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07/22/2022
PieTrack: An MOT solution based on synthetic data training and self-supervised domain adaptation
In order to cope with the increasing demand for labeling data and privac...
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10/22/2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Successful health risk prediction demands accuracy and reliability of th...
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05/24/2020
Longitudinal Deep Kernel Gaussian Process Regression
We consider the problem of learning predictive models from longitudinal ...
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11/11/2019
LMLFM: Longitudinal Multi-Level Factorization Machines
Selecting important variables and learning predictive models from high-d...
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11/11/2019
LMLFM: Longitudinal Multi-Level Factorization Machine
We consider the problem of learning predictive models from longitudinal ...
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12/10/2018