Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations
- DOI
- 10.1007/978-3-031-14463-9_23
- Published
- 2022
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- 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.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- 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.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-14463-9_23,
title = {Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations},
author = {Ferdinand Hoenigsberger and Anna Saranti and Alessa Angerschmid and Carl Orge Retzlaff and Christoph Gollob and Sarah Witzmann and Arne Nothdurft and Peter Kieseberg and Andreas Holzinger and Karl Stampfer},
year = {2022},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-14463-9_23},
url = {https://doi.org/10.1007/978-3-031-14463-9_23}
}RIS
TY - JOUR TI - Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations AU - Ferdinand Hoenigsberger AU - Anna Saranti AU - Alessa Angerschmid AU - Carl Orge Retzlaff AU - Christoph Gollob AU - Sarah Witzmann AU - Arne Nothdurft AU - Peter Kieseberg AU - Andreas Holzinger AU - Karl Stampfer PY - 2022 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-031-14463-9_23 UR - https://doi.org/10.1007/978-3-031-14463-9_23 ER -
APA
Hoenigsberger, F., Saranti, A., Angerschmid, A., Retzlaff, C. O., Gollob, C., Witzmann, S., Nothdurft, A., Kieseberg, P., Holzinger, A., & Stampfer, K. (2022). Machine Learning and Knowledge Extraction to Support Work Safety for Smart Forest Operations. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-14463-9_23
Source records
- crossref · retrieved 2026-09-25T08:39:45.891Z