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Philipp Kopper
Philipp Kopper
在 stat.uni-muenchen.de 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Deep learning for survival analysis: a review
S Wiegrebe, P Kopper, R Sonabend, B Bischl, A Bender
Artificial Intelligence Review 57 (3), 65, 2024
402024
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models
WH Hartl, P Kopper, A Bender, F Scheipl, AG Day, G Elke, H Küchenhoff
Critical Care 26, 1-12, 2022
302022
Semi-structured deep piecewise exponential models
P Kopper, S Pölsterl, C Wachinger, B Bischl, A Bender, D Rügamer
Survival Prediction-Algorithms, Challenges and Applications, 40-53, 2021
262021
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ...
PLoS One 16 (6), e0251194, 2021
202021
DeepPAMM: deep piecewise exponential additive mixed models for complex hazard structures in survival analysis
P Kopper, S Wiegrebe, B Bischl, A Bender, D Rügamer
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 249-261, 2022
172022
Deepregression: a flexible neural network framework for semi-structured deep distributional regression
D Rügamer, C Kolb, C Fritz, F Pfisterer, P Kopper, B Bischl, R Shen, ...
arXiv preprint arXiv:2104.02705, 2021
17*2021
Lime and neighbourhood
P Kopper
Limitations of Interpretable Machine Learning Methods, 201-222, 2019
42019
Examining properness in the external validation of survival models with squared and logarithmic losses
R Sonabend, J Zobolas, P Kopper, L Burk, A Bender
arXiv:2212.05260, 2024
3*2024
Correction: A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses
H Seibold, S Czerny, S Decke, R Dieterle, T Eder, S Fohr, N Hahn, ...
Plos one 17 (5), e0269047, 2022
32022
Flexible estimation of complex effects in the context of competing risks survival analysis
P Kopper
22020
Pammtools: piece-wise exponential additive mixed modeling tools for survival analysis 0.5. 4., 2020
A Bender, F Scheipl, P Kopper
2
How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression
L Kook, C Kolb, P Schiele, D Dold, M Arpogaus, C Fritz, PF Baumann, ...
arXiv preprint arXiv:2405.05429, 2024
12024
Training Survival Models using Scoring Rules
P Kopper, D Rügamer, R Sonabend, B Bischl, A Bender
arXiv preprint arXiv:2403.13150, 2024
2024
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database
WH Hartl, P Kopper, L Xu, L Heller, M Mironov, R Wang, AG Day, G Elke, ...
Critical Care Medicine 52 (3), e121-e131, 2024
2024
Bedeutung der Proteinzufuhr für die Entwöhnung bei mechanisch beatmeten Intensivpatient* innen–Analyse einer großen internationalen Datenbank
WH Hartl, P Kopper, L Xu, L Heller, M Mironow, R Wang, AG Day, G Elke, ...
Aktuelle Ernährungsmedizin 48 (03), Abstract 23, 2023
2023
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