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Unbiased split variable selection for random survival forests using maximally selected rank statistics

11 May 2016

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