This article introduces a framework that is meant to assist in mitigatin...
Bayesian networks (BNs) are a probabilistic graphical model widely used ...
Recent breakthroughs in technology have led to a thriving "new space" cu...
The design and launch of large-scale satellite networks create an immine...
This paper is about shipping runtime verification to the masses. It pres...
Previous research in Explainable Artificial Intelligence (XAI) suggests ...
We present a novel and generalised notion of doping cleanness for
cyber-...
The software running in embedded or cyber-physical systems (CPS) is typi...
We find ourselves surrounded by a rapidly increasing number of autonomou...
We provide a framework for speeding up algorithms for time-bounded
reach...
This paper provides an informal discussion of the formal aspects of soft...
Markov decision processes (MDPs) are a popular model for performance ana...
This volume contains the proceedings of MARS 2017, the second workshop o...