Home ›
Entities
› academia
› Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers
Research article (Neurocomputing, 2022) · cited 33× · AI/ML
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers
Summary
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers is a scholarly article[1].
Key Facts
Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers'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). Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-subject-to-subject-transfer-learning-methods-in-surface-electromyogram-based-motion-recognition-with-shallow-a
MLA“Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparing-subject-to-subject-transfer-learning-methods-in-surface-electromyogram-based-motion-recognition-with-shallow-a.
BibTeX@misc{4ortxyz_comparing-subject-to-subject-transfer-learning-methods-in-surface-electromyogram-based-motion-recognition-with-shallow-a_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-subject-to-subject-transfer-learning-methods-in-surface-electromyogram-based-motion-recognition-with-shallow-a}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparing subject-to-subject transfer learning methods in surface electromyogram-based motion recognition with shallow and deep classifiers — https://4ort.xyz/entity/comparing-subject-to-subject-transfer-learning-methods-in-surface-electromyogram-based-motion-recognition-with-shallow-a (retrieved 2026-05-24)