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Meinshausen, Nicolai
163  Ergebnisse:
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1

Predicting sepsis using deep learning across international ..:

Moor, Michael ; Bennett, Nicolas ; Plečko, Drago...
eClinicalMedicine.  62 (2023)  - p. 102124 , 2023
Link: https://doi.org/10.1016/..
 
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2

Predicting sepsis using deep learning across international ..:

Michael Moor ; Nicolas Bennett ; Drago Plečko...
http://www.sciencedirect.com/science/article/pii/S2589537023003012.  , 2023
Link: https://doi.org/10.1016/..
 
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3

ricu: R's interface to intensive care data:

Bennett, Nicolas ; Plečko, Drago ; Ukor, Ida-Fong..
info:eu-repo/semantics/altIdentifier/doi/10.1093/gigascience/giad041.  , 2023
Link: https://hdl.handle.net/2..
 
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4

Confidence and Uncertainty Assessment for Distributional Ra..:

Näf, Jeffrey ; Emmenegger, Corinne ; Bühlmann, Peter.
http://arxiv.org/abs/2302.05761.  , 2023
Link: http://arxiv.org/abs/230..
 
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5

Predicting sepsis using deep learning across international ..:

Moor, Michael ; Bennett, Nicolas ; Plečko, Drago...
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eclinm.2023.102124.  , 2023
Link: https://hdl.handle.net/2..
 
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6

Confidence and Uncertainty Assessment for Distributional Ra..:

Näf, Jeffrey ; id_orcid:0 000-0003-0920-1899 ; Emmenegger, Corinne...
info:eu-repo/semantics/altIdentifier/wos/001130283200001.  , 2023
Link: https://hdl.handle.net/2..
 
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7

Predicting sepsis using deep learning across international ..:

Moor, Michael ; Bennett, Nicolas ; Plečko, Drago...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425671/.  , 2023
Link: http://www.ncbi.nlm.nih...
 
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8

Engression: Extrapolation for Nonlinear Regression?:

Shen, Xinwei ; Meinshausen, Nicolai
http://arxiv.org/abs/2307.00835.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

ricu: R's interface to intensive care data:

Bennett, Nicolas ; Plečko, Drago ; Ukor, Ida-Fong..
GigaScience.  12 (2022)  - p. , 2022
Link: https://doi.org/10.1093/..
 
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10

Robust detection and attribution of climate change under in..:

Székely, Enikő ; Sippel, Sebastian ; Meinshausen, Nicolai..
info:eu-repo/semantics/altIdentifier/doi/10.48550/ARXIV.2212.04905.  , 2022
Link: https://hdl.handle.net/2..
 
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11

Distributional Random Forests: Heterogeneity Adjustment and..:

Ćevid, Domagoj ; Michel, Loris ; Näf, Jeffrey...
http://hdl.handle.net/20.500.11850/585771.  , 2022
Link: https://hdl.handle.net/2..
 
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12

Scalable Sensitivity and Uncertainty Analysis for Causal-Ef..:

Jesson, Andrew ; Douglas, Alyson ; Manshausen, Peter...
http://arxiv.org/abs/2204.10022.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Robust detection and attribution of climate change under in..:

Székely, Enikő ; Sippel, Sebastian ; Meinshausen, Nicolai..
http://arxiv.org/abs/2212.04905.  , 2022
Link: http://arxiv.org/abs/221..
 
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14

The raven's hat: fallen pictures, rising sequences, and oth..:

Peters, Jonas ; Meinshausen, Nicolai ; Meinshausen, Malte , 2021
Link: https://search.ebscohost..
 
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15

Anchor Regression: Heterogeneous Data Meet Causality:

Rothenhäusler, Dominik ; Meinshausen, Nicolai ; Bühlmann, Peter.
Journal of the Royal Statistical Society Series B: Statistical Methodology.  83 (2021)  2 - p. 215-246 , 2021
Link: https://doi.org/10.1111/..
 
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