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
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
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
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
Ranger: A fast implementation of random forests
MN Wright, S Wager, P Probst
R package version 0.12 1, 2020
grf: Generalized random forests
J Tibshirani, S Athey, S Wager, R Friedberg, L Miner, M Wright
R package version 1 (0), 7.3, 2020
Low-level mitochondrial heteroplasmy modulates DNA replication, glucose metabolism and lifespan in mice
M Hirose, P Schilf, Y Gupta, K Zarse, A Künstner, A Fähnrich, H Busch, ...
Scientific reports 8 (1), 5872, 2018
Block forests: random forests for blocks of clinical and omics covariate data
R Hornung, MN Wright
BMC bioinformatics 20, 1-17, 2019
Splitting on categorical predictors in random forests
MN Wright, IR König
PeerJ 7, e6339, 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
Relating the partial dependence plot and permutation feature importance to the data generating process
C Molnar, T Freiesleben, G König, G Casalicchio, MN Wright, B Bischl
arXiv preprint arXiv:2109.01433, 2021
Testing conditional independence in supervised learning algorithms
DS Watson, MN Wright
Machine Learning, 1-23, 2021
Statistical learning approaches in the genetic epidemiology of complex diseases
AL Boulesteix, MN Wright, S Hoffmann, IR König
Human genetics 139, 73-84, 2020
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