Experimental web service and eye-tracking setup for unilateral spatial neglect assessment

In this paper we research two modifications of recurrent neural net- works – Long Short-Term Memory networks and networks with Gated Recurrent Unit with the addition of an

The MediaEval 2014 Visual Privacy Task was motivated by application domains such as video privacy filtering of videos taken in public spaces, by smart phones,

In order to assess the validity of the eye tracking method to detect indoor landmarks, the results of the eye movement analysis will be compared with the think aloud meth- od, which

Participants receive audio data as well as development and evaluation (audio) queries, described in more detail below. Only the occurrence of development queries in

The proposed approach is based on a concept of modelling the speech query as a concatenation of language-independent quasi- phoneme models, which are derived by unsupervised

T his provides a powerful benchmarking mechanism for the spectrum of possible privacy filtering techniques, in terms of their optimisation of the trade-offs (identity

Previous work conducted by the authors consisted in the design, development and evaluation of an IR system specialised on retrieving rare and genetic diseases 5 information based

• On the evaluation utterances: identify which query (from the set of development queries) occurs in each utterance (0-n matches per term, i.e. not every term