Utilizing infrastructure and vehicle-side information to track and forec...
This paper proposes a high-fidelity simulation framework that can estima...
This paper addresses patient heterogeneity associated with prediction
pr...
Multichannel electroencephalograms (EEGs) have been widely used to study...
In this paper, we propose a regularized mixture probabilistic model to
c...
The standard approach to analyzing categorical correlated time series da...
Motivated by the problem of predicting sleep states, we develop a mixed
...