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Göltz, J. https://orcid.org/0000-0002-5378-932X

Kriener, L. https://orcid.org/0000-0001-5275-9199

Baumbach, A.

Billaudelle, S.

Breitwieser, O.

Cramer, B. https://orcid.org/0000-0001-7948-4391

Dold, D.

Kungl, A. F.

Senn, W.

Schemmel, J.

Meier, K.

Petrovici, M. A. https://orcid.org/0000-0003-2632-0427

Funding for this research was provided by:

EC | Horizon 2020 Framework Programme (800858, 945539)

EC | Horizon 2020 Framework Programme (800858, 945539)

EC | Horizon 2020 Framework Programme (800858, 945539)

EC | Horizon 2020 Framework Programme (720270, 785907, 945539)

EC | Horizon 2020 Framework Programme (720270, 785907, 945539)

EC | Horizon 2020 Framework Programme (720270, 785907, 945539)

EC | Horizon 2020 Framework Programme (800858)

EC | Horizon 2020 Framework Programme (800858, 785907, 945539)

EC | Horizon 2020 Framework Programme (604102, 720270, 785907, 945539)

EC | Horizon 2020 Framework Programme (604102, 720270, 785907)

EC | Horizon 2020 Framework Programme (604102, 800858, 720270, 785907, 945539)

Deutsche Forschungsgemeinschaft

Intel Corporation, INRC grant

Manfred Stärk Foundation

Text and Data Mining valid from 2021-09-17

Version of Record valid from 2021-09-17