We describe ongoing research where the aim is to apply recent results from the research
field of information fusion to bibliometric analysis and information retrieval. We highlight the …

Most existing work in information fusion focuses on combining information with well-defined
meaning towards a concrete, pre-specified goal. In contradistinction, we instead aim for …

Detecting and classifying anomalies generally contributes to Maritime Situation Awareness
and highly benefits from the combination of multiple sources, as correlating their output …

How a treatment causes a particular outcome is a focus of inquiry in political science. When
treatment data are either nonrandomly assigned or missing, the analyst will often invoke …

Detecting and classifying anomalies for Maritime Situation Awareness gets a lot of benefit
from the combination of multiple sources, correlating their output for detecting …

Since second-order probability distributions assign probabilities to probabilities there is
uncertainty on two levels. Although different types of uncertainty have been distinguished …

We propose to use a recently introduced merging procedure for jointly inconsistent
probabilistic assessments to the statistical matching problem. The merging procedure is …

Part 2 of this article is devoted to the analysis of a new class of combination rules on belief
functions generated by conditioning wrt random sets and their linear convex combinations …

The study of information fusion comprises methods and techniques to automatically or semi-
automatically combine information stemming from homogeneous or heterogeneous sources …

In the field of Maritime Situation Awareness (MSA), detecting and classifying vessels'
abnormal behaviour is a challenging and crucial task at the core of the compilation of the …