Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Scenarios and goals are effective techniques for requirements definition. Goals are objectives that a system has to meet. They are elaborated into a structure that decomposes decla...
The current research presents a system that learns to understand object names, spatial relation terms and event descriptions from observing narrated action sequences. The system e...
BDDs have proven to be an efficient means to represent and manipulate Boolean formulae [1] and sets [2] due to their compactness and canonicality. In this work, we leverage the eff...
A between-group experiment was carried out to assess whether two different presence questionnaires can distinguish between real and virtual experiences. One group of 10 subjects s...
Martin Usoh, Ernest Catena, Sima Arman, Mel Slater