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"

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Title
Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings? M. Harding Gabriel F. R. Vasconcelos AIFin 13 0 0 09 Feb 2022
Methodology for forecasting and optimization in IEEE-CIS 3rd Technical Challenge Richard Bean 17 3 0 02 Feb 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin-Xia Yu 65 27 0 02 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 19 6 0 30 Jan 2022
Geometry- and Accuracy-Preserving Random Forest Proximities Jake S. Rhodes Adele Cutler Kevin R. Moon 27 76 0 29 Jan 2022
Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? Lena Schmid Alexander Gerharz A. Groll Markus Pauly 17 9 0 14 Jan 2022
Applying Machine Learning and AI Explanations to Analyze Vaccine Hesitancy C. Lange J. Lange 24 1 0 07 Jan 2022
Using Sequential Statistical Tests for Efficient Hyperparameter Tuning P. Buczak A. Groll Markus Pauly J. Rehof Daniel Horn 32 1 0 23 Dec 2021
Confidence intervals for the random forest generalization error Paulo Cilas Cilas Marques Filho UQCV AI4CE 36 10 0 11 Dec 2021
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures R. Sonabend Andreas Bender Sandra Jeanne Vollmer 8 16 0 09 Dec 2021
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers Julia Moosbauer Martin Binder Lennart Schneider Florian Pfisterer Marc Becker Michel Lang Lars Kotthoff Bernd Bischl 13 7 0 29 Nov 2021
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features Lars Henry Berge Olsen I. Glad Martin Jullum K. Aas TDI FAtt 32 17 0 26 Nov 2021
Predicting Mortality from Credit Reports G. Giorgi M. Harding Gabriel F. R. Vasconcelos 18 3 0 05 Nov 2021
On Wasted Contributions: Understanding the Dynamics of Contributor-Abandoned Pull Requests SayedHassan Khatoonabadi D. Costa Rabe Abdalkareem Emad Shihab 35 15 0 28 Oct 2021
mlr3spatiotempcv: Spatiotemporal resampling methods for machine learning in R P. Schratz Marc Becker Michel Lang A. Brenning 39 6 0 25 Oct 2021
fairadapt: Causal Reasoning for Fair Data Pre-processing Drago Plečko Nicolas Bennett N. Meinshausen FaML 8 8 0 19 Oct 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 21 10 0 18 Oct 2021
Personalized Online Machine Learning Ivana Malenica Rachael V. Phillips R. Pirracchio Antoine Chambaz A. Hubbard Mark van der Laan 13 1 0 21 Sep 2021
Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin Rainer Stütz Johann Stockinger Bernhard Haslhofer Pedro A. Moreno-Sánchez Matteo Maffei 13 8 0 21 Sep 2021
Graph-guided random forest for gene set selection Bastian Pfeifer Hubert Baniecki Anna Saranti P. Biecek Andreas Holzinger 41 18 0 26 Aug 2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning Dai Feng R. Baumgartner 29 0 0 19 Aug 2021
Accounting for shared covariates in semi-parametric Bayesian additive regression trees E. Prado Andrew C. Parnell Keefe Murphy Nathan McJames Ann O'Shea R. Moral 34 2 0 17 Aug 2021
One-step ahead sequential Super Learning from short times series of many slightly dependent data, and anticipating the cost of natural disasters Geoffrey Ecoto Aurélien F. Bibaut Antoine Chambaz AI4TS 29 7 0 28 Jul 2021
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization Eva Bartz Martin Zaefferer Olaf Mersmann T. Bartz-Beielstein 16 2 0 19 Jul 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
Test for non-negligible adverse shifts Vathy M. Kamulete 20 3 0 07 Jul 2021
Mutation is all you need Lennart Schneider Florian Pfisterer Martin Binder B. Bischl BDL 60 4 0 04 Jul 2021
Towards Model-informed Precision Dosing with Expert-in-the-loop Machine Learning Yihuang Kang Y. Chiu Ming-Yen Lin F. Su Sheng-Tai Huang 30 2 0 28 Jun 2021
Functional Classwise Principal Component Analysis: A Novel Classification Framework A. Chatterjee Satyaki Mazumder Koel Das 11 0 0 26 Jun 2021
groupShapley: Efficient prediction explanation with Shapley values for feature groups Martin Jullum Annabelle Redelmeier K. Aas TDI FAtt 17 20 0 23 Jun 2021
Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison Benedikt Schulz Sebastian Lerch 13 76 0 17 Jun 2021
RFpredInterval: An R Package for Prediction Intervals with Random Forests and Boosted Forests Cansu Alakus Denis Larocque A. Labbe 16 2 0 15 Jun 2021
Meta-Learning for Symbolic Hyperparameter Defaults Pieter Gijsbers Florian Pfisterer Jan N. van Rijn B. Bischl Joaquin Vanschoren 11 8 0 10 Jun 2021
Hybrid Machine Learning Forecasts for the UEFA EURO 2020 A. Groll L. M. Hvattum Christophe Ley Franziska Popp G. Schauberger Hans Van Eetvelde A. Zeileis 29 6 0 07 Jun 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 35 32 0 25 May 2021
Using Machine Learning Techniques to Identify Key Risk Factors for Diabetes and Undiagnosed Diabetes Avraham Adler 19 2 0 19 May 2021
Business analytics meets artificial intelligence: Assessing the demand effects of discounts on Swiss train tickets M. Huber Jonas Meier H. Wallimann CML 20 19 0 04 May 2021
Model Compression for Dynamic Forecast Combination Vítor Cerqueira Luís Torgo Carlos Soares Albert Bifet AI4TS AI4CE 15 4 0 05 Apr 2021
Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features F. Pargent Florian Pfisterer Janek Thomas B. Bischl 18 81 0 01 Apr 2021
Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators Vítor Cerqueira Luís Torgo Carlos Soares AI4TS 15 6 0 01 Apr 2021
fairmodels: A Flexible Tool For Bias Detection, Visualization, And Mitigation Jakub Wi'sniewski P. Biecek 26 18 0 01 Apr 2021
On the limits of algorithmic prediction across the globe Xingyu Li Difan Song Miaozhe Han Yu Zhang René F. Kizilcec 8 6 0 28 Mar 2021
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R Philipp Bach Victor Chernozhukov Malte S. Kurz Martin Spindler Jan Rabenseifner GP 31 33 0 17 Mar 2021
MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA Clément Bénard Sébastien Da Veiga Erwan Scornet 47 49 0 26 Feb 2021
Generalised Boosted Forests Indrayudh Ghosal Giles Hooker FedML 25 2 0 24 Feb 2021
Semiparametric counterfactual density estimation Edward H. Kennedy Sivaraman Balakrishnan Larry A. Wasserman 8 57 0 24 Feb 2021
Variable importance scores Wei-Yin Loh Peigen Zhou FAtt 11 29 0 13 Feb 2021
Explaining predictive models using Shapley values and non-parametric vine copulas K. Aas T. Nagler Martin Jullum Anders Løland FAtt 19 19 0 12 Feb 2021
Random Planted Forest: a directly interpretable tree ensemble M. Hiabu E. Mammen Josephine T. Meyer 27 5 0 29 Dec 2020
(Decision and regression) tree ensemble based kernels for regression and classification Dai Feng R. Baumgartner 25 2 0 19 Dec 2020