1. MILLIMETER-SCALE SEISMOLOGY: IN-VIVO RESULTS FOR MEDICAL ULTRASOUND 

   Ulrich, Ines Elisa (2024)

   Waves are excellent carriers of information. By analysing recorded wave- fields, this information can be extracted and harnessed to learn about the internal characteristics of the propagation medium. As they travel through space and time, waves span many orders of magnitude, which has lead to the extensive study of wave phenomena in many fields of science, including seismology and medical ultrasound. In both fields, a primary interest ...

   Doctoral Thesis

2. Valorization of cocoa pod side streams improves nutritional and sustainability aspects of chocolate 

   Mishra, Kim; Green, Ashley; Burkard, Johannes; et al. (2024)

   Nature Food

   Chocolate production faces nutritional, environmental and socio-economic challenges present in the conventional cocoa value chain. Here we developed an approach that addresses these challenges by repurposing the often-discarded pectin-rich cocoa pod endocarp and converting it into a gel. This is done using cocoa pulp juice concentrate to replace traditional sugar from sugar beets. Although swelling of fibres, proteins and starches can ...

   Journal Article

3. Automating Website Registration for Studying GDPR Compliance 

   Kubicek, Karel; Merane, Jakob; Bouhoula, Ahmed; et al. (2024)

   WWW '24: Proceedings of the ACM on Web Conference 2024

   Investigating how websites use sensitive user data is an active research area. However, research based on automated measurements has been limited to those websites that do not require user authentication. To overcome this limitation, we developed a crawler that automates website registrations and newsletter subscriptions and detects both security and privacy threats at scale. We demonstrate our crawler's capabilities by running it on ...

   Conference Paper

4. Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition 

   Mascarell, Laura; L'Homme, Yan; El Helou, Majed (2024)

   Findings of the Association for Computational Linguistics

   Conference Paper

5. Machine Learning for Biomedical Applications: From Clinical Complications to PCR Bias 

   Fan, Bowen (2024)

   In an era where machine learning~(ML) are reshaping the landscape of biomedical research, this thesis presents a series of integrated studies that demonstrate the profound impact of ML in tackling complex challenges within related applications. The research undertaken in this thesis spans from improving predictive analytics in medical informatics to advancing data interpretation methods in biotechnological research, thus setting a trajectory ...

   Doctoral Thesis

Mehr anzeigen