Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognitio...
Abstract--We describe a wireless wearable system that was developed to provide quantitative gait analysis outside the confines of the traditional motion laboratory. The sensor suit...
Stacy J. Morris Bamberg, Ari Y. Benbasat, Donna M....
This paper presents data collected from 5 real-world (federal, state and commercial) groups as they undertook their real-world (Business Process Reengineering (BPR) and Joint Appl...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...