Rasmus Adler

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Michael Kläs

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Publications

2022
[c25]
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Rasmus Adler, Michael Klaes:
Assurance Cases as Foundation Stone for Auditing AI-Enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project. HCI (45) 2022: 283-300
[c24]
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Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch:
Architectural Patterns for Handling Runtime Uncertainty of Data-Driven Models in Safety-Critical Perception. SAFECOMP 2022: 284-297
[i7]
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Michael Kläs, Lisa Jöckel, Rasmus Adler, Jan Reich:
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components. CoRR abs/2202.05313 (2022)
[i5]
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  - journals/corr/abs-2206-06838
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Janek Groß, Rasmus Adler, Michael Kläs, Jan Reich, Lisa Jöckel, Roman Gansch:
Architectural patterns for handling runtime uncertainty of data-driven models in safety-critical perception. CoRR abs/2206.06838 (2022)
[i4]
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  - journals/corr/abs-2208-08198
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Rasmus Adler, Michael Klaes:
Assurance Cases as Foundation Stone for Auditing AI-enabled and Autonomous Systems: Workshop Results and Political Recommendations for Action from the ExamAI Project. CoRR abs/2208.08198 (2022)
2021
[c22]
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Michael Kläs, Rasmus Adler, Ioannis Sorokos, Lisa Jöckel, Jan Reich:
Handling Uncertainties of Data-Driven Models in Compliance with Safety Constraints for Autonomous Behaviour. EDCC 2021: 95-102
[c20]
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Michael Klaes, Rasmus Adler, Lisa Jöckel, Janek Groß, Jan Reich:
Using Complementary Risk Acceptance Criteria to Structure Assurance Cases for Safety-Critical AI Components. AISafety@IJCAI 2021
2019
[i2]
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  - journals/corr/abs-1909-03036
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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)

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