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ORCIDBibTeX records: Lisa Jöckel
@inproceedings{DBLP:conf/dsn/GrossKJG23,
author = {Janek Gro{\ss} and
Michael Kl{\"{a}}s and
Lisa J{\"{o}}ckel and
Pascal Gerber},
title = {Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification
of Information-Fusion-Enhanced {AI} Models based on Machine Learning},
booktitle = {53rd Annual {IEEE/IFIP} International Conference on Dependable Systems
and Networks, {DSN} 2023 - Workshops, Porto, Portugal, June 27-30,
2023},
pages = {231--238},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/DSN-W58399.2023.00061},
doi = {10.1109/DSN-W58399.2023.00061},
timestamp = {Thu, 17 Aug 2023 15:16:15 +0200},
biburl = {https://dblp.org/rec/conf/dsn/GrossKJG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/mcsoc/ZacchiCUZMJGMD23,
author = {Jo{\~{a}}o{-}Vitor Zacchi and
Francesco Carella and
Priyank Upadhya and
Shanza Ali Zafar and
John Molloy and
Lisa J{\"{o}}ckel and
Janek Gro{\ss} and
N{\'{u}}ria Mata and
Nguyen Anh Vu Doan},
title = {Reliability Estimation of {ML} for Image Perception: {A} Lightweight
Nonlinear Transformation Approach Based on Full Reference Image Quality
Metrics},
booktitle = {16th {IEEE} International Symposium on Embedded Multicore/Many-core
Systems-on-Chip, MCSoC 2023, Singapore, December 18-21, 2023},
pages = {186--193},
publisher = {{IEEE}},
year = {2023},
url = {https://doi.org/10.1109/MCSoC60832.2023.00036},
doi = {10.1109/MCSOC60832.2023.00036},
timestamp = {Fri, 09 Feb 2024 20:38:48 +0100},
biburl = {https://dblp.org/rec/conf/mcsoc/ZacchiCUZMJGMD23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/profes/JockelKGGSETSHMO23,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Janek Gro{\ss} and
Pascal Gerber and
Markus Scholz and
Jonathan Eberle and
Marc Teschner and
Daniel Seifert and
Richard Hawkins and
John Molloy and
Jens Ottnad},
editor = {Regine Kadgien and
Andreas Jedlitschka and
Andrea Janes and
Valentina Lenarduzzi and
Xiaozhou Li},
title = {Operationalizing Assurance Cases for Data Scientists: {A} Showcase
of Concepts and Tooling in the Context of Test Data Quality for Machine
Learning},
booktitle = {Product-Focused Software Process Improvement - 24th International
Conference, {PROFES} 2023, Dornbirn, Austria, December 10-13, 2023,
Proceedings, Part {I}},
series = {Lecture Notes in Computer Science},
volume = {14483},
pages = {151--158},
publisher = {Springer},
year = {2023},
url = {https://doi.org/10.1007/978-3-031-49266-2\_10},
doi = {10.1007/978-3-031-49266-2\_10},
timestamp = {Sat, 09 Dec 2023 19:23:44 +0100},
biburl = {https://dblp.org/rec/conf/profes/JockelKGGSETSHMO23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/safecomp/JockelKGG23,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Janek Gro{\ss} and
Pascal Gerber},
editor = {J{\'{e}}r{\'{e}}mie Guiochet and
Stefano Tonetta and
Erwin Schoitsch and
Matthieu Roy and
Friedemann Bitsch},
title = {Conformal Prediction and Uncertainty Wrapper: What Statistical Guarantees
Can You Get for Uncertainty Quantification in Machine Learning?},
booktitle = {Computer Safety, Reliability, and Security. {SAFECOMP} 2023 Workshops
- ASSURE, DECSoS, SASSUR, SENSEI, SRToITS, and WAISE, Toulouse, France,
September 19, 2023, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {14182},
pages = {314--327},
publisher = {Springer},
year = {2023},
url = {https://doi.org/10.1007/978-3-031-40953-0\_26},
doi = {10.1007/978-3-031-40953-0\_26},
timestamp = {Wed, 20 Sep 2023 23:28:48 +0200},
biburl = {https://dblp.org/rec/conf/safecomp/JockelKGG23.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2305-14872,
author = {Janek Gro{\ss} and
Michael Kl{\"{a}}s and
Lisa J{\"{o}}ckel and
Pascal Gerber},
title = {Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification
of Information-Fusion-Enhanced {AI} Models based on Machine Learning},
journal = {CoRR},
volume = {abs/2305.14872},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2305.14872},
doi = {10.48550/ARXIV.2305.14872},
