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Data-fusion using factor analysis and low-rank matrix completion
Data-fusion involves the integration of multiple related datasets. The s...
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AICov: An Integrative Deep Learning Framework for COVID-19 Forecasting with Population Covariates
The COVID-19 pandemic has profound global consequences on health, econom...
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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...
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Estimation of Residential Radon Concentration in Pennsylvania Counties by Data Fusion
A data fusion method for the estimation of residential radon level distr...
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Statistical matching of non-Gaussian data
The statistical matching problem is a data integration problem with stru...
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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...
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Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data
In systems biomedicine, an experimenter encounters different potential s...
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Saumyadipta Pyne
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