Thorben Werner

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 6

Top Topics

Temporal Dependencies

Discriminative Classifiers

Image Classification

Active Learning

Top Venues

Publications

Johannes Burchert, Thorben Werner, Vijaya Krishna Yalavarthi, Diego Coello de Portugal, Maximilian Stubbemann, Lars Schmidt-Thieme
Are EEG Sequences Time Series? EEG Classification with Time Series Models and Joint Subject Training. CoRR (2024)
Thorben Werner, Johannes Burchert, Lars Schmidt-Thieme
Towards Comparable Active Learning. CoRR (2023)
Onno Niemann, Christopher Vox, Thorben Werner
Towards Comparable Knowledge Distillation in Semantic Image Segmentation. CoRR (2023)
Tolga Akar, Thorben Werner, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Open Set Recognition for Time Series Classification. PAKDD (2) (2022)
Nghia Duong-Trung, Stefan Born, Jong Woo Kim, Marie-Therese Schermeyer, Katharina Paulick, Maxim Borisyak, Ernesto Martinez, Mariano Nicolás Cruz Bournazou, Thorben Werner, Randolf Scholz, Lars Schmidt-Thieme, Peter Neubauer
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess Development. CoRR (2022)
Thorben Werner
Reinforcement Learning Approach to Active Learning for Image Classification. CoRR (2021)