| 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 | 3517 | 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 | 3384 | 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 | 1771 | 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 | 803 | 2018 |
| The revival of the Gini importance? S Nembrini, IR König, MN Wright Bioinformatics 34 (21), 3711-3718, 2018 | 731 | 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 | 209 | 2017 |
| Do little interactions get lost in dark random forests? MN Wright, A Ziegler, IR König BMC bioinformatics 17, 1-10, 2016 | 180 | 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 | 156 | 2018 |
| 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 | 153 | 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 | 149 | 2016 |
| Ranger: A fast implementation of random forests MN Wright, S Wager, P Probst R package version 0.12 1, 2020 | 131 | 2020 |
| grf: Generalized random forests J Tibshirani, S Athey, E Sverdrup, S Wager CRAN: Contributed Packages, 2017 | 124 | 2017 |
| 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 | 121 | 2016 |
| 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 | 87 | 2023 |
| Ranger: A fast implementation of random forests for high dimensional data in C++ and RJ Stat. Softw. 77, 1–17 MN Wright, A Ziegler Preprint at, 2017 | 71 | 2017 |
| Testing conditional independence in supervised learning algorithms DS Watson, MN Wright Machine Learning, 1-23, 2021 | 56 | 2021 |
| 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 | 56 | 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 | 54 | 2021 |
| neuralnet: Training of Neural Networks, 2016 S Fritsch, F Guenther, MN Wright, M Suling, SM Mueller R package version 1 (2), 274, 2018 | 51 | 2018 |
| Splitting on categorical predictors in random forests MN Wright, IR König PeerJ 7, e6339, 2019 | 48 | 2019 |