ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R

18 August 2015

Papers citing "ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R"

50 / 226 papers shown

Title
LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping J. Schmidinger S. Vogel V. Barkov A.-D. Pham R. Gebbers ... P. Rosso M. M. Costa R. S. Zandonadi J. Wetterlind M. Atzmueller 63 0 0 27 Feb 2025
Rashomon perspective for measuring uncertainty in the survival predictive maintenance models Yigitcan Yardimci Mustafa Cavus 39 2 0 16 Feb 2025
Effect of hyperparameters on variable selection in random forests C. Fouodo Lea L. Kronziel Inke R. König Silke Szymczak 61 0 0 28 Jan 2025
Treatment Effect Estimation with Observational Network Data using Machine Learning Corinne Emmenegger Meta-Lina Spohn Timon Elmer Peter Buhlmann CML 65 3 1 20 Jan 2025
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study Jakob Schwerter Andrés Romero Florian Dumpert Markus Pauly 82 0 0 18 Dec 2024
Oblique Bayesian additive regression trees Paul-Hieu V. Nguyen Ryan Yee Sameer K. Deshpande 24 0 0 13 Nov 2024
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space Jingdi Chen Hanhan Zhou Yongsheng Mei Carlee Joe-Wong Gina Adam Nathaniel D. Bastian Tian-Shing Lan OffRL 30 0 0 21 Oct 2024
Do LLMs write like humans? Variation in grammatical and rhetorical styles Alex Reinhart David West Brown Ben Markey Michael Laudenbach Kachatad Pantusen Ronald Yurko Gordon Weinberg DeLMO 38 7 0 21 Oct 2024
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 77 2 0 07 Oct 2024
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection Hengrui Luo Meng Li 33 2 0 03 Oct 2024
AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction Cabrel Teguemne Fokam Carsten Jentsch Michel Lang Markus Pauly AI4TS 27 0 0 01 Oct 2024
Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches A. Groll L. M. Hvattum Christophe Ley Jonas Sternemann G. Schauberger A. Zeileis 15 0 0 01 Oct 2024
Model-independent variable selection via the rule-based variable priority Min Lu H. Ishwaran 12 0 0 13 Sep 2024
Multi forests: Variable importance for multi-class outcomes Roman Hornung Alexander Hapfelmeier 31 1 0 13 Sep 2024
forester: A Tree-Based AutoML Tool in R Hubert Ruczyński Anna Kozak 43 1 0 07 Sep 2024
Automatic detection of Mild Cognitive Impairment using high-dimensional acoustic features in spontaneous speech Cong Zhang Wenxing Guo Hongsheng Dai 16 1 0 29 Aug 2024
Simplifying Random Forests' Probabilistic Forecasts Nils Koster Fabian Kruger UQCV 29 2 0 22 Aug 2024
missForestPredict -- Missing data imputation for prediction settings Elena Albu Shan Gao L. Wynants Ben Van Calster 42 2 0 02 Jul 2024
Distributional Regression U-Nets for the Postprocessing of Precipitation Ensemble Forecasts Romain Pic Clément Dombry Philippe Naveau Maxime Taillardat 42 0 0 02 Jul 2024
Hidden Variables unseen by Random Forests Ricardo Blum M. Hiabu E. Mammen J. T. Meyer 49 0 0 19 Jun 2024
TREE: Tree Regularization for Efficient Execution Lena Schmid Daniel Biebert Christian Hakert Kuan-Hsun Chen Michel Lang Markus Pauly Jian-Jia Chen 37 0 0 18 Jun 2024
Parallelizing MCMC with Machine Learning Classifier and Its Criterion Based on Kullback-Leibler Divergence Tomoki Matsumoto Yuichiro Kanazawa 44 0 0 17 Jun 2024
A Large-Scale Neutral Comparison Study of Survival Models on Low-Dimensional Data Lukas Burk John Zobolas Bernd Bischl Andreas Bender Marvin N. Wright R. Sonabend 47 2 0 06 Jun 2024
Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen G. Schollmeyer Julian Rodemann Hannah Blocher Thomas Augustin 49 4 0 06 Jun 2024
Combining data from multiple sources for urban travel mode choice modelling Maciej Grzenda Marcin Luckner Jakub Zawieska Przemyslaw Wrona 21 0 0 15 May 2024
