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2020 – today
- 2023
[c5]Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber:
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. DSN-W 2023: 231-238- [c4]Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy
, Jens Ottnad:
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. PROFES (1) 2023: 151-158 - [c3]Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber:
Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees Can You Get for Uncertainty Quantification in Machine Learning? SAFECOMP Workshops 2023: 314-327 - [i4]Janek Groß, Michael Kläs, Lisa Jöckel, Pascal Gerber:
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning. CoRR abs/2305.14872 (2023) - [i3]Lisa Jöckel, Michael Kläs, Janek Groß, Pascal Gerber, Markus Scholz, Jonathan Eberle, Marc Teschner, Daniel Seifert, Richard Hawkins, John Molloy, Jens Ottnad:
Operationalizing Assurance Cases for Data Scientists: A Showcase of Concepts and Tooling in the Context of Test Data Quality for Machine Learning. CoRR abs/2312.04917 (2023) - 2022
- [c2]Pascal Gerber, Lisa Jöckel, Michael Kläs:
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. SafeAI@AAAI 2022 - [c1]Jan Reich, Pascal Gerber, Nishanth Laxman, Daniel Schneider, Takehito Ogata, Satoshi Otsuka, Tasuku Ishigooka:
Engineering Dynamic Risk and Capability Models to Improve Cooperation Efficiency Between Human Workers and Autonomous Mobile Robots in Shared Spaces. IMBSA 2022: 237-251 - [i2]Pascal Gerber, Lisa Jöckel, Michael Kläs:
A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models. CoRR abs/2201.03263 (2022)
2010 – 2019
- 2019
- [i1]Rasmus Adler, Mohammed Naveed Akram, Pascal Bauer, Patrik Feth, Pascal Gerber, Andreas Jedlitschka, Lisa Jöckel, Michael Kläs, Daniel Schneider:
Hardening of Artificial Neural Networks for Use in Safety-Critical Applications - A Mapping Study. CoRR abs/1909.03036 (2019)
Coauthor Index
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