Functional image sequences obtained from image reconstruction techniques applied to Magneto and Electroencephalography (M/EEG) data convey a large amount of information in the spa...
Our recent work on uniprocessor and single-node multiprocessor (SMP) active memory systems uses address remapping techniques in conjunction with extended cache coherence protocols...
We present a real-time execution semantics for UML activity graphs that is intended for workflow modelling. The semantics is defined in terms of execution algorithms that define...
In the analysis of any learning environment, whether small or large, one observes within it a "set of human activities related to each other so they can be viewed as a whole&...
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...