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2024.

MLOps as enabler of trustworthy AI [Paper].

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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

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

Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,

2024.

Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach [Poster].

In:

Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

Winterthur:

ZHAW Zurich University of Applied Sciences.

Verfügbar unter: https://doi.org/10.21256/zhaw-31443

Fischetti, Giulia; Schmid, Nicolas; Bruderer, Simon; Henrici, Andreas; Heitmann, Björn; Scarso, Alessandro; Caldarelli, Guido; Wilhelm, Dirk,

2024.

MuSe Net: a deep learning framework for trustworthy multiplet segmentation in 1D 1H NMR spectra [Poster].

In:

Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.

Winterthur:

ZHAW Zurich University of Applied Sciences.

Verfügbar unter: https://doi.org/10.21256/zhaw-31444

Pisanu, Alessia; Saade, Amal; Fabech, Jonas; Weil, Adela,

2024.

In-vitro dental implant primary stability : staircase predicting continuous method.

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Annual Meeting of the Swiss Society for Biomedical Engineering SSBE Abstract Book.

Annual Meeting of the Swiss Society for Biomedical Engineering SSBE, Winterthur, Switzerland, 5. September 2024.

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S. 11.

Verfügbar unter: www.zhaw.ch/storage/engineering/institute-zentren/imes/SSBE/Abstract_Book_SSBE_2024.pdf