Publikationen
Nachfolgend finden Sie Publikationen von Mitarbeitenden des Instituts für Angewandte Mathematik und Physik (IAMP) nach Erscheinungsdatum sortiert:
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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.
Verfügbar unter: https://doi.org/10.21256/zhaw-20248
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2020.
Aargauische Naturforschende Gesellschaft.
Verfügbar unter: 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.
Verfügbar unter: https://sites.google.com/view/dl-meets-astrophysics-2020/