Stefan Brunner
Stefan Brunner
ZHAW
School of Engineering
Sicherheitskritische Systeme A
Technikumstrasse 9
8400 Winterthur
Projekte
- certAInty – A Certification Scheme for AI systems / Teammitglied / laufend
- Machine Protection and Autonomous Predictive Interlock System / Teammitglied / laufend
Publikationen
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Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter; Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,
2024.
MLOps as enabler of trustworthy AI [Paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
S. 37-40.
Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00013
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Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; Amini, Amin; Repetto, Marco; Iranfar, Arman,
2024.
Towards the certification of AI-based systems [Paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
S. 84-91.
Verfügbar unter: https://doi.org/10.1109/SDS60720.2024.00020
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Brunner, Stefan; Reif, Monika Ulrike; Senn, Christoph,
2024.
Deep Ensemble Novelty Detection : novelty detection and fault identification in multivariate data [Paper].
In:
Yang, XS.; Sherratt, S.; Dey, N.; Joshi, A., Hrsg.,
Proceedings of Ninth International Congress on Information and Communication Technology.
9th International Congress on Information and Communication Technology (ICICT), London, United Kindom, 19-22 February 2024.
Singapore:
Springer.
S. 443-461.
Lecture Notes in Networks and Systems ; 1003.
Verfügbar unter: https://doi.org/10.1007/978-981-97-3302-6_36
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Weng, Joanna; Denzel, Philipp; Reif, Monika Ulrike; Schilling, Frank-Peter; Billeter, Yann; Frischknecht-Gruber, Carmen; Brunner, Stefan; Chavarriaga, Ricardo; Repetto, Marco; Iranfar, Arman,
2024.
Certification scheme for artificial intelligence based systems [Paper].
In:
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Verfügbar unter: https://doi.org/10.21256/zhaw-30549
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Brunner, Stefan; Reif, Monika Ulrike; Rejzek, Martin,
2024.
In:
Kołowrocki, Krzysztof; Dąbrowska, Ewa, Hrsg.,
Advances in Reliability, Safety and Security, Part 4.
34th European Safety and Reliability Conference (ESREL), Cracow, Poland, 23-27 June 2024.
Gdynia:
Polish Safety and Reliability Association.
S. 39-48.
Verfügbar unter: https://doi.org/10.21256/zhaw-30985
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Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,
2023.
A comprehensive framework for ensuring the trustworthiness of AI systems [Paper].
In:
Brito, Mário P.; Aven, Terje; Baraldi, Piero; Čepin, Marko; Zio, Enrico, Hrsg.,
Proceeding of the 33rd European Safety and Reliability Conference.
33rd European Safety and Reliability Conference (ESREL), Southampton, United Kingdom, 3-7 September 2023.
Singapore:
Research Publishing.
S. 2772-2779.
Verfügbar unter: https://doi.org/10.3850/978-981-18-8071-1_P230-cd
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Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Senn, Christoph,
2022.
Deep Gaussian mixture model : a novelty detection method for time series [Paper].
In:
Leva, Maria Chiara; Patelli, Edoardo; Podofillini, Luca; Wilson, Simon, Hrsg.,
Proceedings of the 32nd European Safety and Reliability Conference.
32nd European Safety and Reliability Conference (ESREL 2022), Dublin, Ireland, 28 August - 1 September 2022.
Singapore:
Research Publishing.
S. 1291-1298.
Verfügbar unter: https://doi.org/10.3850/978-981-18-5183-4_R22-12-325-cd
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Denzel, Philipp; Brunner, Stefan; Luley, Paul-Philipp; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Amini, Amin; Repetto, Marco; Iranfar, Arman; Weng, Joanna; Chavarriaga, Ricardo,
2023.
A framework for assessing and certifying explainability of health-oriented AI systems.
In:
Explainable AI in Medicine Workshop, Lugano, Switzerland, 2-3 November 2023.