Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. - Mark Schutera; Niklas Goby; Dirk Neumann 001; Markus Reischl (ATT@IJCAI, 2018)

Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. - Mark Schutera; Niklas Goby; Dirk Neumann 001; Markus Reischl (CoRR, 2018)

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. - Mark Schutera; Niklas Goby; Stefan Smolarek; Markus Reischl (CoRR, 2018)

Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. - Mark Schutera; Frank M. Hafner; Hendrik Vogt; Jochen Abhau; Markus Reischl (AVSS, 2019)

Strategies for supplementing recurrent neural network training for spatio-temporal prediction. - Mark Schutera; Stefan Elser; Jochen Abhau; Ralf Mikut; Markus Reischl (Autom., 2019)

Adaptive test case selection for DNN-based perception functions. - Johannes Bernhard; Thomas Schulik; Mark Schutera; Eric Sax (ISSE, 2021)

Optimizing test-set diversity: Trajectory clustering for scenario-based testing of automated driving systems. - Johannes Bernhard; Mark Schutera; Eric Sax (ITSC, 2021)

Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. - Mark Schutera; Frank M. Hafner; Jochen Abhau; Veit Hagenmeyer; Ralf Mikut; Markus Reischl (Image Vis. Comput., 2021)

Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. - Mark Schutera; Mostafa Hussein; Jochen Abhau; Ralf Mikut; Markus Reischl (IEEE Trans. Intell. Veh., 2021)

BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency. - Frank M. Hafner; Matthias Zeller; Mark Schutera; Jochen Abhau; Julian F. P. Kooij (IV, 2022)

Automated Annotator Variability Inspection for Biomedical Image Segmentation. - Marcel P. Schilling; Tim Scherr; Friedrich R. Münke; Oliver Neumann; Mark Schutera; Ralf Mikut; Markus Reischl (IEEE Access, 2022)

A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems. - Mark Schutera (2023)

Defensive Perception: Estimation and Monitoring of Neural Network Performance Under Deployment. - Hendrik Vogt; Stefan Buehler; Mark Schutera (Epi UAI, 2024)

Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters. - David Exler; Mark Schutera; Markus Reischl; Luca Rettenberger (CoRR, 2025)

Assessing political bias in large language models. - Luca Rettenberger; Markus Reischl; Mark Schutera (J. Comput. Soc. Sci., 2025)