—Models abstract reality. Although abstract, such models can capture the essence of real world phenomena as long as they are sufficiently accurate. The development of new techni...
An MDSD process is often organised as transformation chain. This can threaten the Separation of Concerns (SoC) principle, because information is replicated in, scattered over, and ...
We present learning and inference algorithms for a versatile class of partially observed vector autoregressive (VAR) models for multivariate time-series data. VAR models can captu...
An ideal shape model should be both invariant to global transformations and robust to local distortions. In this paper we present a new shape modeling framework that achieves both...
This paper addresses the need for designing user interfaces (UIs) to workflow information systems by adopting a model-centric approach. We introduce a conceptual workflow model to...