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Coffee Lectures – das Programm für Juni / Juli 2024 ist da
In nur 15 Minuten: Holen Sie sich nützliche Tools und Themen, die Sie bei Ihrer täglichen Forschungsarbeit unterstützen – in den Coffee Lectures der ETH-Bibliothek. Weiterlesen
ETH RDM Summer School 2024 für Nachwuchswissenschaftler:innen
Die ETH Research Data Management Summer School 2024 hat noch einige freie Plätze. Nutzen Sie die Gelegenheit und lernen Sie zwischen dem 10. und 14. Juni 2024 mehr über das Thema! Anmeldung und weitere Informationen
Coffee Lectures – das neue Programm ist da
In nur 15 Minuten: Holen Sie sich nützliche Tools und Themen, die Sie bei Ihrer täglichen Forschungsarbeit unterstützen – in den Coffee Lectures der ETH-Bibliothek. Weiterlesen
Neueste Publikationen
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MILLIMETER-SCALE SEISMOLOGY: IN-VIVO RESULTS FOR MEDICAL ULTRASOUND
(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 -
Automating Website Registration for Studying GDPR Compliance
(2024)WWW '24: Proceedings of the ACM on Web Conference 2024Investigating 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 -
Which Information Matters? Dissecting Human-written Multi-document Summaries with Partial Information Decomposition
(2024)Findings of the Association for Computational LinguisticsConference Paper -
Machine Learning for Biomedical Applications: From Clinical Complications to PCR Bias
(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 -