E-LIB Suche - Ergebnisse für: Gumbsch, Thomas

1

Longitudinal Pattern Mining for the Intensive Care Unit:

Gumbsch, Thomas
http://hdl.handle.net/20.500.11850/560134. , 2022

2

Ethnicity-based bias in clinical severity scores:

Gumbsch, Thomas ; Borgwardt, Karsten ; borgwardt
info:eu-repo/semantics/altIdentifier/doi/10.1016/S2589-7500(21)00044-3. , 2021

Link: https://hdl.handle.net/2..

3

Kernel conditional clustering and kernel conditional semi-s..:

He, Xiao ; Gumbsch, Thomas ; Roqueiro, Damian Sabas..
info:eu-repo/semantics/altIdentifier/doi/10.1007/s10115-019-01334-5. , 2020

Link: https://hdl.handle.net/2..

4

Enhancing statistical power in temporal biomarker discovery..:

Gumbsch, Thomas ; Bock, Christian ; id_orcid:0 000-0002-0701-5868...
info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/btaa815. , 2020

Link: https://hdl.handle.net/2..

5

A Wasserstein Subsequence Kernel for Time Series:

Bock, Christian ; id_orcid:0 000-0002-0701-5868 ; Togninalli, Matteo...
info:eu-repo/semantics/altIdentifier/doi/10.1109/ICDM.2019.00108. , 2019

Link: https://hdl.handle.net/2..

6

Neural Persistence: A Complexity Measure for Deep Neural Ne..:

Rieck, Bastian Alexander ; id_orcid:0 000-0003-4335-0302 ; Togninalli, Matteo...
http://hdl.handle.net/20.500.11850/327207. , 2019

Link: https://hdl.handle.net/2..

7

Machine learning for early prediction of circulatory failur..:

Hyland, Stephanie L ; Faltys, Martin ; Hüser, Matthias...
http://arxiv.org/abs/1904.07990. , 2019

Link: http://arxiv.org/abs/190..

8

Association mapping in biomedical time series via statistic..:

Bock, Christian ; Gumbsch, Thomas ; Moor, Michael...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6022601/. , 2018

Link: http://www.ncbi.nlm.nih...

9

Neural Persistence: A Complexity Measure for Deep Neural Ne..:

Rieck, Bastian ; Togninalli, Matteo ; Bock, Christian...
http://arxiv.org/abs/1812.09764. , 2018

Link: http://arxiv.org/abs/181..

10

Association mapping in biomedical time series via statistic..:

Bock, Christian ; Gumbsch, Thomas ; Moor, Michael...
info:eu-repo/semantics/altIdentifier/doi/10.1093/bioinformatics/bty246. , 2018

Link: https://hdl.handle.net/2..

11

Materials Fatigue Prediction Using Graph Neural Networks on..:

Thomas, Akhil ; Durmaz, Ali Riza ; Alam, Mehwish...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-39400-2. , 2023

Link: https://telecom-paris.ha..

12

Materials fatigue prediction using graph neural networks on..:

Thomas, Akhil ; Durmaz, Ali Riza ; Alam, Mehwish...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10397301/. , 2023

Link: http://www.ncbi.nlm.nih...

13

Materials Fatigue Prediction Using Graph Neural Networks on..:

Thomas, Akhil ; Durmaz, Ali Riza ; Alam, Mehwish...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-023-39400-2. , 2023

Link: https://telecom-paris.ha..

14

Materials fatigue prediction using graph neural networks on..:

Thomas, Akhil ; Durmaz, Ali Riza ; Alam, Mehwish...
info:eu-repo/semantics/altIdentifier/wos/001042088200074. , 2023

Link: https://publikationen.bi..

15

Author Correction: Materials fatigue prediction using graph..:

Thomas, Akhil ; Durmaz, Ali Riza ; Alam, Mehwish...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10442314/. , 2023

Link: http://www.ncbi.nlm.nih...