Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1605.03391
Cited By
Unbiased split variable selection for random survival forests using maximally selected rank statistics
11 May 2016
Marvin N. Wright
Theresa Dankowski
A. Ziegler
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Unbiased split variable selection for random survival forests using maximally selected rank statistics"
14 / 14 papers shown
Title
Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings
África Periánez
Kathrin Schmitz
Lazola Makhupula
Moiz Hassan
Moeti Moleko
Ana Fernández del Río
Ivan Nazarov
Aditya Rastogi
Dexian Tang
OffRL
37
0
0
14 Aug 2024
Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
Jordi Grau-Escolano
Aleix Bassolas
Julian Vicens
32
2
0
26 Apr 2024
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
32
4
0
07 Aug 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
A. Trister
Madhav Nekkar
Ana Fernández del Río
P. Alonso
30
1
0
03 Mar 2023
Actionable Recourse via GANs for Mobile Health
Jennifer Chien
Anna Guitart
Ana Fernández del Río
África Periánez
Lauren Bellhouse
25
1
0
12 Nov 2022
Ensemble feature selection with clustering for analysis of high-dimensional, correlated clinical data in the search for Alzheimer's disease biomarkers
Annette Spooner
Gelareh Mohammadi
P. Sachdev
H. Brodaty
Arcot Sowmya
21
1
0
06 Jul 2022
Prediction of Dilatory Behavior in eLearning: A Comparison of Multiple Machine Learning Models
Christof Imhof
I. Comsa
Martin Hlosta
Behnam Parsaeifard
Ivan Moser
P. Bergamin
32
5
0
30 Jun 2022
AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data
Ruoqi Wang
Ziwang Huang
Haitao Wang
Hejun Wu
20
6
0
28 Aug 2021
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
27
19
0
26 Jun 2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
M. Kovalev
Lev V. Utkin
AAML
35
31
0
05 May 2020
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
Hyperparameters and Tuning Strategies for Random Forest
Philipp Probst
Marvin N. Wright
A. Boulesteix
33
1,351
0
10 Apr 2018
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
158
2,729
0
18 Nov 2015
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
Marvin N. Wright
A. Ziegler
93
2,732
0
18 Aug 2015
1