SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms

10 December 2024

Papers citing "SurvBETA: Ensemble-Based Survival Models Using Beran Estimators and Several Attention Mechanisms"

8 / 8 papers shown

Title
Deep Learning for Survival Analysis: A Review S. Wiegrebe Philipp Kopper R. Sonabend Bernd Bischl Andreas Bender 66 76 0 24 May 2023
Ensemble methods for survival function estimation with time-varying covariates Weichi Yao H. Frydman Denis Larocque J. Simonoff 30 16 0 31 May 2020
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 676 5,872 0 25 Jul 2019
A weighted random survival forest Lev V. Utkin A. Konstantinov V. Chukanov M. V. Kots M. Ryabinin A. Meldo 93 41 0 01 Jan 2019
Deep Recurrent Survival Analysis Kan Ren Jiarui Qin Lei Zheng Zhengyu Yang Weinan Zhang Lin Qiu Yong Yu 210 135 0 07 Sep 2018
Machine Learning for Survival Analysis: A Survey Ping Wang Yan Li Chandan K. Reddy CML 155 339 0 15 Aug 2017
Deep Learning for Patient-Specific Kidney Graft Survival Analysis Margaux Luck Tristan Sylvain H. Cardinal Andrea Lodi Yoshua Bengio SyDa 154 116 0 29 May 2017
On the use of Harrell's C for clinical risk prediction via random survival forests M. Schmid Marvin N. Wright A. Ziegler 88 99 0 11 Jul 2015