Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study
Summary
Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study is a scholarly article[1].
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Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-feature-engineering-of-medical-data-via-variational-autoencoders-with-triplet-loss-a-covid-19-prognosis-study
MLA“Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-feature-engineering-of-medical-data-via-variational-autoencoders-with-triplet-loss-a-covid-19-prognosis-study.
BibTeX@misc{4ortxyz_hybrid-feature-engineering-of-medical-data-via-variational-autoencoders-with-triplet-loss-a-covid-19-prognosis-study_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-feature-engineering-of-medical-data-via-variational-autoencoders-with-triplet-loss-a-covid-19-prognosis-study}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybrid feature engineering of medical data via variational autoencoders with triplet loss: a COVID-19 prognosis study — https://4ort.xyz/entity/hybrid-feature-engineering-of-medical-data-via-variational-autoencoders-with-triplet-loss-a-covid-19-prognosis-study (retrieved 2026-05-24)
