Home ›
Entities
› academia
› Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Research article (Stochastic Environmental Research and Risk Assessment, 2023) · cited 19× · AI/ML
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas
Summary
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas is a scholarly article[1].
Key Facts
Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas'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). Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas. Retrieved May 24, 2026, from https://4ort.xyz/entity/integration-of-rotation-forest-and-multiboost-ensemble-methods-with-forest-by-penalizing-attributes-for-spatial-predicti
MLA“Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/integration-of-rotation-forest-and-multiboost-ensemble-methods-with-forest-by-penalizing-attributes-for-spatial-predicti.
BibTeX@misc{4ortxyz_integration-of-rotation-forest-and-multiboost-ensemble-methods-with-forest-by-penalizing-attributes-for-spatial-predicti_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas}}, year = {2026}, url = {https://4ort.xyz/entity/integration-of-rotation-forest-and-multiboost-ensemble-methods-with-forest-by-penalizing-attributes-for-spatial-predicti}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Integration of rotation forest and multiboost ensemble methods with forest by penalizing attributes for spatial prediction of landslide susceptible areas — https://4ort.xyz/entity/integration-of-rotation-forest-and-multiboost-ensemble-methods-with-forest-by-penalizing-attributes-for-spatial-predicti (retrieved 2026-05-24)
