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Inter-Labeler and Intra-Labeler Variability of Condition Severity Classification Models Using Active and Passive Learning Methods
BACKGROUND AND OBJECTIVES: Labeling instances by domain experts for classification is often time consuming and expensive. To reduce such labeling efforts, we had proposed the application of active learning (AL) methods, introduced our CAESAR-ALE framework for classifying the severity of clinical con...
Gorde:
| Argitaratua izan da: | Artif Intell Med |
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| Egile Nagusiak: | , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2017
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5937023/ https://ncbi.nlm.nih.gov/pubmed/28456512 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.artmed.2017.03.003 |
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