New allometric models for the USA create a step-change in forest carbon estimation, modeling, and mapping L. Johnson Michael J. Mahoney G. Domke Colin M. Beier 26 1 0 07 May 2024
A model-free subdata selection method for classification Rakhi Singh 38 0 0 29 Apr 2024
The CAST package for training and assessment of spatial prediction models in R Hanna Meyer M. Ludwig Carles Mila Jan Linnenbrink Fabian Schumacher 24 7 0 10 Apr 2024
Even naive trees are consistent Nico Foge Markus Pauly Lena Schmid Marc Ditzhaus 42 0 0 10 Apr 2024
What is to be gained by ensemble models in analysis of spectroscopic data? Katarina Domijan 40 2 0 02 Apr 2024
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 43 2 0 15 Mar 2024
Adapting tree-based multiple imputation methods for multi-level data? A simulation study Ketevan Gurtskaia Jakob Schwerter Philipp Doebler Markus Pauly Philipp Doebler AI4CE 71 0 0 25 Jan 2024
Evaluating tree-based imputation methods as an alternative to MICE PMM for drawing inference in empirical studies Jakob Schwerter Ketevan Gurtskaia Andrés Romero Birgit Zeyer-Gliozzo Markus Pauly 31 2 0 17 Jan 2024
Factor Importance Ranking and Selection using Total Indices Chaofan Huang V. R. Joseph 28 1 0 01 Jan 2024
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction Anders Hjort G. Hermansen Johan Pensar Jonathan P. Williams 36 1 0 11 Dec 2023
Auto-encoding GPS data to reveal individual and collective behaviour Saint-Clair Chabert-Liddell Nicolas Bez Pierre Gloaguen Sophie Donnet Stéphanie Mahévas 18 1 0 01 Dec 2023
AdaptiveConformal: An R Package for Adaptive Conformal Inference Herbert Susmann Antoine Chambaz Julie Josse 23 1 0 01 Dec 2023
Tree-based Forecasting of Day-ahead Solar Power Generation from Granular Meteorological Features Nick Berlanger Noah van Ophoven Tim Verdonck Ines Wilms 11 0 0 30 Nov 2023
Practical considerations for variable screening in the super learner Brian D. Williamson Drew King Ying Huang 35 0 0 06 Nov 2023
fmeffects: An R Package for Forward Marginal Effects Holger Lowe Christian A. Scholbeck Christian Heumann B. Bischl Giuseppe Casalicchio 16 0 0 03 Oct 2023
Model-based causal feature selection for general response types Lucas Kook Sorawit Saengkyongam A. Lundborg Torsten Hothorn Jonas Peters CML OOD 11 4 0 22 Sep 2023
survex: an R package for explaining machine learning survival models Mikolaj Spytek Mateusz Krzyzinski Sophie Hanna Langbein Hubert Baniecki Marvin N. Wright P. Biecek 39 16 0 30 Aug 2023
Small Area Estimation with Random Forests and the LASSO Victoire Michal J. Wakefield A. M. Schmidt Alicia C. Cavanaugh Brian E. Robinson J. Baumgartner 25 2 0 29 Aug 2023
Optimally weighted average derivative effects Oliver Hines Karla Diaz-Ordaz S. Vansteelandt CML 34 2 0 10 Aug 2023
Evaluation of network-guided random forest for disease gene discovery Jianchang Hu S. Szymczak 11 1 0 02 Aug 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model Chan Hsu Wei Huang Jun-Ting Wu Chih-Yuan Li Yihuang Kang 31 0 0 28 Jul 2023
Adaptive debiased machine learning using data-driven model selection techniques L. Laan M. Carone Alexander Luedtke Mark van der Laan 29 7 0 24 Jul 2023
Ensemble learning for blending gridded satellite and gauge-measured precipitation data Georgia Papacharalampous Hristos Tyralis N. Doulamis Anastasios Doulamis 32 8 0 09 Jul 2023
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation Sigrid Passano Hellan Huibin Shen Franccois-Xavier Aubet David Salinas Aaron Klein 35 1 0 29 Jun 2023
Can predictive models be used for causal inference? Maximilian Pichler F. Hartig OOD CML 40 3 0 18 Jun 2023