-
Data-fusion using factor analysis and low-rank matrix completion
Data-fusion involves the integration of multiple related datasets. The s...
04/07/2021 ∙ by Daniel Ahfock, et al. ∙
0
∙
share
read it
-
AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
The COVID-19 pandemic has profound global consequences on health, econom...
10/08/2020 ∙ by Geoffrey C Fox, et al. ∙
9
∙
share
read it
-
Clustering patterns connecting COVID-19 dynamics and Human mobility using optimal transport
Social distancing and stay-at-home are among the few measures that are k...
07/21/2020 ∙ by Frank Nielsen, et al. ∙
0
∙
share
read it
-
Estimation of Residential Radon Concentration in Pennsylvania Counties by Data Fusion
A data fusion method for the estimation of residential radon level distr...
12/17/2019 ∙ by Xuze Zhang, et al. ∙
0
∙
share
read it
-
Statistical matching of non-Gaussian data
The statistical matching problem is a data integration problem with stru...
03/29/2019 ∙ by Daniel Ahfock, et al. ∙
0
∙
share
read it
-
Supervised Classification of Flow Cytometric Samples via the Joint Clustering and Matching (JCM) Procedure
We consider the use of the Joint Clustering and Matching (JCM) procedure...
11/11/2014 ∙ by Sharon X. Lee, et al. ∙
0
∙
share
read it
-
Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
In systems biomedicine, an experimenter encounters different potential s...
05/31/2013 ∙ by Saumyadipta Pyne, et al. ∙
0
∙
share
read it
