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Marvin N Wright

Showing results (11-20 of 36) with videos related to

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Nature|December 16, 2016
Lifespan effects of mitochondrial mutationsMisa Hirose, Paul Schilf, Yask Gupta, et al.
Genetic Epidemiology|May 4, 2021
The Translational Machine: A novel machine-learning approach to illuminate complex genetic architecturesKathleen D Askland, David Strong, Marvin N Wright, et al.
Human Genetics|May 4, 2019
Statistical learning approaches in the genetic epidemiology of complex diseasesAnne-Laure Boulesteix, Marvin N Wright, Sabine Hoffmann, et al.
Journal of Physical Activity & Health|August 29, 2020
Impact of "JolinchenKids-Fit and Healthy in Daycare" on Children's Objectively Measured Physical Activity: A Cluster-Controlled StudyBerit Brandes, Christoph Buck, Marvin N Wright, et al.
Peerj|September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variablesTomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Bioinformatics (Oxford, England)|April 17, 2026
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataLukas Burk, John Zobolas, Bernd Bischl, et al.
Biometrical Journal. Biometrische Zeitschrift|August 20, 2024
Random Survival Forests With Competing Events: A Subdistribution-Based Imputation ApproachCharlotte Behning, Alexander Bigerl, Marvin N Wright, et al.
Human Brain Mapping|April 27, 2026
Explainable AI Insights Into EEG Classification and Its Alignment to Neural CorrelatesHendrik Eilts, Gabriel Ivucic, Niklas Koenen, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 14, 2021
A Random Forest Approach for Bounded Outcome VariablesLeonie Weinhold, Matthias Schmid, Richard Mitchell, et al.
Bioinformatics (Oxford, England)|December 1, 2023
survex: an R package for explaining machine learning survival modelsMikołaj Spytek, Mateusz Krzyziński, Sophie Hanna Langbein, et al.
Pageof 4

Showing results (11-20 of 36) with videos related to

Sort By:
Pageof 4
Nature|December 16, 2016
Lifespan effects of mitochondrial mutationsMisa Hirose, Paul Schilf, Yask Gupta, et al.
Genetic Epidemiology|May 4, 2021
The Translational Machine: A novel machine-learning approach to illuminate complex genetic architecturesKathleen D Askland, David Strong, Marvin N Wright, et al.
Human Genetics|May 4, 2019
Statistical learning approaches in the genetic epidemiology of complex diseasesAnne-Laure Boulesteix, Marvin N Wright, Sabine Hoffmann, et al.
Journal of Physical Activity & Health|August 29, 2020
Impact of "JolinchenKids-Fit and Healthy in Daycare" on Children's Objectively Measured Physical Activity: A Cluster-Controlled StudyBerit Brandes, Christoph Buck, Marvin N Wright, et al.
Peerj|September 7, 2018
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variablesTomislav Hengl, Madlene Nussbaum, Marvin N Wright, et al.
Bioinformatics (Oxford, England)|April 17, 2026
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional DataLukas Burk, John Zobolas, Bernd Bischl, et al.
Biometrical Journal. Biometrische Zeitschrift|August 20, 2024
Random Survival Forests With Competing Events: A Subdistribution-Based Imputation ApproachCharlotte Behning, Alexander Bigerl, Marvin N Wright, et al.
Human Brain Mapping|April 27, 2026
Explainable AI Insights Into EEG Classification and Its Alignment to Neural CorrelatesHendrik Eilts, Gabriel Ivucic, Niklas Koenen, et al.
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|June 14, 2021
A Random Forest Approach for Bounded Outcome VariablesLeonie Weinhold, Matthias Schmid, Richard Mitchell, et al.
Bioinformatics (Oxford, England)|December 1, 2023
survex: an R package for explaining machine learning survival modelsMikołaj Spytek, Mateusz Krzyziński, Sophie Hanna Langbein, et al.
Pageof 4