SurvSHAP(t): Time-dependent explanations of machine learning survival models

23 August 2022

Papers citing "SurvSHAP(t): Time-dependent explanations of machine learning survival models"

8 / 8 papers shown

Title
Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests Giuseppe Loffredo Elvira Romano Fabrizio Maturo 38 0 0 25 Apr 2025
Efficient and Accurate Explanation Estimation with Distribution Compression Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek FAtt 50 3 0 26 Jun 2024
Interpretable Prediction and Feature Selection for Survival Analysis Mike Van Ness Madeleine Udell 39 2 0 23 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
FastSHAP: Real-Time Shapley Value Estimation N. Jethani Mukund Sudarshan Ian Covert Su-In Lee Rajesh Ranganath TDI FAtt 67 127 0 15 Jul 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 44 28 0 18 Apr 2021
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