A user-adaptive information visualization system capable of learning models of users and the visualization tasks they perform could provide interventions optimized for helping spe...
The ability to determine patient acuity (or severity of illness) has immediate practical use for clinicians. We evaluate the use of multivariate timeseries modeling with the multi...
Marzyeh Ghassemi, Marco A. F. Pimentel, Tristan Na...
We introduce an active learning framework designed to train classification models which use informative projections. Our approach works with the obtained lowdimensional models in...
We present a probabilistic approach to shape decomposition that creates a skeleton-based shape representation of a 3D object while simultaneously decomposing it into constituent p...
Tarek El-Gaaly, Vicky Froyen, Ahmed M. Elgammal, J...
Utilizing attributes for visual recognition has attracted increasingly interest because attributes can effectively bridge the semantic gap between low-level visual features and hi...