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Journal Articles
- 2023
[j4]Manuel Lentzen
, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich:
A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. IEEE J. Biomed. Health Informatics 27(9): 4548-4558 (2023)- 2022
- [j3]Philipp Wegner, Geena Mariya Jose, Vanessa Lage-Rupprecht, Sepehr Golriz Khatami, Bide Zhang, Stephan Springstubbe, Marc Jacobs, Thomas Linden, Cindy Ku, Bruce Schultz, Martin Hofmann-Apitius, Alpha Tom Kodamullil:
Common data model for COVID-19 datasets. Bioinform. 38(24): 5466-5468 (2022) - 2021
- [j2]Thomas Linden, Johann de Jong, Chao Lu, Victor Kiri, Kathrin Haeffs, Holger Fröhlich:
An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data. Frontiers Artif. Intell. 4: 610197 (2021) - 2020
- [j1]Thomas Linden, Rishabh Khandelwal, Hamza Harkous, Kassem Fawaz:
The Privacy Policy Landscape After the GDPR. Proc. Priv. Enhancing Technol. 2020(1): 47-64 (2020)
Conference and Workshop Papers
- 2021
- [c2]Rishabh Khandelwal, Thomas Linden, Hamza Harkous, Kassem Fawaz:
PriSEC: A Privacy Settings Enforcement Controller. USENIX Security Symposium 2021: 465-482 - 2019
- [c1]Kassem Fawaz, Thomas Linden, Hamza Harkous:
Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice. COMSNETS 2019: 118-124
Informal and Other Publications
- 2018
- [i1]Thomas Linden, Hamza Harkous, Kassem Fawaz:
The Privacy Policy Landscape After the GDPR. CoRR abs/1809.08396 (2018)
Coauthor Index
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