Lehrstuhl für Informatik 5 (Mustererkennung)


close-button

Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

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Detection in Power System Protection (2025) Oelhaf J, Kordowich G, Kim C, Perez Toro PA, Maier A, Jäger J, Bayer S Unpublished / Preprint Creating a labeled district heating data set: From anomaly detection towards fault detection (2024) Stecher D, Neumayer M, Ramachandran A, Hort A,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 Advancing Heat Demand Forecasting with Attention Mechanisms: Opportunities and Challenges (2024) Ramachandran A, Neergaard TF, Maier A, Bayer S Conference contribution, Conference Contribution SNOBERT: A Benchmark for clinical notes entity linking in the SNOMED CT clinical terminology (2024) Kulyabin M, Sokolov G, Galaida A, Maier A, Arias Vergara T Conference contribution, Original article DIREGA – Building Decision Support for German Register Law (2024) Adrian A, Basaran OA, Dykes N, Evert S, Gritz M, Humml M, Kohlhase M, et al. Conference contribution, Abstract of a poster Enhancing diffusion-weighted prostate MRI through self-supervised denoising and evaluation (2024) Pfaff L, Darwish O, Wagner F, Thies M, Vysotskaya N, Hoßbach J, Weiland E, et al. Journal article Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech (2024) Tayebi Arasteh S, Arias-Vergara T, Perez Toro PA, Weise T, Packhäuser K, Schuster M, Nöth E, et al. Journal article CheXReport: A transformer-based architecture to generate chest X-ray reports suggestions (2024) Zeiser FA, da Costa CA, de Oliveira Ramos G, Maier A, da Rosa Righi R Journal article Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data (2024) Barnhill A, Towers JR, Nöth E, Maier A, Bergler C Conference contribution, Original article Uncertainty-aware deep learning for trustworthy prediction of long-term outcome after endovascular thrombectomy (2024) Martín Vicario C, Rodriguez Salas D, Maier A, Hock S, Kuramatsu J, Kallmünzer B, Thamm F, et al. Journal article