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Towards modelling hazard factors in unstructured data spaces using
  gradient-based latent interpolation

Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation

21 October 2021
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
ArXivPDFHTML

Papers citing "Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation"

2 / 2 papers shown
Title
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex
  Hazard Structures in Survival Analysis
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis
Philipp Kopper
S. Wiegrebe
Bernd Bischl
Andreas Bender
David Rügamer
17
18
0
12 Feb 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
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
102
1,231
0
02 Jun 2016
1