2 papers
cs.CV2025
Do Edges Matter? Investigating Edge-Enhanced Pre-Training for Medical Image Segmentation
Paul Zaha, Lars Böcking, Simeon Allmendinger +2
Medical image segmentation is crucial for disease diagnosis and treatment planning, yet developing robust segmentation models often requires substantial computational resources and…
cs.LG2024
Utilizing Data Fingerprints for Privacy-Preserving Algorithm Selection in Time Series Classification: Performance and Uncertainty Estimation on Unseen Datasets
Lars Böcking, Leopold Müller, Niklas Kühl
The selection of algorithms is a crucial step in designing AI services for real-world time series classification use cases. Traditional methods such as neural architecture search,…