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"

30 / 30 papers shown

Title
Effect of hyperparameters on variable selection in random forests C. Fouodo Lea L. Kronziel Inke R. König Silke Szymczak 49 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 55 3 1 20 Jan 2025
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 54 2 0 07 Oct 2024
Hidden Variables unseen by Random Forests Ricardo Blum M. Hiabu E. Mammen J. T. Meyer 24 0 0 19 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 23 2 0 06 Jun 2024
What is to be gained by ensemble models in analysis of spectroscopic data? Katarina Domijan 22 2 0 02 Apr 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 41 0 0 25 Jan 2024
Uncertainty quantification in automated valuation models with spatially weighted conformal prediction Anders Hjort G. Hermansen Johan Pensar Jonathan P. Williams 21 1 0 11 Dec 2023
AdaptiveConformal: An R Package for Adaptive Conformal Inference Herbert Susmann Antoine Chambaz Julie Josse 8 1 0 01 Dec 2023
Practical considerations for variable screening in the super learner Brian D. Williamson Drew King Ying Huang 16 0 0 06 Nov 2023
Toward Transparent Sequence Models with Model-Based Tree Markov Model Chan Hsu Wei Huang Jun-Ting Wu Chih-Yuan Li Yihuang Kang 17 0 0 28 Jul 2023
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review A. Ezugwu O. N. Oyelade A. M. Ikotun Jeffery O. Agushaka Y. Ho 19 16 0 15 Apr 2023
A Large-Scale Study of Personal Identifiability of Virtual Reality Motion Over Time Mark Roman Miller Eugy Han C. DeVeaux Eliot Jones Ryan Chen Jeremy N. Bailenson 13 12 0 02 Mar 2023
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals Dirk U. Wulff D. Meier Rui Mata 11 10 0 25 Jan 2023
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 41 11 0 31 Dec 2022
Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models Christof Imhof I. Comsa Martin Hlosta Behnam Parsaeifard Ivan Moser P. Bergamin 14 5 0 30 Jun 2022
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data Ankur Ankan J. Textor CML 6 5 0 09 Jun 2022
Machine Learning and Deep Learning -- A review for Ecologists Maximilian Pichler F. Hartig 8 119 0 11 Apr 2022
Pitfalls and potentials in simulation studies: Questionable research practices in comparative simulation studies allow for spurious claims of superiority of any method Samuel Pawel Lucas Kook K. Reeve 6 26 0 24 Mar 2022
Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques L. Barboza S. Chou P. Vásquez Y. García J. G. Calvo Hugo C. Hidalgo Fabio Sanchez 11 8 0 23 Mar 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin-Xia Yu 63 27 0 02 Feb 2022
Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy C. Lange J. Lange 11 1 0 07 Jan 2022
Confidence intervals for the random forest generalization error Paulo Cilas Cilas Marques Filho UQCV AI4CE 20 9 0 11 Dec 2021
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests SayedHassan Khatoonabadi D. Costa Rabe Abdalkareem Emad Shihab 17 15 0 28 Oct 2021
mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R P. Schratz Marc Becker Michel Lang A. Brenning 15 6 0 25 Oct 2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning Dai Feng R. Baumgartner 11 0 0 19 Aug 2021
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 6 54 0 15 Jun 2020
Maize Yield and Nitrate Loss Prediction with Machine Learning Algorithms Mohsen Shahhosseini R. Martinez-Feria Guiping Hu S. Archontoulis 6 151 0 14 Aug 2019
Empowering individual trait prediction using interactions D. Gola I. König 19 5 0 25 Jan 2019
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data P. Schratz Jannes Muenchow E. Iturritxa Jakob Richter A. Brenning 15 318 0 29 Mar 2018