In CAiSE 2006, we had presented a framework to support development of secure information systems. The framework was based on the integration of two security-aware approaches, the S...
In this paper we propose a schema and framework for recording and managing attention metadata. This framework is intended to capture, manage, and re-use data about attention users...
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
Security decision-making is hard for both humans and machines. This is because security decisions are context-dependent, require highly dynamic, specialized knowledge, and require...
Kernel learning plays an important role in many machine learning tasks. However, algorithms for learning a kernel matrix often scale poorly, with running times that are cubic in t...