Abstract: We report on ongoing work towards a posteriori detection of illegal information flows for business processes, focusing on the challenges involved in doing so. Resembling ...
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative m...
Abstract. As the number of devices connected to the internet continues to grow rapidly and software systems are being increasingly deployed on the web, security and privacy have be...
Many challenging tasks in sensor networks, including sensor calibration, ranking of nodes, monitoring, event region detection, collaborative filtering, collaborative signal proces...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...