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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Doran, Hans Dermot; Reif, Monika Ulrike,
2020.
Examining redundancy in the context of safe machine learning[paper].
In:
Proceedings of the Forum for Safety & Security 2020.
Forum Safety & Security, online, 23-24 June 2020.
WEKA.
Available from: https://doi.org/10.21256/zhaw-20248
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2020.
Aargauische Naturforschende Gesellschaft.
Available from: https://anchor.fm/ang1811/episodes/3---Knstliche-Intelligenz-eapt21
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Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,
2020.
Dual oxygen and temperature sensing with single indicator using multi-task-learning neural networks.
In:
SPIE Photonics Europe, Digital Forum, France, 6 - 10 April 2020.
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Venturini, Francesca; Michelucci, Umberto; Baumgartner, Michael,
2020.
Multi-task learning approach for optical luminescence sensing[poster].
In:
Applied Machine Learning Days (AMLD), Lausanne, 25-29 January 2020.
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2020.
Applications of ML to oxygen sensing.
In:
Deep learning meets (Astro)physics : A one day tutorial on neural nets, deep learning and TensorFlow 2.0, with applications to (astro)physics and science, ETHZ, Institute for Particle Physics and Astrophysics, Zurich (Switzerland), 22 January 2020.
Available from: https://sites.google.com/view/dl-meets-astrophysics-2020/