Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
Statistical data is present everywhere—from governmental bodies to economics, from life-science to industry. With the rise of the Web of Data, the need for sharing, accessing, an...
Michael Hausenblas, Wolfgang Halb, Yves Raimond, L...
Abstract. We present an analysis that determines when it is possible to multiplex a pair of cryptographic protocols. We present a transformation that improves the coverage of this ...
This case study describes the adoption of an enterprise identity management(IdM) system in an insurance organization. We describe the state of the organization before deploying th...
Pooya Jaferian, David Botta, Kirstie Hawkey, Konst...
In this paper, we present a mandatory access control system that uses input from multiple stakeholders to compose policies based on runtime information. In the emerging ubiquitous...