This paper analyses whether current explainable AI (XAI) techniques can help to address
taxpayer concerns about the use of AI in taxation. As tax authorities around the world …

In this paper, we discuss the use of Bayesian belief networks as a tool for enhancing social
network analysis. Traditional social network analysis (SNA) primarily uses graph-theoretic …

In recent years, the task of automatically linking pieces of text (anchors) mentioned in a
document to Wikipedia articles that represent the meaning of these anchors has received …

Mining group differences is useful in many applications, such as medical research, social
network analysis and link discovery. The differences between groups can be measured from …

Abstract Systems and methods for evaluating a group detection tool are described. One
described method includes a set of data including a collection of asserted links between …

COLAB is a laboratory for studying tools that facilitate collaboration and sensemaking
among groups of human analysts as they build interpretations of unfolding situations based …

Computer simulation is used to research phenomena ranging from the structure of the space-
time continuum to population genetics and future combat. 1-3 Multi-agent simulations in …

We present an overview of our work in information fusion for intelligence analysis. This work
includes the Hats Simulator and the COLAB system. The Hats Simulator is a parameterized …

In this paper, we propose an empirical likelihood (EL) based strategy for building confidence
intervals for differences between two contrasting groups. The proposed method can deal …

Semantic associations are direct or indirect linkages between two entities that are construed
from existing associations among entities. In this paper we extend our previous query …