Boosting Mask R-CNN Performance for Long, Thin Forensic Traces with Pre-Segmentation and IoU Region Merging. - Moritz Zink; Martin Schiele; Pengcheng Fan; Stephan Gasterstädt (CoRR, 2022)

Using Neural Networks by Modelling Semi-Active Shock Absorber. - Moritz Zink; Martin Schiele; Valentin Ivanov (CoRR, 2022)

Continuous Safety Assessment of Updated Supervised Learning Models in Shadow Mode. - Houssem Guissouma; Moritz Zink; Eric Sax (ICSA-C, 2023)

Adaptive Cybersecurity Monitoring for Resilient Vehicular Architectures. - Daniel Grimm; Moritz Zink; Marc Schindewolf; Eric Sax (VNC, 2023)

Cyber Situational Awareness in Vehicle Security Operations: Holistic Monitoring and a Data Model. - Daniel Grimm; Moritz Zink; Marc Schindewolf; Eric Sax (CNSM, 2024)

Hybrid Anomaly Detection in Time Series by Combining Kalman Filters and Machine Learning Models. - Andreas Puder; Moritz Zink; Luca Seidel; Eric Sax (Sensors, 2024)