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1605.03391
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Unbiased split variable selection for random survival forests using maximally selected rank statistics
11 May 2016
Marvin N. Wright
Theresa Dankowski
A. Ziegler
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Papers citing
"Unbiased split variable selection for random survival forests using maximally selected rank statistics"
30 / 30 papers shown
Title
Ensemble-Based Survival Models with the Self-Attended Beran Estimator Predictions
Lev V. Utkin
Semen P. Khomets
Vlada A. Efremenko
A. Konstantinov
Natalya M. Verbova
10
0
0
09 Jun 2025
Self-Consistent Equation-guided Neural Networks for Censored Time-to-Event Data
Sehwan Kim
Rui Wang
Wenbin Lu
74
0
0
13 Mar 2025
Survival Concept-Based Learning Models
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
Natalya M. Verbova
68
0
0
09 Feb 2025
SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms
Lev V. Utkin
Semen P. Khomets
Vlada A. Efremenko
A. Konstantinov
164
0
0
10 Dec 2024
The Digital Transformation in Health: How AI Can Improve the Performance of Health Systems
África Periánez
Ana Fernández del Río
Ivan Nazarov
Enric Jané
Moiz Hassan
Aditya Rastogi
Dexian Tang
78
11
0
24 Sep 2024
Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx
Ana Fernández del Río
Michael Brennan Leong
Paulo Saraiva
Ivan Nazarov
Aditya Rastogi
Moiz Hassan
Dexian Tang
África Periánez
OffRL
OnRL
73
2
0
15 Aug 2024
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
58
0
0
14 Aug 2024
Cycling into the workshop: predictive maintenance for Barcelona's bike-sharing system
Jordi Grau-Escolano
Aleix Bassolas
Julian Vicens
115
4
0
26 Apr 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models
Lev V. Utkin
Danila Eremenko
A. Konstantinov
67
0
0
11 Dec 2023
A personalized Uncertainty Quantification framework for patient survival models: estimating individual uncertainty of patients with metastatic brain tumors in the absence of ground truth
Yuqi Wang
Aarzu Gupta
David Carpenter
Trey C Mullikin
Zachary J. Reitman
...
J. Salama
P. Sperduto
Jian-Guo Liu
Mustafa R. Bashir
Kyle J. Lafata
59
0
0
28 Nov 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator
Lev V. Utkin
Danila Eremenko
A. Konstantinov
75
5
0
07 Aug 2023
Opening the random forest black box by the analysis of the mutual impact of features
Luca Voges
Lukas C. Jarren
Stephan Seifert
60
13
0
05 Apr 2023
Adaptive Interventions for Global Health: A Case Study of Malaria
África Periánez
A. Trister
Madhav Nekkar
Ana Fernández del Río
P. Alonso
54
1
0
03 Mar 2023
BENK: The Beran Estimator with Neural Kernels for Estimating the Heterogeneous Treatment Effect
Stanislav R. Kirpichenko
Lev V. Utkin
A. Konstantinov
CML
106
0
0
19 Nov 2022
Actionable Recourse via GANs for Mobile Health
Jennifer Chien
Anna Guitart
Ana Fernández del Río
África Periánez
Lauren Bellhouse
57
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
51
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
93
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
110
7
0
28 Aug 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data
Lev V. Utkin
A. Konstantinov
Kirill Vishniakov
FAtt
113
6
0
16 Jun 2021
SurvNAM: The machine learning survival model explanation
Lev V. Utkin
Egor D. Satyukov
A. Konstantinov
AAML
FAtt
93
30
0
18 Apr 2021
OmiEmbed: a unified multi-task deep learning framework for multi-omics data
Xiaoyu Zhang
Yuting Xing
Kai Sun
Yike Guo
138
65
0
03 Feb 2021
Counterfactual explanation of machine learning survival models
M. Kovalev
Lev V. Utkin
CML
OffRL
117
19
0
26 Jun 2020
Optimal survival trees ensemble
Naz Gul
Nosheen Faiz
D. Brawn
Rafał Kułakowski
Zardad Khan
B. Lausen
14
3
0
18 May 2020
A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds
M. Kovalev
Lev V. Utkin
AAML
81
32
0
05 May 2020
SurvLIME: A method for explaining machine learning survival models
M. Kovalev
Lev V. Utkin
E. Kasimov
292
91
0
18 Mar 2020
Gradient Boosting Survival Tree with Applications in Credit Scoring
M. Bai
Yan Zheng
Yun Shen
17
31
0
09 Aug 2019
Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival
N. Korepanova
H. Seibold
Verena Steffen
Torsten Hothorn
51
14
0
05 Feb 2019
A weighted random survival forest
Lev V. Utkin
A. Konstantinov
V. Chukanov
M. V. Kots
M. Ryabinin
A. Meldo
93
41
0
01 Jan 2019
Hyperparameters and Tuning Strategies for Random Forest
Philipp Probst
Marvin N. Wright
A. Boulesteix
155
1,424
0
10 Apr 2018
Churn Prediction in Mobile Social Games: Towards a Complete Assessment Using Survival Ensembles
África Periánez
A. Saas
Anna Guitart
Colin Magne
139
86
0
06 Oct 2017
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