Publikationen
Nachfolgend finden Sie Publikationen von Mitarbeitenden des Instituts für Angewandte Mathematik und Physik (IAMP) nach Erscheinungsdatum sortiert:
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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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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
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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.
Verfügbar unter: 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.
S. 11.
Verfügbar unter: 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., 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