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A Random Forest Guided Tour

A Random Forest Guided Tour

18 November 2015
Gérard Biau
Erwan Scornet
    AI4TS
ArXivPDFHTML

Papers citing "A Random Forest Guided Tour"

31 / 31 papers shown
Title
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
Nonparametric IPSS: Fast, flexible feature selection with false discovery control
Omar Melikechi
David B. Dunson
Jeffrey W. Miller
31
0
0
03 Oct 2024
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles
Youssouf Emine
Alexandre Forel
Idriss Malek
Thibaut Vidal
19
0
0
28 Aug 2024
Hidden Variables unseen by Random Forests
Hidden Variables unseen by Random Forests
Ricardo Blum
M. Hiabu
E. Mammen
J. T. Meyer
22
0
0
19 Jun 2024
A Survey of Meta-features Used for Automated Selection of Algorithms for
  Black-box Single-objective Continuous Optimization
A Survey of Meta-features Used for Automated Selection of Algorithms for Black-box Single-objective Continuous Optimization
Gjorgjina Cenikj
Ana Nikolikj
Gašper Petelin
N. V. Stein
Carola Doerr
T. Eftimov
30
1
0
08 Jun 2024
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
HARGPT: Are LLMs Zero-Shot Human Activity Recognizers?
Sijie Ji
Xinzhe Zheng
Chenshu Wu
29
28
0
05 Mar 2024
An Evaluation of Large Language Models in Bioinformatics Research
An Evaluation of Large Language Models in Bioinformatics Research
Hengchuang Yin
Zhonghui Gu
Fanhao Wang
Yiparemu Abuduhaibaier
Yanqiao Zhu
Xinming Tu
Xian-Sheng Hua
Xiao Luo
Yizhou Sun
LM&MA
19
8
0
21 Feb 2024
Machine Learning For An Explainable Cost Prediction of Medical Insurance
Machine Learning For An Explainable Cost Prediction of Medical Insurance
U. Orji
Elochukwu A. Ukwandu
11
31
0
23 Nov 2023
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance
  for Brain Tumor Resection
Towards Machine Learning-based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection
David G. Black
Declan Byrne
A. Walke
Sidong Liu
A. Di Ieva
S. Kaneko
Walter Stummer
Septimiu Salcudean
E. Molina
11
6
0
17 Nov 2023
Landslide Topology Uncovers Failure Movements
Landslide Topology Uncovers Failure Movements
Kamal Rana
Kushanav Bhuyan
Joaquin Vicente Ferrer
Fabrice Cotton
U. Öztürk
Filippo Catani
Nishant Malik
AI4CE
14
11
0
14 Oct 2023
Machine Learning Based Analytics for the Significance of Gait Analysis
  in Monitoring and Managing Lower Extremity Injuries
Machine Learning Based Analytics for the Significance of Gait Analysis in Monitoring and Managing Lower Extremity Injuries
Mostafa Rezapour
Rachel B. Seymour
Stephen H. Sims
M. Karunakar
Nahir A. Habet
M. Gürcan
10
0
0
27 Sep 2023
Assessment of the suitability of degradation models for the planning of
  CCTV inspections of sewer pipes
Assessment of the suitability of degradation models for the planning of CCTV inspections of sewer pipes
Fidae El Morer
Stefan H. A. Wittek
Andreas Rausch
11
2
0
12 Jul 2023
Classifying World War II Era Ciphers with Machine Learning
Classifying World War II Era Ciphers with Machine Learning
Brooke Dalton
Mark Stamp
17
0
0
02 Jul 2023
Machine Learning technique for isotopic determination of radioisotopes
  using HPGe $\mathrmγ$-ray spectra
Machine Learning technique for isotopic determination of radioisotopes using HPGe γ\mathrmγγ-ray spectra
A. Khatiwada
M. Klasky
M. Lombardi
J. Matheny
A. Mohan
11
10
0
04 Jan 2023
AI-enabled exploration of Instagram profiles predicts soft skills and
  personality traits to empower hiring decisions
AI-enabled exploration of Instagram profiles predicts soft skills and personality traits to empower hiring decisions
