BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values

7 January 2021

Papers citing "BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values"

5 / 5 papers shown

Title
SurvSHAP(t): Time-dependent explanations of machine learning survival models Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek FAtt AI4TS 33 76 0 23 Aug 2022
Fast approximations of pseudo-observations in the context of right-censoring and interval-censoring Olivier Bouaziz 17 0 0 07 Sep 2021
Counterfactual explanation of machine learning survival models M. Kovalev Lev V. Utkin CML OffRL 32 19 0 26 Jun 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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015