eprinttype = {arXiv},
eprint = {2305.14872},
timestamp = {Tue, 06 Jun 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2305-14872.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2311-05245,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Georg Popp and
Nadja Hilger and
Stephan Fricke},
title = {Uncertainty Wrapper in the medical domain: Establishing transparent
uncertainty quantification for opaque machine learning models in practice},
journal = {CoRR},
volume = {abs/2311.05245},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2311.05245},
doi = {10.48550/ARXIV.2311.05245},
eprinttype = {arXiv},
eprint = {2311.05245},
timestamp = {Tue, 14 Nov 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2311-05245.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2312-04917,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Janek Gro{\ss} and
Pascal Gerber and
Markus Scholz and
Jonathan Eberle and
Marc Teschner and
Daniel Seifert and
Richard Hawkins and
John Molloy and
Jens Ottnad},
title = {Operationalizing Assurance Cases for Data Scientists: {A} Showcase
of Concepts and Tooling in the Context of Test Data Quality for Machine
Learning},
journal = {CoRR},
volume = {abs/2312.04917},
year = {2023},
url = {https://doi.org/10.48550/arXiv.2312.04917},
doi = {10.48550/ARXIV.2312.04917},
eprinttype = {arXiv},
eprint = {2312.04917},
timestamp = {Wed, 03 Jan 2024 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2312-04917.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/sqj/SiebertJHTNONYA22,
author = {Julien Siebert and
Lisa J{\"{o}}ckel and
Jens Heidrich and
Adam Trendowicz and
Koji Nakamichi and
Kyoko Ohashi and
Isao Namba and
Rieko Yamamoto and
Mikio Aoyama},
title = {Construction of a quality model for machine learning systems},
journal = {Softw. Qual. J.},
volume = {30},
number = {2},
pages = {307--335},
year = {2022},
url = {https://doi.org/10.1007/s11219-021-09557-y},
doi = {10.1007/S11219-021-09557-Y},
timestamp = {Sun, 22 Oct 2023 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/sqj/SiebertJHTNONYA22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/aaai/GerberJK22,
author = {Pascal Gerber and
Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s},
editor = {Gabriel Pedroza and
Jos{\'{e}} Hern{\'{a}}ndez{-}Orallo and
Xin Cynthia Chen and
Xiaowei Huang and
Hu{\'{a}}scar Espinoza and
Mauricio Castillo{-}Effen and
John A. McDermid and
Richard Mallah and
Se{\'{a}}n {\'{O}} h{\'{E}}igeartaigh},
title = {A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty
Estimates for {AI} Models},
booktitle = {Proceedings of the Workshop on Artificial Intelligence Safety 2022
(SafeAI 2022) co-located with the Thirty-Sixth {AAAI} Conference on
Artificial Intelligence (AAAI2022), Virtual, February, 2022},
series = {{CEUR} Workshop Proceedings},
volume = {3087},
publisher = {CEUR-WS.org},
year = {2022},
url = {https://ceur-ws.org/Vol-3087/paper\_7.pdf},
timestamp = {Fri, 10 Mar 2023 16:22:15 +0100},
biburl = {https://dblp.org/rec/conf/aaai/GerberJK22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/safecomp/GrossAKRJG22,
author = {Janek Gro{\ss} and
Rasmus Adler and
Michael Kl{\"{a}}s and
Jan Reich and
Lisa J{\"{o}}ckel and
Roman Gansch},
editor = {Mario Trapp and
Francesca Saglietti and
Marc Spisl{\"{a}}nder and
Friedemann Bitsch},
title = {Architectural Patterns for Handling Runtime Uncertainty of Data-Driven
Models in Safety-Critical Perception},
booktitle = {Computer Safety, Reliability, and Security - 41st International Conference,
{SAFECOMP} 2022, Munich, Germany, September 6-9, 2022, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {13414},
pages = {284--297},
publisher = {Springer},
year = {2022},
url = {https://doi.org/10.1007/978-3-031-14835-4\_19},
doi = {10.1007/978-3-031-14835-4\_19},
timestamp = {Sat, 10 Sep 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/safecomp/GrossAKRJG22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2201-03263,
author = {Pascal Gerber and
Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s},
title = {A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty
Estimates for {AI} Models},
journal = {CoRR},
volume = {abs/2201.03263},
year = {2022},
url = {https://arxiv.org/abs/2201.03263},
eprinttype = {arXiv},
eprint = {2201.03263},
timestamp = {Thu, 20 Jan 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2201-03263.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2202-05313,
author = {Michael Kl{\"{a}}s and
Lisa J{\"{o}}ckel and
Rasmus Adler and
Jan Reich},
title = {Integrating Testing and Operation-related Quantitative Evidences in
Assurance Cases to Argue Safety of Data-Driven {AI/ML} Components},
journal = {CoRR},
volume = {abs/2202.05313},
year = {2022},
url = {https://arxiv.org/abs/2202.05313},
eprinttype = {arXiv},
eprint = {2202.05313},
timestamp = {Fri, 18 Feb 2022 00:00:00 +0100},
biburl = {https://dblp.org/rec/journals/corr/abs-2202-05313.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2206-06838,
author = {Janek Gro{\ss} and
Rasmus Adler and
Michael Kl{\"{a}}s and
Jan Reich and
Lisa J{\"{o}}ckel and
Roman Gansch},
title = {Architectural patterns for handling runtime uncertainty of data-driven
models in safety-critical perception},
journal = {CoRR},
volume = {abs/2206.06838},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2206.06838},
doi = {10.48550/ARXIV.2206.06838},
eprinttype = {arXiv},
eprint = {2206.06838},
timestamp = {Tue, 21 Jun 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2206-06838.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/edcc/KlasASJR21,
author = {Michael Kl{\"{a}}s and
Rasmus Adler and
Ioannis Sorokos and
Lisa J{\"{o}}ckel and
Jan Reich},
title = {Handling Uncertainties of Data-Driven Models in Compliance with Safety
Constraints for Autonomous Behaviour},
booktitle = {17th European Dependable Computing Conference, {EDCC} 2021, Munich,
Germany, September 13-16, 2021},
pages = {95--102},
publisher = {{IEEE}},
year = {2021},
url = {https://doi.org/10.1109/EDCC53658.2021.00021},
doi = {10.1109/EDCC53658.2021.00021},
timestamp = {Sat, 09 Apr 2022 01:00:00 +0200},
biburl = {https://dblp.org/rec/conf/edcc/KlasASJR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/ijcai/KlaesAJGR21,
author = {Michael Klaes and
Rasmus Adler and
Lisa J{\"{o}}ckel and
Janek Gro{\ss} and
Jan Reich},
editor = {Hu{\'{a}}scar Espinoza and
John A. McDermid and
Xiaowei Huang and
Mauricio Castillo{-}Effen and
Xin Cynthia Chen and
Jos{\'{e}} Hern{\'{a}}ndez{-}Orallo and
Se{\'{a}}n {\'{O}} h{\'{E}}igeartaigh and
Richard Mallah and
Gabriel Pedroza},
title = {Using Complementary Risk Acceptance Criteria to Structure Assurance
Cases for Safety-Critical {AI} Components},
booktitle = {Proceedings of the Workshop on Artificial Intelligence Safety 2021
co-located with the Thirtieth International Joint Conference on Artificial
Intelligence {(IJCAI} 2021), Virtual, August, 2021},
series = {{CEUR} Workshop Proceedings},
volume = {2916},
publisher = {CEUR-WS.org},
year = {2021},
url = {https://ceur-ws.org/Vol-2916/paper\_9.pdf},
timestamp = {Fri, 10 Mar 2023 16:23:32 +0100},
biburl = {https://dblp.org/rec/conf/ijcai/KlaesAJGR21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/profes/JockelBKHG21,
author = {Lisa J{\"{o}}ckel and
Thomas Bauer and
Michael Kl{\"{a}}s and
Marc P. Hauer and
Janek Gro{\ss}},
editor = {Luca Ardito and
Andreas Jedlitschka and
Maurizio Morisio and
Marco Torchiano},
title = {Towards a Common Testing Terminology for Software Engineering and
Data Science Experts},
booktitle = {Product-Focused Software Process Improvement - 22nd International
Conference, {PROFES} 2021, Turin, Italy, November 26, 2021, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {13126},
pages = {281--289},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-91452-3\_19},
doi = {10.1007/978-3-030-91452-3\_19},
timestamp = {Wed, 01 Dec 2021 17:46:12 +0100},
biburl = {https://dblp.org/rec/conf/profes/JockelBKHG21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/safecomp/JockelK21,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s},
editor = {Ibrahim Habli and
Mark Sujan and
Friedemann Bitsch},
title = {Could We Relieve {AI/ML} Models of the Responsibility of Providing
Dependable Uncertainty Estimates? {A} Study on Outside-Model Uncertainty
Estimates},
booktitle = {Computer Safety, Reliability, and Security - 40th International Conference,
{SAFECOMP} 2021, York, UK, September 8-10, 2021, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12852},
pages = {18--33},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-83903-1\_2},
doi = {10.1007/978-3-030-83903-1\_2},
timestamp = {Thu, 26 Aug 2021 14:27:15 +0200},
biburl = {https://dblp.org/rec/conf/safecomp/JockelK21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@incollection{DBLP:books/sp/21/BandyszakJKTWW21,
author = {Torsten Bandyszak and
Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Sebastian T{\"{o}}rsleff and
Thorsten Weyer and
Boris Wirtz},
editor = {Wolfgang B{\"{o}}hm and
Manfred Broy and
Cornel Klein and
Klaus Pohl and
Bernhard Rumpe and
Sebastian Schr{\"{o}}ck},
title = {Handling Uncertainty in Collaborative Embedded Systems Engineering},
booktitle = {Model-Based Engineering of Collaborative Embedded Systems},
pages = {147--170},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-62136-0\_7},
doi = {10.1007/978-3-030-62136-0\_7},
timestamp = {Sat, 30 Sep 2023 09:32:41 +0200},
biburl = {https://dblp.org/rec/books/sp/21/BandyszakJKTWW21.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2108-13837,
author = {Lisa J{\"{o}}ckel and
Thomas Bauer and
Michael Kl{\"{a}}s and
Marc P. Hauer and
Janek Gro{\ss}},
title = {Towards a Common Testing Terminology for Software Engineering and
Artificial Intelligence Experts},
journal = {CoRR},
volume = {abs/2108.13837},
year = {2021},
url = {https://arxiv.org/abs/2108.13837},
eprinttype = {arXiv},
eprint = {2108.13837},
timestamp = {Fri, 03 Sep 2021 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2108-13837.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/quatic/SiebertJHNONYA20,
author = {Julien Siebert and
Lisa J{\"{o}}ckel and
Jens Heidrich and
Koji Nakamichi and
Kyoko Ohashi and
Isao Namba and
Rieko Yamamoto and
Mikio Aoyama},
editor = {Martin J. Shepperd and
Fernando Brito e Abreu and
Alberto Rodrigues da Silva and
Ricardo P{\'{e}}rez{-}Castillo},
title = {Towards Guidelines for Assessing Qualities of Machine Learning Systems},
booktitle = {Quality of Information and Communications Technology - 13th International
Conference, {QUATIC} 2020, Faro, Portugal, September 9-11, 2020, Proceedings},
series = {Communications in Computer and Information Science},
volume = {1266},
pages = {17--31},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-58793-2\_2},
doi = {10.1007/978-3-030-58793-2\_2},
timestamp = {Tue, 15 Sep 2020 17:11:57 +0200},
biburl = {https://dblp.org/rec/conf/quatic/SiebertJHNONYA20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/re/NakamichiONYAJS20,
author = {Koji Nakamichi and
Kyoko Ohashi and
Isao Namba and
Rieko Yamamoto and
Mikio Aoyama and
Lisa J{\"{o}}ckel and
Julien Siebert and
Jens Heidrich},
editor = {Travis D. Breaux and
Andrea Zisman and
Samuel Fricker and
Martin Glinz},
title = {Requirements-Driven Method to Determine Quality Characteristics and
Measurements for Machine Learning Software and Its Evaluation},
booktitle = {28th {IEEE} International Requirements Engineering Conference, {RE}
2020, Zurich, Switzerland, August 31 - September 4, 2020},
pages = {260--270},
publisher = {{IEEE}},
year = {2020},
url = {https://doi.org/10.1109/RE48521.2020.00036},
doi = {10.1109/RE48521.2020.00036},
timestamp = {Wed, 14 Oct 2020 13:39:28 +0200},
biburl = {https://dblp.org/rec/conf/re/NakamichiONYAJS20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/safecomp/KlasJ20,
author = {Michael Kl{\"{a}}s and
Lisa J{\"{o}}ckel},
editor = {Ant{\'{o}}nio Casimiro and
Frank Ortmeier and
Erwin Schoitsch and
Friedemann Bitsch and
Pedro M. Ferreira},
