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2
Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01337-8
Abstract: Given repeated observations of several subjects over time, i.e. a longitudinal data set, this paper introduces a new model to learn a classification of the shapes progression in an unsupervised setting: we automatically cluster a…
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Keywords:
data sets;
clustering longitudinal;
shape;
learning clustering ... See more keywords
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1
Published in 2022 at "Bioinformatics"
DOI: 10.1101/2022.08.08.503120
Abstract: The transition from the evaluation of a single time point to the examination of the entire dynamic evolution of a system is possible only in the presence of the proper framework. The strong variability of…
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Keywords:
longitudinal data;
system;
clustering longitudinal;
connector fitting ... See more keywords
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0
Published in 2018 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215621591
Abstract: Heterogeneity in treatment efficacy is a major concern in clinical trials. Clustering may help to identify the treatment responders and the non-responders. In the context of longitudinal cluster analyses, sample size and variability of the…
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Keywords:
longitudinal data;
clustering longitudinal;
data using;
extended baseline ... See more keywords