Publikationen
Nachfolgend finden Sie Publikationen von Mitarbeitenden des Instituts für Angewandte Mathematik und Physik (IAMP) nach Erscheinungsdatum sortiert:
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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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Venturini, Francesca,
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.
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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.
S. 602-604.
Verfügbar unter: https://doi.org/10.21256/zhaw-22127
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Füchslin, Rudolf Marcel,
2020.
ANG-Fokus.
2020(1), S. 26-29.