Patrick Rockenschaub

According to our database, Patrick Rockenschaub authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust prediction under missingness shifts.

Patrick Rockenschaub, Zhicong Xian, Alireza Zamanian, Marta Piperno, Octavia-Andreea Ciora, Elisabeth Pachl, Narges Ahmidi

CoRR, 2024

DomainLab: A modular Python package for domain generalization in deep learning.

Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr

CoRR, 2024

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML.

Robin Van De Water, Hendrik Schmidt, Paul W. G. Elbers, Patrick Thoral, Bert Arnrich, Patrick Rockenschaub

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

From Single-Hospital to Multi-Centre Applications: Enhancing the Generalisability of Deep Learning Models for Adverse Event Prediction in the ICU.

Patrick Rockenschaub, Adam Hilbert, Tabea Kossen, Falk von Dincklage, Vince Istvan Madai, Dietmar Frey

CoRR, 2023

2021

Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes.

Oliver Carr, Avelino Javer, Patrick Rockenschaub, Owen Parsons, Robert Dürichen

Proceedings of the Machine Learning for Health, 2021