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09/19/2022
A cost-based multi-layer network approach for the discovery of patient phenotypes
Clinical records frequently include assessments of the characteristics o...
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08/09/2021
Probabilistic Active Learning for Active Class Selection
In machine learning, active class selection (ACS) algorithms aim to acti...
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11/30/2020
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces
Authorial clustering involves the grouping of documents written by the s...
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10/12/2020
Cardiac Cohort Classification based on Morphologic and Hemodynamic Parameters extracted from 4D PC-MRI Data
An accurate assessment of the cardiovascular system and prediction of ca...
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08/01/2018
How Does Tweet Difficulty Affect Labeling Performance of Annotators?
Crowdsourcing is a popular means to obtain labeled data at moderate cost...
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11/26/2017
Visual Subpopulation Discovery and Validation in Cohort Study Data
Epidemiology aims at identifying subpopulations of cohort participants t...
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09/03/2015