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Publikationen:

• Thorben Werner, Lars Schmidt-Thieme (2024):
  Bayesian Active Learning By Distribution Disagreement, in Arxiv.
• Thorben Werner, Johannes Burchert, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
  A Cross-Domain Benchmark for Active Learning, in Neural Information Processing Systems.
• Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme (2024):
  Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training, in arXiv:2404.06966. .
• Lars Leyendecker, Shobhit Agarwal, Robert H. Schmitt, Thorben Werner (2022):
  A Study on Data Augmentation Techniques for Visual Defect Detection in Manufacturing, Bildverarbeitung in der Automation und Kommunikation in der Automation (BVAU 22) .
• Dr. Nghia Duong-Trung, Stefan Born, JongWoo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto Martinez, Mariano Nicolas Cruz-Bournazou, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer,, Thorben Werner (2022):
  When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development, Biochemical Engineering Journal .
• Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme (2022):
  Open Set Recognition for Time Series Classification, in Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference.