Online Service Function Chain Deployment for Live-Streaming in Virtualized Content Delivery Networks: A Deep Reinforcement Learning Approach. - Jesús Fernando Cevallos Moreno; Rebecca Sattler; Raúl Caulier-Cisterna; Lorenzo Ricciardi Celsi; Aminael Sánchez-Rodríguez; Massimo Mecella (Future Internet, 2021)

Discovering Event Queries from Traces: Laying Foundations for Subsequence-Queries with Wildcards and Gap-Size Constraints. - Sarah Kleest-Meißner; Rebecca Sattler; Markus L. Schmid; Nicole Schweikardt; Matthias Weidlich 001 (ICDT, 2022)

Scalable Discovery of Queries over Event Streams. - Rebecca Sattler (PhD@VLDB, 2022)

Discovering Multi-Dimensional Subsequence Queries from Traces - From Theory to Practice. - Sarah Kleest-Meißner; Rebecca Sattler; Markus L. Schmid; Nicole Schweikardt; Matthias Weidlich 001 (BTW, 2023)

Validity Constraints for Data Analysis Workflows. - Florian Schintke; Ninon De Mecquenem; David Frantz; Vanessa Emanuela Guarino; Marcus Hilbrich; Fabian Lehmann; Rebecca Sattler; Jan Arne Sparka; Daniel T. Speckhard; Hermann Stolte; Anh Duc Vu 001; Ulf Leser (CoRR, 2023)

Validity constraints for data analysis workflows. - Florian Schintke; Khalid Belhajjame; Ninon De Mecquenem; David Frantz; Vanessa Emanuela Guarino; Marcus Hilbrich; Fabian Lehmann; Paolo Missier; Rebecca Sattler; Jan Arne Sparka; Daniel T. Speckhard; Hermann Stolte; et al. (Future Gener. Comput. Syst., 2024)

Embracing Change: Incremental Updates of Discovered Event Queries. - Rebecca Sattler; Sarah Kleest-Meißner; Steven Lange; Markus L. Schmid; Nicole Schweikardt; Matthias Weidlich 001 (BTW, 2025)

DISCES: Systematic Discovery of Event Stream Queries. - Rebecca Sattler; Sarah Kleest-Meißner; Steven Lange; Markus L. Schmid; Nicole Schweikardt; Matthias Weidlich 001 (Proc. ACM Manag. Data, 2025)