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Published in 2019 at "Journal of Medical Virology"
DOI: 10.1002/jmv.25296
Abstract: Hepatitis E virus (HEV) infection in Bulgaria is endemic, as demonstrated by the seroprevalence of antibody against the virus in the general population and by the high prevalence of clinical cases registered. In this study,…
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Keywords:
deep bayesian;
bayesian phylogenetic;
analysis;
phylogenetic analysis ... See more keywords
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Published in 2021 at "Science China Information Sciences"
DOI: 10.1007/s11432-020-3118-7
Abstract: In this study, we consider a crowdsourcing classification problem in which labeling information from crowds is aggregated to infer latent true labels. We propose a fully Bayesian deep generative crowdsourcing model (BayesDGC), which combines the…
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Keywords:
deep bayesian;
crowdsourcing aggregation;
latent true;
bayesian learning ... See more keywords
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Published in 2021 at "npj Computational Materials"
DOI: 10.1038/s41524-021-00621-6
Abstract: The advent of high-resolution electron and scanning probe microscopy imaging has opened the floodgates for acquiring atomically resolved images of bulk materials, 2D materials, and surfaces. This plethora of data contains an immense volume of…
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Keywords:
definition;
deep bayesian;
microscopy;
atomically resolved ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2023.3234600
Abstract: Waypoint estimation (WE) has a wide range of applications for indoor walkers, such as fire rescue and navigation to find exit doors, lifts, or stairs as examples of waypoints, etc. Data-driven WE has been on…
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Keywords:
waypoint;
bayesian active;
learning waypoint;
active learning ... See more keywords
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Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3129888
Abstract: Inferential modeling has been of significance for modern manufacturing in estimating the quality-related process variables. As an effective inferential model, probabilistic slow feature analysis (PSFA) has gained attention in regression tasks to interpret dynamic properties…
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Keywords:
slow feature;
inferential modeling;
deep bayesian;
feature ... See more keywords
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Published in 2022 at "Science Advances"
DOI: 10.1126/sciadv.abi8295
Abstract: The investigation of biological systems with three-dimensional microscopy demands automatic cell identification methods that not only are accurate but also can imply the uncertainty in their predictions. The use of deep learning to regress density…
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Keywords:
probabilistic spatial;
microscopy;
deep bayesian;
uncertainty aware ... See more keywords