A General Machine Learning Framework for Survival Analysis

27 June 2020

Papers citing "A General Machine Learning Framework for Survival Analysis"

6 / 6 papers shown

Title
Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics Alberto Archetti F. Ieva Matteo Matteucci FedML 25 10 0 04 Aug 2023
mixdistreg: An R Package for Fitting Mixture of Experts Distributional Regression with Adaptive First-order Methods David Rügamer 37 0 0 04 Feb 2023
Nonparametric Conditional Local Independence Testing Alexander Mangulad Christgau Lasse Petersen N. Hansen 24 8 0 25 Mar 2022
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation Tobias Weber Michael Ingrisch Bernd Bischl David Rügamer 17 1 0 21 Oct 2021
Semi-Structured Deep Piecewise Exponential Models Philipp Kopper Sebastian Polsterl Christian Wachinger B. Bischl Andreas Bender David Rügamer 35 21 0 11 Nov 2020
ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R Marvin N. Wright A. Ziegler 124 2,741 0 18 Aug 2015