Home ›
Entities
› academia
› Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data
Research article (Statistics in Medicine, 2022) · cited 25× · AI/ML
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data
Summary
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data is a scholarly article[1].
Key Facts
Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data'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). Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data. Retrieved May 24, 2026, from https://4ort.xyz/entity/pooling-random-forest-and-functional-data-analysis-for-biomedical-signals-supervised-classification-theory-and-applicati
MLA“Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/pooling-random-forest-and-functional-data-analysis-for-biomedical-signals-supervised-classification-theory-and-applicati.
BibTeX@misc{4ortxyz_pooling-random-forest-and-functional-data-analysis-for-biomedical-signals-supervised-classification-theory-and-applicati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data}}, year = {2026}, url = {https://4ort.xyz/entity/pooling-random-forest-and-functional-data-analysis-for-biomedical-signals-supervised-classification-theory-and-applicati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Pooling random forest and functional data analysis for biomedical signals supervised classification: Theory and application to electrocardiogram data — https://4ort.xyz/entity/pooling-random-forest-and-functional-data-analysis-for-biomedical-signals-supervised-classification-theory-and-applicati (retrieved 2026-05-24)