A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Research article (Computer Methods and Programs in Biomedicine, 2023) · cited 11× · AI/ML
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A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

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A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-semi-supervised-algorithm-for-improving-the-consistency-of-crowdsourced-datasets-the-covid-19-case-study-on-respirator
MLA “A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-semi-supervised-algorithm-for-improving-the-consistency-of-crowdsourced-datasets-the-covid-19-case-study-on-respirator.
BibTeX @misc{4ortxyz_a-semi-supervised-algorithm-for-improving-the-consistency-of-crowdsourced-datasets-the-covid-19-case-study-on-respirator_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification}}, year = {2026}, url = {https://4ort.xyz/entity/a-semi-supervised-algorithm-for-improving-the-consistency-of-crowdsourced-datasets-the-covid-19-case-study-on-respirator}, note = {Accessed: 2026-05-24}}
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