A Random Forest Guided Tour

18 November 2015

Papers citing "A Random Forest Guided Tour"

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Title
Self-supervised learning -- A way to minimize time and effort for precision agriculture? Michael Marszalek Bertrand Le Saux P. Mathieu A. Nowakowski Daniel Springer 27 7 0 05 Apr 2022
Building Decision Forest via Deep Reinforcement Learning Guixuan Wen Kaigui Wu 19 4 0 01 Apr 2022
IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset Yuhua Yin Ju-Seong Jang Wen Xu Amardeep Singh Jinting Zhu Fariza Sabrina Jin Kwak 16 165 0 30 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 32 1 0 04 Mar 2022
Counter Hate Speech in Social Media: A Survey Dana Alsagheer Hadi Mansourifar W. Shi 15 10 0 21 Feb 2022
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach Ahmad Asgharian Rezaei Justin Munoz Mahdi Jalili H. Khayyam 13 5 0 13 Feb 2022
Meta-Learners for Estimation of Causal Effects: Finite Sample Cross-Fit Performance Gabriel Okasa CML 19 6 0 30 Jan 2022
Adherence Forecasting for Guided Internet-Delivered Cognitive Behavioral Therapy: A Minimally Data-Sensitive Approach Ulysse Côté-Allard M. Pham Alexandra K. Schultz T. Nordgreen J. Tørresen 4 6 0 11 Jan 2022
A phase transition for the probability of being a maximum among random vectors with general iid coordinates Royi Jacobovic O. Zuk 19 2 0 31 Dec 2021
Confidence intervals for the random forest generalization error Paulo Cilas Cilas Marques Filho UQCV AI4CE 28 10 0 11 Dec 2021
Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning H. Hang 18 0 0 05 Dec 2021
There is no Double-Descent in Random Forests Sebastian Buschjäger K. Morik 17 8 0 08 Nov 2021
Improving the Accuracy-Memory Trade-Off of Random Forests Via Leaf-Refinement Sebastian Buschjäger K. Morik 14 3 0 19 Oct 2021
Optimal randomized classification trees R. Blanquero E. Carrizosa Antonios Tsourdos Dolores Romero Morales 11 47 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 19 10 0 18 Oct 2021
Regression with Missing Data, a Comparison Study of TechniquesBased on Random Forests Irving Gómez-Méndez Émilien Joly 18 14 0 18 Oct 2021
On the Trustworthiness of Tree Ensemble Explainability Methods Angeline Yasodhara Azin Asgarian Diego Huang Parinaz Sobhani FAtt 24 5 0 30 Sep 2021
Minimax Rates for High-Dimensional Random Tessellation Forests Eliza O'Reilly N. Tran 17 4 0 22 Sep 2021
WildWood: a new Random Forest algorithm Stéphane Gaïffas Ibrahim Merad Yiyang Yu 19 7 0 16 Sep 2021
Unveiling the potential of Graph Neural Networks for robust Intrusion Detection David Pujol-Perich José Suárez-Varela A. Cabellos-Aparicio Pere Barlet-Ros OOD AAML 25 61 0 30 Jul 2021
Machine Learning for Network-based Intrusion Detection Systems: an Analysis of the CIDDS-001 Dataset José Carneiro Nuno Oliveira Norberto Sousa Eva Maia Isabel Praça 13 14 0 02 Jul 2021
Multivariate Data Explanation by Jumping Emerging Patterns Visualization Mário Popolin Neto F. Paulovich 32 7 0 21 Jun 2021
Cross-Cluster Weighted Forests M. Ramchandran Rajarshi Mukherjee Giovanni Parmigiani 18 2 0 17 May 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 46 100 0 26 Apr 2021
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest Siyu Zhou L. Mentch 20 22 0 30 Mar 2021
Single Test Image-Based Automated Machine Learning System for Distinguishing between Trait and Diseased Blood Samples Sahar Almahfouz Nasser D. Paul Suyash P. Awate 13 0 0 30 Mar 2021
Classification with abstention but without disparities Nicolas Schreuder Evgenii Chzhen FaML 17 23 0 24 Feb 2021
Bridging Breiman's Brook: From Algorithmic Modeling to Statistical Learning L. Mentch Giles Hooker 13 9 0 23 Feb 2021
nTreeClus: a Tree-based Sequence Encoder for Clustering Categorical Series H. Jahanshahi M. Baydogan 16 11 0 20 Feb 2021
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak Muhammad Naeem Jian Yu M. Aamir S. Khan Olayinka Adeleye Zardad Khan 11 23 0 11 Feb 2021
Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification Kailong Liu Xiaosong Hu Huiyu Zhou Lei Tong W. D. Widanage J. Marco 32 131 0 10 Feb 2021
Cost-based feature selection for network model choice Louis Raynal Till Hoffmann J. Onnela 9 4 0 19 Jan 2021
Random Planted Forest: a directly interpretable tree ensemble M. Hiabu E. Mammen Josephine T. Meyer 13 5 0 29 Dec 2020
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem Mochen Yang E. McFowland Gordon Burtch G. Adomavicius CML 12 5 0 19 Dec 2020
(Decision and regression) tree ensemble based kernels for regression and classification Dai Feng R. Baumgartner 25 2 0 19 Dec 2020
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling Taha Toghani Genevera I. Allen 6 9 0 14 Nov 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 20 2 0 10 Nov 2020
Generalized Negative Correlation Learning for Deep Ensembling Sebastian Buschjäger Lukas Pfahler K. Morik FedML BDL UQCV 9 17 0 05 Nov 2020
Comparison Analysis of Tree Based and Ensembled Regression Algorithms for Traffic Accident Severity Prediction M. Umer Saima Sadiq Abid Ishaq S. Ullah Najia Saher H. A. Madni 8 10 0 27 Oct 2020
Smoothing and adaptation of shifted Pólya Tree ensembles Thibault Randrianarisoa 21 3 0 23 Oct 2020
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines A. Konstantinov Lev V. Utkin FedML AI4CE 10 138 0 14 Oct 2020
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines A. Konstantinov Lev V. Utkin 32 5 0 12 Oct 2020
Computational analysis of pathological image enables interpretable prediction for microsatellite instability Jin Zhu Wangwei Wu Yuting Zhang Shiyun Lin Yukang Jiang Rui-Feng Liu Xueqin Wang 23 9 0 07 Oct 2020
Uncovering Feature Interdependencies in High-Noise Environments with Stepwise Lookahead Decision Forests Delilah Donick S. Lera 6 0 0 30 Sep 2020
Random Forest (RF) Kernel for Regression, Classification and Survival Dai Feng R. Baumgartner 19 3 0 31 Aug 2020
Looking Deeper into Tabular LIME Damien Garreau U. V. Luxburg FAtt LMTD 104 30 0 25 Aug 2020
Stochastic Optimization Forests Nathan Kallus Xiaojie Mao 32 48 0 17 Aug 2020
Modeling of time series using random forests: theoretical developments Richard A. Davis M. S. Nielsen AI4TS 11 16 0 06 Aug 2020
Random Forest for Dissimilarity-based Multi-view Learning Simon Bernard Hongliu Cao R. Sabourin L. Heutte 6 2 0 16 Jul 2020
Imputation procedures in surveys using nonparametric and machine learning methods: an empirical comparison Mehdi Dagdoug C. Goga D. Haziza 6 12 0 13 Jul 2020