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A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Research article (Expert Systems with Applications, 2023) · cited 39× · AI/ML
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification
Summary
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification is a scholarly article[1].
Key Facts
A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification's instance of is recorded as scholarly article[2].
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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). A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-unsupervised-domain-adaptation-framework-based-on-graph-convolutional-network-and-multi-level-feature-alignment-
MLA“A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-unsupervised-domain-adaptation-framework-based-on-graph-convolutional-network-and-multi-level-feature-alignment-.
BibTeX@misc{4ortxyz_a-novel-unsupervised-domain-adaptation-framework-based-on-graph-convolutional-network-and-multi-level-feature-alignment-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-unsupervised-domain-adaptation-framework-based-on-graph-convolutional-network-and-multi-level-feature-alignment-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel unsupervised domain adaptation framework based on graph convolutional network and multi-level feature alignment for inter-subject ECG classification — https://4ort.xyz/entity/a-novel-unsupervised-domain-adaptation-framework-based-on-graph-convolutional-network-and-multi-level-feature-alignment- (retrieved 2026-05-24)
