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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Bolt, Peter; Ziebart, Volker; Jaeger, Christian; Schmid, Nicolas; Stadelmann, Thilo; Füchslin, Rudolf Marcel,
2024.
A simulation study on energy optimization in building control with reinforcement learning[paper].
In:
Suen, Ching Yee; Krzyzak, Adam; Ravanelli, Mirco; Trentin, Edmondo; Subakan, Cem; Nobile, Nicola, eds.,
Artificial Neural Networks in Pattern Recognition.
11th IAPR TC3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR), Montreal, Canada, 10-12 October 2024.
Cham:
Springer.
Available from: https://doi.org/10.1007/978-3-031-71602-7_27
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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.
pp. 37-40.
Available from: 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.
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