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"

26 / 226 papers shown

Title
OpenCL Performance Prediction using Architecture-Independent Features Beau Johnston G. Falzon Josh Milthorpe 6 8 0 31 Oct 2018
XBART: Accelerated Bayesian Additive Regression Trees Jingyu He Saar Yalov P. R. Hahn 21 25 0 04 Oct 2018
auditor: an R Package for Model-Agnostic Visual Validation and Diagnostics Alicja Gosiewska P. Biecek 9 17 0 19 Sep 2018
Network-based Biased Tree Ensembles (NetBiTE) for Drug Sensitivity Prediction and Drug Sensitivity Biomarker Identification in Cancer Ali Oskooei Matteo Manica Roland Mathis María Rodríguez Martínez 16 35 0 18 Aug 2018
Automatic Exploration of Machine Learning Experiments on OpenML D. Kühn Philipp Probst Janek Thomas B. Bischl AI4CE 14 20 0 28 Jun 2018
Forest Packing: Fast, Parallel Decision Forests J. Browne Tyler M. Tomita Disa Mhembere Randal C. Burns Joshua T. Vogelstein 17 16 0 19 Jun 2018
Positive and Unlabeled Learning through Negative Selection and Imbalance-aware Classification Marco Frasca Nicolò Cesa-Bianchi 9 0 0 18 May 2018
Prediction Rule Reshaping Matt Bonakdarpour S. Chatterjee Rina Foygel Barber John D. Lafferty AI4TS 12 8 0 16 May 2018
Hyperparameters and Tuning Strategies for Random Forest Philipp Probst Marvin N. Wright A. Boulesteix 33 1,353 0 10 Apr 2018
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data P. Schratz Jannes Muenchow E. Iturritxa Jakob Richter A. Brenning 23 319 0 29 Mar 2018
MoNoise: Modeling Noise Using a Modular Normalization System Rob van der Goot Gertjan van Noord 10 35 0 10 Oct 2017
Consistency of survival tree and forest models: splitting bias and correction Yifan Cui Ruoqing Zhu Mai Zhou Michael R. Kosorok 16 7 0 30 Jul 2017
Smooth backfitting of proportional hazards with multiplicative components M. Hiabu E. Mammen M. D. Martínez-Miranda J. Nielsen TPM 13 6 0 14 Jul 2017
Some methods for heterogeneous treatment effect estimation in high-dimensions Scott Powers Junyang Qian Kenneth Jung Alejandro Schuler N. Shah Trevor Hastie Robert Tibshirani CML 25 218 0 01 Jul 2017
Optimization of Tree Ensembles V. Mišić 24 101 0 30 May 2017
To tune or not to tune the number of trees in random forest? Philipp Probst A. Boulesteix 28 384 0 16 May 2017
Splitting matters: how monotone transformation of predictor variables may improve the predictions of decision tree models Tal Galili I. Meilijson 21 7 0 14 Nov 2016
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 43 1,336 0 05 Oct 2016
Big Data analytics. Three use cases with R, Python and Spark Philippe C. Besse Brendan Guillouet Jean-Michel Loubes 29 0 0 30 Sep 2016
Towards the effectiveness of Deep Convolutional Neural Network based Fast Random Forest Classifier M. Panda 14 4 0 28 Sep 2016
Comparison of 14 different families of classification algorithms on 115 binary datasets Jacques Wainer 12 83 0 02 Jun 2016
Forest Floor Visualizations of Random Forests Soeren H. Welling H. H. Refsgaard P. Brockhoff Line H. Clemmensen 19 74 0 30 May 2016
ABC random forests for Bayesian parameter inference Louis Raynal Jean-Michel Marin Pierre Pudlo M. Ribatet Christian P. Robert A. Estoup 34 187 0 18 May 2016
Unbiased split variable selection for random survival forests using maximally selected rank statistics Marvin N. Wright Theresa Dankowski A. Ziegler 20 128 0 11 May 2016
On the use of Harrell's C for clinical risk prediction via random survival forests M. Schmid Marvin N. Wright A. Ziegler 31 96 0 11 Jul 2015
Sparse Projection Oblique Randomer Forests Tyler M. Tomita J. Browne Cencheng Shen Jaewon Chung Jesse Patsolic ... Jason Yim Carey E. Priebe Randal C. Burns Mauro Maggioni Joshua T. Vogelstein 32 43 0 10 Jun 2015