The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has in...
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
This paper addresses the problem of plan recognition for multi-agent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. ...
This paper addresses the problem of plan recognition for multiagent teams. Complex multi-agent tasks typically require dynamic teams where the team membership changes over time. T...
Back-in-time debuggers are extremely useful tools for identifying the causes of bugs. Unfortunately the "omniscient" approaches that try to remember all previous states a...