Department Informatik

Impact of Data Sparsity on Machine Learning for Fault Detection in Power System Protection (2025) Oelhaf J, Kordowich G, Kim C, Perez Toro PA, Maier A, Jäger J, Bayer S Unpublished / Preprint Creating a labeled district heating data set: From anomaly detection towards fault detection (2024) Stecher D, Neumayer M, Ramachandran A, Hort A, Maier A, Bücker D, Schmidt J Journal article GNSS Interference Monitoring: Resilience of Machine Learning Methods on Public Real-World Datasets (2024) Heublein L, Raichur NL, Feigl T, Brieger T, Heuer F, Asbach L, Ruegamer A, Ott F Journal article, Original article Leveraging Large Language Models to Generate Course-specific Semantically Annotated Learning Objects (2024) Lohr D, Berges MP, Chugh A, Kohlhase M, Müller D Journal article, Original article Harnessing multimodal approaches for depression detection using large language models and facial expressions (2024) Sadeghi M, Richer R, Egger B, Schindler-Gmelch L, Rupp L, Rahimi F, Berking M, Eskofier B Journal article, Original article TinyEP: TinyML-enhanced Energy Profiling for Extreme Edge Devices (2024) Müller K, Weidner J, Franchi N, Wägemann P Journal article Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges (2024) Ramachandran A, Neergaard TF, Maier A, Bayer S Conference contribution, Conference Contribution Facing depression: evaluating the efficacy of the EmpkinS-EKSpression reappraisal training augmented with facial expressions – protocol of a randomized controlled trial (2024) Keinert EM, Schindler-Gmelch L, Rupp L, Sadeghi M, Capito K, Hager M, Rahimi F, et al. Journal article Detecting Corruptive Noise Rounds for Statistical Disclosure Attacks (2024) Aksoy A, Kesdoǧan D Conference contribution Employees’ Attitudes towards Phishing Simulations: “It’s like when a child reaches onto the hot hob” (2024) Schiller K, Adamsky F, Eichenmüller C, Reimert M, Benenson Z Conference contribution