SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator

7 August 2023

Papers citing "SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator"

8 / 8 papers shown

Title
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 35 2 0 15 Mar 2024
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 16 0 0 11 Dec 2023
Shap-E: Generating Conditional 3D Implicit Functions Heewoo Jun Alex Nichol DiffM 184 300 0 03 May 2023
SHAP-IQ: Unified Approximation of any-order Shapley Interactions Fabian Fumagalli Maximilian Muschalik Patrick Kolpaczki Eyke Hüllermeier Barbara Hammer 24 27 0 02 Mar 2023
SurvLIMEpy: A Python package implementing SurvLIME Cristian Pachón-García Carlos Hernández-Pérez Pedro Delicado Verónica Vilaplana GP 19 6 0 21 Feb 2023
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 29 19 0 18 Apr 2021
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 98 69 0 18 Mar 2020
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 93 1,011 0 02 Jun 2016