15 citations · 22 across the 5 of their papers we have counts for
6 papers
Attribution-based Explanations for Markov Decision Processes
Paul Kobialka, Andrea Pferscher, Francesco Leofante +3
Attribution techniques explain the outcome of an AI model by assigning a numerical score to its inputs. So far, these techniques have mainly focused on attributing importance to st…
Automata Learning versus Process Mining: The Case for User Journeys
Paul Kobialka, Andrea Pferscher, Bernhard K. Aichernig +2
With the servitization of business, understanding how users experience services becomes a crucial success factor for companies. Therefore, there is a need to include feedback from…
Incremental Fingerprinting in an Open World
Loes Kruger, Paul Kobialka, Andrea Pferscher +3
Network protocol fingerprinting is used to identify a protocol implementation by analyzing its input-output behavior. Traditionally, fingerprinting operates under a closed-world as…
ORB: An Open Radio Buoy for Coastal Water Measurements
Lars Willas Dreyer, Andrea Pferscher, Riccardo Sieve +4
Oceanographic instrumentation technology is currently under rapid transition towards increasingly open-source technology. Open-source buoys compete with commercial and closed-sourc…
Fingerprinting and Analysis of Bluetooth Devices with Automata Learning
Andrea Pferscher, Bernhard K. Aichernig
Automata learning is a technique to automatically infer behavioral models of black-box systems. Today's learning algorithms enable the deduction of models that describe complex sys…
Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols
Bernhard K. Aichernig, Edi Muškardin, Andrea Pferscher
Active automata learning became a popular tool for the behavioral analysis of communication protocols. The main advantage is that no manual modeling effort is required since a beha…