AU - Zondo K AU - Delvenne C AU - Martin J AU - Chevallier D AU - Dufourq E. PY - 2024 JO - J Exp Biol DO - 10.1242/jeb.249232 UR - https://doi.org/10.1242/jeb.249232 ER -
APA
L, J., K, Z., C, D., J, M., D, C., & E., D. (2024). Automatic identification of the endangered hawksbill sea turtle behavior using deep learning and cross-species transfer learning.. J Exp Biol. https://doi.org/10.1242/jeb.249232
Source records
- europe-pmc · retrieved 2026-09-27T01:15:35.365Z