A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds

5 May 2020

Papers citing "A robust algorithm for explaining unreliable machine learning survival models using the Kolmogorov-Smirnov bounds"

7 / 7 papers shown

Title
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 43 2 0 15 Mar 2024
Area-norm COBRA on Conditional Survival Prediction Rahul Goswami Arabin Kr. Dey 11 0 0 01 Sep 2023
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
SurvSHAP(t): Time-dependent explanations of machine learning survival models Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek FAtt AI4TS 28 76 0 23 Aug 2022
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 27 19 0 26 Jun 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 108 89 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 119 1,233 0 02 Jun 2016