A Random Forest Guided Tour

18 November 2015

Papers citing "A Random Forest Guided Tour"

50 / 200 papers shown

Title
Gradient boosting machine with partially randomized decision trees A. Konstantinov Lev V. Utkin AI4CE 24 9 0 19 Jun 2020
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects Qiming Du Gérard Biau Franccois Petit R. Porcher CML BDL 15 6 0 08 Jun 2020
Ensemble Learning with Statistical and Structural Models Jiaming Mao Jingzhi Xu 12 1 0 07 Jun 2020
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles Mário Popolin Neto F. Paulovich FAtt 33 88 0 08 May 2020
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters Wei Zhang Quan Chen Kaihua Fu Ningxin Zheng Zhiyi Huang Jingwen Leng Chao Li Wenli Zheng M. Guo 19 3 0 05 May 2020
Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors Shangzhi Hong Yuqi Sun Hanying Li H. Lynn AI4CE 20 1 0 30 Apr 2020
Asymptotic Properties of High-Dimensional Random Forests Chien-Ming Chi Patrick Vossler Yingying Fan Jinchi Lv 6 33 0 29 Apr 2020
Sparsity in Optimal Randomized Classification Trees R. Blanquero E. Carrizosa Cristina Molero-Río Dolores Romero Morales 25 45 0 21 Feb 2020
Stochastic geometry to generalize the Mondrian Process Eliza O'Reilly N. Tran 6 15 0 03 Feb 2020
A random forest based approach for predicting spreads in the primary catastrophe bond market Despoina Makariou P. Barrieu Yining Chen 14 35 0 28 Jan 2020
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 19 10 0 08 Nov 2019
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success L. Mentch Siyu Zhou 11 70 0 01 Nov 2019
Models under which random forests perform badly; consequences for applications J. A. Ferreira 6 4 0 02 Oct 2019
Aggregated Hold-Out G. Maillard Sylvain Arlot M. Lerasle FedML 13 9 0 11 Sep 2019
SIRUS: Stable and Interpretable RUle Set for Classification Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet 42 9 0 19 Aug 2019
The Use of Binary Choice Forests to Model and Estimate Discrete Choices Ningyuan Chen G. Gallego Zhuodong Tang 6 17 0 03 Aug 2019
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems Muhammad Rehman Zafar N. Khan FAtt 6 152 0 24 Jun 2019
Analyzing CART Jason M. Klusowski 30 6 0 24 Jun 2019
Asymptotic Distributions and Rates of Convergence for Random Forests via Generalized U-statistics Weiguang Peng T. Coleman L. Mentch 11 39 0 25 May 2019
Regression-Enhanced Random Forests Haozhe Zhang D. Nettleton Zhengyuan Zhu 11 43 0 23 Apr 2019
A weighted random survival forest Lev V. Utkin A. Konstantinov V. Chukanov M. V. Kots M. Ryabinin A. Meldo 16 40 0 01 Jan 2019
Making Sense of Random Forest Probabilities: a Kernel Perspective Matthew A. Olson A. Wyner UQCV 18 20 0 14 Dec 2018
Learning Interpretable Characteristic Kernels via Decision Forests Sambit Panda Cencheng Shen Joshua T. Vogelstein 26 5 0 30 Nov 2018
Boulevard: Regularized Stochastic Gradient Boosted Trees and Their Limiting Distribution Yichen Zhou Giles Hooker UQCV 25 11 0 26 Jun 2018
GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest Manqing Dong Lina Yao Xianzhi Wang B. Benatallah Shuai Zhang 12 5 0 21 Jun 2018
Dynamic voting in multi-view learning for radiomics applications Hongliu Cao Simon Bernard L. Heutte R. Sabourin 8 6 0 20 Jun 2018
Comparison-Based Random Forests Siavash Haghiri Damien Garreau U. V. Luxburg 14 25 0 18 Jun 2018
Learning Unit State Recognition Based on Multi-channel Data Fusion Feng Tian Jia Yue Xing Wan K. Chao Q. Zheng 22 8 0 25 May 2018
Sharp Analysis of a Simple Model for Random Forests Jason M. Klusowski FAtt 12 21 0 07 May 2018
Hyperparameters and Tuning Strategies for Random Forest Philipp Probst Marvin N. Wright A. Boulesteix 33 1,351 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
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images Hongliu Cao Simon Bernard L. Heutte R. Sabourin 21 59 0 29 Mar 2018
Minimax optimal rates for Mondrian trees and forests Jaouad Mourtada Stéphane Gaïffas Erwan Scornet 46 49 0 15 Mar 2018
Dissimilarity-based representation for radiomics applications Hongliu Cao Simon Bernard L. Heutte R. Sabourin MedIm 21 8 0 12 Mar 2018
Optimal functional supervised classification with separation condition S. Gadat Sébastien Gerchinovitz C. Marteau 20 3 0 10 Jan 2018
Universal consistency and minimax rates for online Mondrian Forests Jaouad Mourtada Stéphane Gaïffas Erwan Scornet 50 16 0 08 Nov 2017
Function space analysis of deep learning representation layers Oren Elisha S. Dekel 30 4 0 09 Oct 2017
Cross-validation improved by aggregation: Agghoo G. Maillard Sylvain Arlot M. Lerasle FedML 19 1 0 12 Sep 2017
Posterior Concentration for Bayesian Regression Trees and Forests Veronika Rockova S. V. D. Pas 17 50 0 29 Aug 2017
Consistency of survival tree and forest models: splitting bias and correction Yifan Cui Ruoqing Zhu Mai Zhou Michael R. Kosorok 11 26 0 30 Jul 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 16 896 0 12 Jun 2017
Optimization of Tree Ensembles V. Mišić 16 101 0 30 May 2017
One Class Splitting Criteria for Random Forests Nicolas Goix Nicolas Drougard Romain Brault Maël Chiapino 21 18 0 07 Nov 2016
Arbres CART et Forêts aléatoires, Importance et sélection de variables Robin Genuer Jean-Michel Poggi 66 10 0 26 Oct 2016
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 41 1,336 0 05 Oct 2016
Unbiased split variable selection for random survival forests using maximally selected rank statistics Marvin N. Wright Theresa Dankowski A. Ziegler 15 128 0 11 May 2016
Neural Random Forests Gérard Biau Erwan Scornet Johannes Welbl UQCV BDL 15 113 0 25 Apr 2016
Comments on: "A Random Forest Guided Tour" by G. Biau and E. Scornet Sylvain Arlot Robin Genuer 21 0 0 06 Apr 2016
Cellular Tree Classifiers Gérard Biau Luc Devroye 120 9 0 20 Jan 2013
Gene selection with guided regularized random forest Houtao Deng G. Runger 86 288 0 28 Sep 2012