M. Harirchian
F. Amin
Saeed Rouhani
Aref Aligholipour
Vahid Amiri Lord
16
3
0
14 Dec 2022
An Interpretable Hybrid Predictive Model of COVID-19 Cases using
  Autoregressive Model and LSTM
An Interpretable Hybrid Predictive Model of COVID-19 Cases using Autoregressive Model and LSTM
Yangyi Zhang
Sui Tang
Guo-Ding Yu
6
11
0
14 Nov 2022
A $k$-additive Choquet integral-based approach to approximate the SHAP
  values for local interpretability in machine learning
A kkk-additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning
G. D. Pelegrina
L. Duarte
M. Grabisch
FAtt
TDI
16
26
0
03 Nov 2022
Investigating Bias with a Synthetic Data Generator: Empirical Evidence
  and Philosophical Interpretation
Investigating Bias with a Synthetic Data Generator: Empirical Evidence and Philosophical Interpretation
Alessandro Castelnovo
Riccardo Crupi
Nicole Inverardi
D. Regoli
A. Cosentini
SyDa
6
3
0
13 Sep 2022
A Computational Exploration of Emerging Methods of Variable Importance
  Estimation
A Computational Exploration of Emerging Methods of Variable Importance Estimation
Louis Mozart Kamdem
Ernest Fokoue
FAtt
16
0
0
05 Aug 2022
FACT: High-Dimensional Random Forests Inference
FACT: High-Dimensional Random Forests Inference
Chien-Ming Chi
Yingying Fan
Jinchi Lv
14
2
0
04 Jul 2022
Explainable Global Error Weighted on Feature Importance: The xGEWFI
  metric to evaluate the error of data imputation and data augmentation
Explainable Global Error Weighted on Feature Importance: The xGEWFI metric to evaluate the error of data imputation and data augmentation
J. Dessureault
Daniel Massicotte
12
5
0
17 Jun 2022
Action Conditioned Tactile Prediction: case study on slip prediction
Action Conditioned Tactile Prediction: case study on slip prediction
Willow Mandil
Kiyanoush Nazari
E. AmirGhalamzan
15
15
0
19 May 2022
Confidence intervals for the random forest generalization error
Confidence intervals for the random forest generalization error
Paulo Cilas Cilas Marques Filho
UQCV
AI4CE
18
9
0
11 Dec 2021
Cross-Cluster Weighted Forests
Cross-Cluster Weighted Forests
M. Ramchandran
Rajarshi Mukherjee
Giovanni Parmigiani
13
2
0
17 May 2021
A Generalized Stacking for Implementing Ensembles of Gradient Boosting
  Machines
A Generalized Stacking for Implementing Ensembles of Gradient Boosting Machines
A. Konstantinov
Lev V. Utkin
19
5
0
12 Oct 2020
Stochastic Optimization Forests
Stochastic Optimization Forests
Nathan Kallus
Xiaojie Mao
10
48
0
17 Aug 2020
Sparsity in Optimal Randomized Classification Trees
Sparsity in Optimal Randomized Classification Trees
R. Blanquero
E. Carrizosa
Cristina Molero-Río
Dolores Romero Morales
12
45
0
21 Feb 2020
Analyzing CART
Analyzing CART
Jason M. Klusowski
15
6
0
24 Jun 2019
Performance evaluation and hyperparameter tuning of statistical and
  machine-learning models using spatial data
Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
P. Schratz
Jannes Muenchow
E. Iturritxa
Jakob Richter
A. Brenning
10
318
0
29 Mar 2018
Improve the performance of transfer learning without fine-tuning using
  dissimilarity-based multi-view learning for breast cancer histology images
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
8
59
0
29 Mar 2018
Cellular Tree Classifiers
Cellular Tree Classifiers
Gérard Biau
Luc Devroye
98
9
0
20 Jan 2013
Gene selection with guided regularized random forest
Gene selection with guided regularized random forest
Houtao Deng
G. Runger
86
285
0
28 Sep 2012
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