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.

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.

Available from: https://sites.google.com/view/dl-meets-astrophysics-2020/

Weyland, Mathias S.; Flumini, Dandolo; Schneider, Johannes J.; Füchslin, Rudolf M.,

2020.

A compiler framework to derive microfluidic platforms for manufacturing hierarchical, compartmentalized structures that maximize yield of chemical reactions [paper].

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

Füchslin, Rudolf Marcel,

2020.

AI = Arational Intelligence?.

ANG-Fokus.

2020(1), pp. 26-29.

Doran, Hans Dermot; Reif, Monika Ulrike; Oehler, Marco; Stöhr, Curdin; Capone, Pierluigi,

2020.

Conceptual design of human-drone communication in collaborative environments [paper].

In:

2020 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).

International Conference on Dependable Systems and Networks Workshops (DSN-W), Valencia, Spain, 29 June - 2 July 2020.

IEEE.

pp. 118-121.

Available from: https://doi.org/10.1109/DSN-W50199.2020.00030