Modeling human behavior requires vast quantities of accurately labeled training data, but for ubiquitous people-aware applications such data is rarely attainable. Even researchers...
Daniel Peebles, Hong Lu, Nicholas D. Lane, Tanzeem...
Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
We are investigating how to empower nonprofit community organizations to develop the information technology management practices required to carry out their civic goals. We highli...
Cecelia Merkel, Umer Farooq, Lu Xiao, Craig H. Gan...
A hands-on embedded computing project is introduced into an undergraduate social sciences course. In the pilot module, nine student teams created working prototypes, using the tec...
Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually ...