1 citations · 1 across the 3 of their papers we have counts for
5 papers
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…
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…
Counterfactual Strategies for Markov Decision Processes
Paul Kobialka, Lina Gerlach, Francesco Leofante +3
Counterfactuals are widely used in AI to explain how minimal changes to a model's input can lead to a different output. However, established methods for computing counterfactuals t…
BedreFlyt: Improving Patient Flows through Hospital Wards with Digital Twins
Riccardo Sieve, Paul Kobialka, Laura Slaughter +3
Digital twins are emerging as a valuable tool for short-term decision-making as well as for long-term strategic planning across numerous domains, including process industry, energy…