The problem of consistently engineering large, complex software systems of today is often addressed by introducing new, "improved" models. Examples of such models are arc...
This paper discusses issues related to Bayesian network model learning for unbalanced binary classification tasks. In general, the primary focus of current research on Bayesian ne...
Abstract. This survey paper studies recent advances in the field of LeakageResilient Cryptography. This booming area is concerned with the design of cryptographic primitives resist...
Ontology matching is currently a key technology to achieve the semantic alignment of ontological entities used by knowledge-based applications, and therefore to enable their inter...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...