most citedA Tutorial on Stream-based Monitoring

4 citations · 5 across the 7 of their papers we have counts for

collaborators

8 papers

cs.AI2026

FairMon: A Tool for Monitoring and Visualizing Algorithmic Fairness

Jan Baumeister, Bernd Finkbeiner, Vladimir Krsmanovic +3

Runtime monitoring has recently been proposed as a rigorous method for analyzing algorithmic fairness of autonomous decision systems used in critical scenarios such as credit lendi…

cs.LO2026

Two Ways to See the Future: Combining Prediction and Future-Offset Accesses in RTLola

Jan Baumeister, Bernd Finkbeiner, Eduard Müller +2

RTLola is a stream-based specification language designed for asynchronous real-time systems. While many temporal specifications naturally refer to future behavior, RTLola currently…

cs.LO2026

Extending RTLola with External Data Queries

Bernd Finkbeiner, Jakob Hirschler, Frederik Scheerer +1

Stream-based monitoring enables the concise specification of complex temporal properties. However, existing stream-based monitors are limited when dealing with large external data…

cs.CR2026★ 1 cited

Differentially Private Runtime Monitoring

Bernd Finkbeiner, Frederik Scheerer

Modern stream-based monitors collect detailed statistics of the runtime behavior of the system under observation. If the system runs in a privacy-sensitive context, this poses the…

cs.LO2025

Active Monitoring with RTLola: A Specification-Guided Scheduling Approach

Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer

Stream-based monitoring is a well-established runtime verification approach which relates input streams, representing sensor readings from the monitored system, with output streams…

cs.LO2025

An Intermediate Program Representation for Optimizing Stream-Based Languages

Jan Baumeister, Arthur Correnson, Bernd Finkbeiner +1

Stream-based runtime monitors are safety assurance tools that check at runtime whether the system's behavior satisfies a formal specification. Specifications consist of stream equa…

cs.LG2025

Stream-Based Monitoring of Algorithmic Fairness

Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer +2

Automatic decision and prediction systems are increasingly deployed in applications where they significantly impact the livelihood of people, such as for predicting the creditworth…

cs.LO2025★ 4 cited

A Tutorial on Stream-based Monitoring

Jan Baumeister, Bernd Finkbeiner, Florian Kohn +1

Stream-based runtime monitoring frameworks are safety assurance tools that check the runtime behavior of a system against a formal specification. This tutorial provides a hands-on…