Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
We present a method for matching target behaviors with solutions for achieving those behaviors. Called the Behavior Wizard, this method first classifies behavior change targets int...
This paper presents a novel metric-based framework for the task of automatic taxonomy induction. The framework incrementally clusters terms based on ontology metric, a score indic...
In this demo, we present an application for mobile phones which can monitor physical activities of users and detect unexpected emergency situations such as a sudden fall or accide...
This paper introduces a doctoral research on open innovation solver's behavior and group factors inducing it. The research is now finishing its first year and exploratory str...