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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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/
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Weyland, Mathias S.; Flumini, Dandolo; Schneider, Johannes J.; Füchslin, Rudolf M.,
2020.
In:
ALIFE 2020: The 2020 Conference on Artificial Life.
International Conference on Artificial Life (ALIFE), online, 13-18 July 2020.
Cambridge:
MIT Press.
pp. 602-604.
Available from: https://doi.org/10.1162/isal_a_00303