Lao, Patrick J.; Vorburger, Robert S.; Narkhede, Atul; Gazes, Yunglin; Igwe, Kay C.; Colón, Juliet; Amarante, Erica; Guzman, Vanessa A.; Last, Briana S.; Habeck, Christian; Stern, Yaakov; Brickman, Adam M.,

2019.

White matter regions with low microstructure in young adults spatially coincide with white matter hyperintensities in older adults.

Frontiers in Aging Neuroscience.

11(345).

Verfügbar unter: https://doi.org/10.21256/zhaw-19129

Michelucci, Umberto,

2019.

Advanced applied deep learning : convolutional neural networks and object detection.

1st edition.

Berkeley:

Apress.

ISBN 978-1-4842-4975-8.

Tørresen, Ole K; Star, Bastiaan; Mier, Pablo; Andrade-Navarro, Miguel A; Bateman, Alex; Jarnot, Patryk; Gruca, Aleksandra; Grynberg, Marcin; Kajava, Andrey V; Promponas, Vasilis J; Anisimova, Maria; Jakobsen, Kjetill S; Linke, Dirk,

2019.

Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases.

Nucleic Acids Research.

Verfügbar unter: https://doi.org/10.21256/zhaw-18481

Ulzega, Simone; Albert, Carlo,

2019.

Bayesian inference for solar dynamo models [Poster].

In:

1st Swiss “Workshop on Machine Learning for Environmental and Geosciences” (MLEG2019), Dübendorf, 16-17 January 2019.

Ulzega, Simone; Albert, Carlo,

2019.

Bayesian inference methods for the calibration of stochastic dynamo models.

In:

4th Solar Dynamo Thinkshop, Rome, Italy, 25 - 26 November 2019.

Ulzega, Simone; Albert, Carlo,

2019.

Bayesian parameter inference with stochastic solar dynamo models [Poster].

In:

PASC19 (Platform for Advanced Scientific Computing), ETH Zurich, 12-14.06.2019.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

Verfügbar unter: https://doi.org/10.21256/zhaw-3225

Albert, Carlo; Ulzega, Simone,

2019.

Can stochastic resonance explain the amplification of planetary tidal forcing?.

In:

4th Solar Dynamo Thinkshop, Rome, Italy, 25 - 26 November 2019.

Uwate, Yoko; Takamaru, Yuji; Ott, Thomas; Nishio, Yoshifumi,

2019.

Clustering using chaotic circuit networks with weighted couplings.

International Journal of Bifurcation and Chaos.

29(4),

S. 1950053.

Verfügbar unter: https://doi.org/10.1142/S0218127419500536

Ott, Thomas; Glüge, Stefan; Bödi, Richard; Kauf, Peter,

2019.

Economic measures of forecast accuracy for demand planning : a case-based discussion

.

In:

Braschler, M.; Stadelmann, T.; Stockinger, K., Hrsg.,

Applied data science : lessons learned for the data-driven business.

Cham:

Springer.

S. 371-386.

Verfügbar unter: https://doi.org/10.1007/978-3-030-11821-1_20

Juchler, Norman; Schilling, Sabine; Bijlenga, Philippe; Rüfenacht, Daniel; Kurtcuoglu, Vartan; Hirsch, Sven,

2019.

Identification of clinically relevant characteristics of intracranial aneurysm morphology [Poster].

In:

1. Digital Health Lab Day (Life in Numbers 5), Wädenswil, 3. October 2019.

ZHAW Zürcher Hochschule für Angewandte Wissenschaften.