Product derivation, i.e. reusing core assets to build products, did not receive sufficient attention from the productline community, yielding a frustrating situation. On the one h...
Gilles Perrouin, Jacques Klein, Nicolas Guelfi, Je...
Scene analysis is a major aspect of perception and continues to challenge machine perception. This paper addresses the scene-analysis problem by integrating a primitive segmentatio...
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
Gregory F. Cooper, Denver Dash, John Levander, Wen...
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
To support human functioning, ambient intelligent agents require knowledge about the tasks executed by the human. This knowledge includes design-time information like: (i) the goa...
Fiemke Both, Mark Hoogendoorn, Andy van der Mee, M...