Longitudinal data arises in many applications in which the goal is to understand changes in individual entities over time. In this paper, we present a method for analyzing longitu...
We describe a novel max-margin parameter learning approach for structured prediction problems under certain non-decomposable performance measures. Structured prediction is a commo...
Abstract—We have developed an intuitive method to semi-automatically explore volumetric data in a focus-region-guided or valuedriven way using a user defined ray through the 3D ...
Insoo Woo, Ross Maciejewski, Kelly P. Gaither, Dav...
In AI research, mechanism design is typically used to allocate tasks and resources to agents holding private information about their values for possible allocations. In this conte...
Lachlan Thomas Dufton, Victor Naroditskiy, Maria P...
Background: Automated software tools for multiple alignment often fail to produce biologically meaningful results. In such situations, expert knowledge can help to improve the qua...
Burkhard Morgenstern, Sonja J. Prohaska, Dirk P&ou...