The Privacy Policy Landscape After the GDPR. - Thomas Linden; Hamza Harkous; Kassem Fawaz (CoRR, 2018)

Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice. - Kassem Fawaz; Thomas Linden; Hamza Harkous (COMSNETS, 2019)

The Privacy Policy Landscape After the GDPR. - Thomas Linden; Rishabh Khandelwal; Hamza Harkous; Kassem Fawaz (Proc. Priv. Enhancing Technol., 2020)

PriSEC: A Privacy Settings Enforcement Controller. - Rishabh Khandelwal; Thomas Linden; Hamza Harkous; Kassem Fawaz (USENIX Security Symposium, 2021)

An Explainable Multimodal Neural Network Architecture for Predicting Epilepsy Comorbidities Based on Administrative Claims Data. - Thomas Linden; Johann de Jong; Chao Lu; Victor Kiri; Kathrin Haeffs; Holger Fröhlich (Frontiers Artif. Intell., 2021)

Common data model for COVID-19 datasets. - Philipp Wegner; Geena Mariya Jose; Vanessa Lage-Rupprecht; Sepehr Golriz Khatami; Bide Zhang; Stephan Springstubbe; Marc Jacobs 001; Thomas Linden; Cindy Ku; Bruce Schultz; Martin Hofmann-Apitius; Alpha Tom Kodamullil (Bioinform., 2022)

A Transformer-Based Model Trained on Large Scale Claims Data for Prediction of Severe COVID-19 Disease Progression. - Manuel Lentzen; Thomas Linden; Sai Veeranki; Sumit Madan; Diether Kramer; Werner Leodolter; Holger Fröhlich (IEEE J. Biomed. Health Informatics, 2023)