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2020 – today
- 2024
[j1]Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender:
Deep learning for survival analysis: a review. Artif. Intell. Rev. 57(3): 65 (2024)- 2023
- [i4]Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Andreas Bender:
Deep Learning for Survival Analysis: A Review. CoRR abs/2305.14961 (2023) - 2022
- [c2]Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender
, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. PAKDD (2) 2022: 249-261 - [c1]David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl:
Factorized Structured Regression for Large-Scale Varying Coefficient Models. ECML/PKDD (5) 2022: 20-35 - [i3]Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer:
DeepPAMM: Deep Piecewise Exponential Additive Mixed Models for Complex Hazard Structures in Survival Analysis. CoRR abs/2202.07423 (2022) - [i2]David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl:
Factorized Structured Regression for Large-Scale Varying Coefficient Models. CoRR abs/2205.13080 (2022) - 2021
- [i1]Patrick Schulze, Simon Wiegrebe, Paul W. Thurner, Christian Heumann, Matthias Aßenmacher, Sandra Wankmüller:
Exploring Topic-Metadata Relationships with the STM: A Bayesian Approach. CoRR abs/2104.02496 (2021)
Coauthor Index
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