Publications
The following are publications by staff members of the Institute of Applied Mathematics and Physics (IAMP) arranged according to publication date:
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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.
pp. 84-91.
Available from: https://doi.org/10.1109/SDS60720.2024.00020
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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.
Available from: https://doi.org/10.21256/zhaw-31443
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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.
Available from: https://doi.org/10.21256/zhaw-31444
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Pisanu, Alessia; Saade, Amal; Fabech, Jonas; Weil, Adela,
2024.
In-vitro dental implant primary stability : staircase predicting continuous method.
In:
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.
SSBE.
pp. 11.
Available from: www.zhaw.ch/storage/engineering/institute-zentren/imes/SSBE/Abstract_Book_SSBE_2024.pdf
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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., eds.,
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.
pp. 443-461.
Lecture Notes in Networks and Systems ; 1003.
Available from: https://doi.org/10.1007/978-981-97-3302-6_36