Home ›
Entities
› academia
› Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Research article (International Journal of Wildland Fire, 2023) · cited 17× · AI/ML
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability
Summary
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability is a scholarly article[1].
Key Facts
Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability. Retrieved May 24, 2026, from https://4ort.xyz/entity/effects-of-different-sampling-strategies-for-unburned-label-selection-in-machine-learning-modelling-of-wildfire-occurren
MLA“Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effects-of-different-sampling-strategies-for-unburned-label-selection-in-machine-learning-modelling-of-wildfire-occurren.
BibTeX@misc{4ortxyz_effects-of-different-sampling-strategies-for-unburned-label-selection-in-machine-learning-modelling-of-wildfire-occurren_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability}}, year = {2026}, url = {https://4ort.xyz/entity/effects-of-different-sampling-strategies-for-unburned-label-selection-in-machine-learning-modelling-of-wildfire-occurren}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Effects of different sampling strategies for unburned label selection in machine learning modelling of wildfire occurrence probability — https://4ort.xyz/entity/effects-of-different-sampling-strategies-for-unburned-label-selection-in-machine-learning-modelling-of-wildfire-occurren (retrieved 2026-05-24)