title = {A Framework for Building Uncertainty Wrappers for AI/ML-Based Data-Driven
Components},
booktitle = {Computer Safety, Reliability, and Security. {SAFECOMP} 2020 Workshops
- DECSoS 2020, DepDevOps 2020, {USDAI} 2020, and {WAISE} 2020, Lisbon,
Portugal, September 15, 2020, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {12235},
pages = {315--327},
publisher = {Springer},
year = {2020},
url = {https://doi.org/10.1007/978-3-030-55583-2\_23},
doi = {10.1007/978-3-030-55583-2\_23},
timestamp = {Wed, 26 Aug 2020 16:28:48 +0200},
biburl = {https://dblp.org/rec/conf/safecomp/KlasJ20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-2008-11007,
author = {Julien Siebert and
Lisa J{\"{o}}ckel and
Jens Heidrich and
Koji Nakamichi and
Kyoko Ohashi and
Isao Namba and
Rieko Yamamoto and
Mikio Aoyama},
title = {Towards Guidelines for Assessing Qualities of Machine Learning Systems},
journal = {CoRR},
volume = {abs/2008.11007},
year = {2020},
url = {https://arxiv.org/abs/2008.11007},
eprinttype = {arXiv},
eprint = {2008.11007},
timestamp = {Fri, 28 Aug 2020 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2008-11007.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/qrs/JockelKM19,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Silverio Mart{\'{\i}}nez{-}Fern{\'{a}}ndez},
title = {Safe Traffic Sign Recognition through Data Augmentation for Autonomous
Vehicles Software},
booktitle = {19th {IEEE} International Conference on Software Quality, Reliability
and Security Companion, {QRS} Companion 2019, Sofia, Bulgaria, July
22-26, 2019},
pages = {540--541},
publisher = {{IEEE}},
year = {2019},
url = {https://doi.org/10.1109/QRS-C.2019.00114},
doi = {10.1109/QRS-C.2019.00114},
timestamp = {Tue, 21 Mar 2023 00:00:00 +0100},
biburl = {https://dblp.org/rec/conf/qrs/JockelKM19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{DBLP:conf/safecomp/JockelK19,
author = {Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s},
editor = {Alexander B. Romanovsky and
Elena Troubitsyna and
Friedemann Bitsch},
title = {Increasing Trust in Data-Driven Model Validation - {A} Framework for
Probabilistic Augmentation of Images and Meta-data Generation Using
Application Scope Characteristics},
booktitle = {Computer Safety, Reliability, and Security - 38th International Conference,
{SAFECOMP} 2019, Turku, Finland, September 11-13, 2019, Proceedings},
series = {Lecture Notes in Computer Science},
volume = {11698},
pages = {155--164},
publisher = {Springer},
year = {2019},
url = {https://doi.org/10.1007/978-3-030-26601-1\_11},
doi = {10.1007/978-3-030-26601-1\_11},
timestamp = {Mon, 02 Sep 2019 15:11:27 +0200},
biburl = {https://dblp.org/rec/conf/safecomp/JockelK19.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/corr/abs-1909-03036,
author = {Rasmus Adler and
Mohammed Naveed Akram and
Pascal Bauer and
Patrik Feth and
Pascal Gerber and
Andreas Jedlitschka and
Lisa J{\"{o}}ckel and
Michael Kl{\"{a}}s and
Daniel Schneider},
title = {Hardening of Artificial Neural Networks for Use in Safety-Critical
Applications - {A} Mapping Study},
journal = {CoRR},
volume = {abs/1909.03036},
year = {2019},
url = {http://arxiv.org/abs/1909.03036},
eprinttype = {arXiv},
eprint = {1909.03036},
timestamp = {Tue, 17 Sep 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-1909-03036.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
@article{DBLP:journals/cgf/HummelJSHG17,
author = {Mathias Hummel and
Lisa J{\"{o}}ckel and
J. Sch{\"{a}}fer and
Mark W. Hlawitschka and
Christoph Garth},
title = {Visualizing Probabilistic Multi-Phase Fluid Simulation Data using
a Sampling Approach},
journal = {Comput. Graph. Forum},
volume = {36},
number = {3},
pages = {469--477},
year = {2017},
url = {https://doi.org/10.1111/cgf.13203},
doi = {10.1111/CGF.13203},
timestamp = {Sat, 19 Oct 2019 01:00:00 +0200},
biburl = {https://dblp.org/rec/journals/cgf/HummelJSHG17.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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