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2020 – today
- 2024
[c6]Hendrik Vogt, Stefan Buehler, Mark Schutera:
Defensive Perception: Estimation and Monitoring of Neural Network Performance Under Deployment. Epi UAI 2024: 44-58- [i4]Luca Rettenberger
, Markus Reischl, Mark Schutera:
Assessing Political Bias in Large Language Models. CoRR abs/2405.13041 (2024) - 2023
- [b1]Mark Schutera:
A Concept for Deployment and Evaluation of Unsupervised Domain Adaptation in Cognitive Perception Systems. Karlsruhe Institute of Technology, Germany, 2023 - [i3]Hendrik Vogt, Stefan Buehler, Mark Schutera:
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment. CoRR abs/2308.06299 (2023) - 2022
- [j4]Marcel P. Schilling, Tim Scherr, Friedrich R. Münke, Oliver Neumann, Mark Schutera, Ralf Mikut, Markus Reischl:
Automated Annotator Variability Inspection for Biomedical Image Segmentation. IEEE Access 10: 2753-2765 (2022) - [c5]Frank M. Hafner, Matthias Zeller, Mark Schutera, Jochen Abhau, Julian F. P. Kooij:
BackboneAnalysis: Structured Insights into Compute Platforms from CNN Inference Latency. IV 2022: 1801-1809 - 2021
- [j3]Mark Schutera, Frank M. Hafner, Jochen Abhau, Veit Hagenmeyer, Ralf Mikut, Markus Reischl:
Cuepervision: self-supervised learning for continuous domain adaptation without catastrophic forgetting. Image Vis. Comput. 106: 104079 (2021) - [j2]Mark Schutera, Mostafa Hussein, Jochen Abhau, Ralf Mikut, Markus Reischl:
Night-to-Day: Online Image-to-Image Translation for Object Detection Within Autonomous Driving by Night. IEEE Trans. Intell. Veh. 6(3): 480-489 (2021) - [c4]Johannes Bernhard, Thomas Schulik, Mark Schutera, Eric Sax:
Adaptive test case selection for DNN-based perception functions. ISSE 2021: 1-7 - [c3]Johannes Bernhard, Mark Schutera, Eric Sax:
Optimizing test-set diversity: Trajectory clustering for scenario-based testing of automated driving systems. ITSC 2021: 1371-1378
2010 – 2019
- 2019
- [j1]Mark Schutera, Stefan Elser, Jochen Abhau, Ralf Mikut, Markus Reischl:
Strategies for supplementing recurrent neural network training for spatio-temporal prediction. Autom. 67(7): 545-556 (2019) - [c2]Mark Schutera, Frank M. Hafner, Hendrik Vogt, Jochen Abhau, Markus Reischl:
Domain is of the Essence: Data Deployment for City-Scale Multi-Camera Vehicle Re-Identification. AVSS 2019: 1-6 - 2018
- [c1]Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl:
Transfer Learning versus Multiagent Learning regarding Distributed Decision-Making in Highway Traffic. ATT@IJCAI 2018: 57-62 - [i2]Mark Schutera, Niklas Goby, Dirk Neumann, Markus Reischl:
Transfer Learning versus Multi-agent Learning regarding Distributed Decision-Making in Highway Traffic. CoRR abs/1810.08515 (2018) - [i1]Mark Schutera, Niklas Goby, Stefan Smolarek, Markus Reischl:
Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning. CoRR abs/1811.11233 (2018)
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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