Marvin N. Wright
Marvin N. Wright
Leibniz Institute for Prevention Research and Epidemiology – BIPS & University of Bremen
Verified email at - Homepage
Cited by
Cited by
SoilGrids250m: Global gridded soil information based on machine learning
T Hengl, J Mendes de Jesus, GBM Heuvelink, M Ruiperez Gonzalez, ...
PLoS one 12 (2), e0169748, 2017
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
MN Wright, A Ziegler
Journal of Statistical Software 77 (1), 1-17, 2017
Hyperparameters and tuning strategies for random forest
P Probst, MN Wright, AL Boulesteix
Wiley Interdisciplinary Reviews: data mining and knowledge discovery 9 (3 …, 2019
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
PeerJ 6, e5518, 2018
The revival of the Gini importance?
S Nembrini, IR König, MN Wright
Bioinformatics 34 (21), 3711-3718, 2018
Unbiased split variable selection for random survival forests using maximally selected rank statistics
MN Wright, T Dankowski, A Ziegler
Statistics in medicine 36 (8), 1272-1284, 2017
Do little interactions get lost in dark random forests?
MN Wright, A Ziegler, IR König
BMC bioinformatics 17, 1-10, 2016
Clinical presentation and long-term outcome of 144 patients with microscopic polyangiitis in a monocentric German cohort
JH Schirmer, MN Wright, R Vonthein, K Herrmann, B Nölle, M Both, ...
Rheumatology 55 (1), 71-79, 2016
Random forest as a generic framework for predictive modeling of spatial and spatio-temporal variables, PeerJ, 6, e5518
T Hengl, M Nussbaum, MN Wright, GBM Heuvelink, B Gräler
On the use of Harrell’s C for clinical risk prediction via random survival forests
M Schmid, MN Wright, A Ziegler
Expert Systems with Applications 63, 450-459, 2016
Ranger: A fast implementation of random forests
MN Wright, S Wager, P Probst
R package version 0.12 1, 2020
Myeloperoxidase–antineutrophil cytoplasmic antibody (ANCA)–positive granulomatosis with polyangiitis (Wegener's) is a clinically distinct subset of ANCA‐associated vasculitis …
JH Schirmer, MN Wright, K Herrmann, M Laudien, B Nölle, ...
Arthritis & Rheumatology 68 (12), 2953-2963, 2016
grf: Generalized random forests
J Tibshirani, S Athey, S Wager, R Friedberg, L Miner, M Wright
R package version 1 (0), 7.3, 2020
Ranger: A fast implementation of random forests for high dimensional data in C++ and RJ Stat. Softw. 77, 1–17
MN Wright, A Ziegler
Relating the partial dependence plot and permutation feature importance to the data generating process
C Molnar, T Freiesleben, G König, J Herbinger, T Reisinger, ...
World Conference on Explainable Artificial Intelligence, 456-479, 2023
neuralnet: Training of Neural Networks. R package version 1.44. 2
S Fritsch, F Guenther, MN Wright, M Suling, SM Mueller
Avaliable at: https://CRAN. R-project. org/package= neuralnet.(accessed …, 2019
Polygenic risk for obesity and its interaction with lifestyle and sociodemographic factors in European children and adolescents
A Hüls, MN Wright, LH Bogl, J Kaprio, L Lissner, D Molnár, LA Moreno, ...
International Journal of Obesity 45 (6), 1321-1330, 2021
Testing conditional independence in supervised learning algorithms
DS Watson, MN Wright
Machine Learning, 1-23, 2021
Splitting on categorical predictors in random forests
MN Wright, IR König
PeerJ 7, e6339, 2019
Block forests: random forests for blocks of clinical and omics covariate data
R Hornung, MN Wright
BMC bioinformatics 20, 1-17, 2019
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