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06/03/2023
Non-parametric Bayesian mixture model to study adverse events of COVID-19 vaccines
The vaccine adverse event reporting system (VAERS) is a vital resource f...
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02/10/2022
Bayesian learning of COVID-19 Vaccine safety while incorporating Adverse Events ontology
While vaccines are crucial to end the COVID-19 pandemic, public confiden...
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06/01/2021
RAI-Net: Range-Adaptive LiDAR Point Cloud Frame Interpolation Network
LiDAR point cloud frame interpolation, which synthesizes the intermediat...
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01/07/2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values
There has been increasing interest in modeling survival data using deep ...
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10/23/2020
Data Mining in Large Frequency Tables With Ontology, with an Application to the Vaccine Adverse Event Reporting System
Vaccine safety is a concerning problem of the public, and many signal de...
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08/01/2020
A Bayesian Mixture Model for Changepoint Estimation Using Ordinal Predictors
In regression models, predictor variables with inherent ordering, such a...
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07/05/2020
Adverse event enrichment tests using VAERS
Vaccination safety is critical for individual and public health. Many ex...
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03/05/2020
Balance Between Efficient and Effective Learning: Dense2Sparse Reward Shaping for Robot Manipulation with Environment Uncertainty
Efficient and effective learning is one of the ultimate goals of the dee...
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08/06/2019
DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values
There has been increasing interest in modelling survival data using deep...
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03/07/2019
COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
There are substantial instructional videos on the Internet, which enable...
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08/03/2018
Interaction-aware Spatio-temporal Pyramid Attention Networks for Action Classification
Local features at neighboring spatial positions in feature maps have hig...
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12/22/2017
Deep Hashing with Category Mask for Fast Video Retrieval
This paper proposes an end-to-end deep hashing framework with category m...
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10/26/2012
