Swantje Plambeck, M. Sc.

Cyber-Physical Systems, Model Learning, Decision Trees, Black-Box Testing, Automata Learning, Hybrid Systems

Research Assistant and PhD Candidate

Tel.: +49 (0) 40 42878-3867
Fax: +49 (0) 40 42878-2798
Mail: swantje.plambeck(at)tuhh(dot)de

Building E, Room 3.013
Directions

On appointment

Publications

Swantje Plambeck and Lutz Schammer and Goerschwin Fey (2022). On the Viability of Decision Trees for Learning Models of Systems. ASP Design Automation Conference (ASPDAC)
Jakob Schyga and Swantje Plambeck and Johannes Hinckeldeyn and Goerschwin Fey and Jochen Kreutzfeldt (2022). Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems. Indoor Positioning and Indoor Navigation (IPIN)
Swantje Plambeck and Görschwin Fey and Jakob Schyga and Johannes Hinckeldeyn and Jochen Kreutzfeldt (2022). Explaining Cyber-Physical Systems Using Decision Trees. Computation-Aware Algorithmic Design for Cyber-Physical Systems (CAADCPS)

Swantje Plambeck and Gianluca Martino and Goerschwin Fey (2021). Metrics for the Evaluation of Approximate Sequential Streaming Circuits. EUROMICRO Symposium on Digital System Design (DSD)
Swantje Plambeck and Lutz Schammer and Goerschwin Fey (2021). Extended Abstract: Viability of Decision Trees for Learning Models of Systems. ITG/GI/GMM-Workshop Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen (MBMV)
Swantje Plambeck and Jakob Schyga and Johannes Hinckeldeyn and Jochen Kreutzfeldt and Goerschwin Fey (2021). Automata Learning for Automated Test Generation of Real Time Localization Systems. Workshop on Machine Learning in Control (Learning in Control, LEAC)
Lutz Schammer and Swantje Plambeck and Fin Hendrik Bahnsen and Goerschwin Fey (2021). Learning Models of Cyber-Physical Systems using Automata Learning. Software Engineering for Industrial Cyber-Physical Systems (SE4ICPS)

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