Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …

One of the most interesting application scenarios in anomaly detection is when sequential
data are targeted. For example, in a safety-critical environment, it is crucial to have an …

The detection of organised disinformation campaigns that spread fake news, by first
camouflaging them as real ones is crucial in the battle against misinformation and …

Graph similarity learning is a significant and fundamental issue in the theory and analysis of
graphs, which has been applied in a variety of fields, including object tracking …

User identity linkage is a task of recognizing the identities of the same user across different
social networks (SN). Previous works tackle this problem via estimating the pairwise …

Prediction of events is imperative in many areas of social network (SN) applications. These
events influence the temporal evolutionary characteristic of social networks. A study of these …

Identification and analysis of latent and emergent behavioral patterns are core tasks in
investigative domains such as homeland security, counterterrorism, and crime prevention …

In the context of Explainable Artificial Intelligence, there are two important keywords:
interpretability and" explainability". Interpretability is the extent to which humans can …

Tracking individuals or groups based on their hidden and/or emergent behaviors is an
indispensable task in homeland security, mental health evaluation, and consumer analytics …

Network virtualization enables flexible placement, migration, and execution of virtual
networks and machines on physical hardware. This results in an NP-hard optimization …