E-LIB Suche - Ergebnisse für: Sick, Beate

1

Bernstein flows for flexible posteriors in variational Baye:

Dürr, Oliver ; Hörtling, Stefan ; Dold, Danil..
AStA Advances in Statistical Analysis. , 2024

Link: https://doi.org/10.1007/..

2

Short-Term Density Forecasting of Low-Voltage Load Using Be..:

Arpogaus, Marcel ; Voss, Marcus ; Sick, Beate..
IEEE Transactions on Smart Grid. 14 (2023) 6 - p. 4902-4911 , 2023

Link: https://doi.org/10.1109/..

3

Distributional anchor regression:

Kook, Lucas ; Sick, Beate ; Bühlmann, Peter
Statistics and Computing. 32 (2022) 3 - p. , 2022

Link: https://doi.org/10.1007/..

4

Deep and interpretable regression models for ordinal outcom..:

Kook, Lucas ; Herzog, Lisa ; Hothorn, Torsten..
Pattern Recognition. 122 (2022) - p. 108263 , 2022

Link: https://doi.org/10.1016/..

5

Deep transformation models for functional outcome predictio..:

Herzog, Lisa ; Kook, Lucas ; Götschi, Andrea...
Biometrical Journal. 65 (2022) 6 - p. , 2022

Link: https://doi.org/10.1002/..

6

Machine‐learning‐based outcome prediction in stroke patient..:

Hamann, Janne ; Herzog, Lisa ; Wehrli, Carina...
European Journal of Neurology. 28 (2020) 4 - p. 1234-1243 , 2020

Link: https://doi.org/10.1111/..

7

Probabilistic deep learning: with Python, Keras, and Tensor..:

Dürr, Oliver ; Sick, Beate ; Murina, Elvis , 2020

Link: https://learning.oreilly..

8

A prospective observational study on trajectories and progn..:

Knecht, Christina ; Hartnack, Sonja ; Sick, Beate...
BMC Musculoskeletal Disorders. 21 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

9

Integrating uncertainty in deep neural networks for MRI bas..:

Herzog, Lisa ; Murina, Elvis ; Dürr, Oliver..
Medical Image Analysis. 65 (2020) - p. 101790 , 2020

Link: https://doi.org/10.1016/..

10

Beyond ImageNet: Deep Learning in Industrial Practice:

, In: Applied Data Science,

Stadelmann, Thilo ; Tolkachev, Vasily ; Sick, Beate.. - p. 205-232 , 2019

Link: https://doi.org/10.1007/..

11

Bone erosion scoring for rheumatoid arthritis with deep con..:

Rohrbach, Janick ; Reinhard, Tobias ; Sick, Beate.
Computers & Electrical Engineering. 78 (2019) - p. 472-481 , 2019

Link: https://doi.org/10.1016/..

12

Patients with a Normal Pressure Hydrocephalus Shunt Have Fe..:

Schenker, Pascale ; Stieglitz, Lennart H. ; Sick, Beate...
World Neurosurgery. 110 (2018) - p. e249-e257 , 2018

Link: https://doi.org/10.1016/..

13

Computer-aided radiological diagnostics improves the preope..:

Porz, Nicole ; Knecht, Urspeter ; Sick, Beate...
Clinical and Translational Neuroscience. 2 (2018) 2 - p. 2514183X1878660 , 2018

Link: https://doi.org/10.1177/..

14

Sensitivities of in vivo markers of arterial organ damage i..:

Frick, Martina ; Baumann, Frederic ; Sick, Beate...
Vasa. 47 (2018) 1 - p. 30-35 , 2018

Link: https://doi.org/10.1024/..

15

Rapid adaptation to microgravity in mammalian macrophage ce..:

Thiel, Cora S. ; de Zélicourt, Diane ; Tauber, Svantje...
Scientific Reports. 7 (2017) 1 - p. , 2017

Link: https://doi.org/10.1038/..