Although social research into group interaction has flourished since the 20th century, the technology of embodied conversational agents for handling multiparty interaction is stil...
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...
Activity and context recognition in pervasive and wearable computing ought to continuously adapt to changes typical of open-ended scenarios, such as changing users, sensor characte...
ct In recent years, the use of streamed digital video as a teaching and learning resource has become an increasingly attractive option for many educators as an innovation which exp...
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...