When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
This paper reports on the design and evaluation of UIMarks, a system that lets users specify on-screen targets and associated actions by means of a graphical marking language. UIM...
Most of the previous work on non-invasive brain-computer interfaces (BCIs) has been focused on feature extraction and classification algorithms to achieve high performance for the...
Mobile phones are becoming a convergent platform for sensing, computation, and communication. This paper envisions VUPoints, a collaborative sensing and video-recording system tha...
The ability to accurately identify the network traffic associated with different P2P applications is important to a broad range of network operations including application-specifi...