SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP
Author:
Affiliation:
1. Halmstad University,Center for Applied Intelligent Systems Research (CAISR),Sweden
Funder
CHIST-ERA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10032305/10032324/10032392.pdf?arnumber=10032392
Reference26 articles.
1. SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks;tang;Journal of Machine Learning Research,2022
2. Deep Cox Mixtures for Survival Regression;nagpal;Machine Learning Research,2021
3. "Why Should I Trust You?"
4. Asymptotically Efficient Rank Invariant Test Procedures
5. Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks
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