15 citations · 36 across the 8 of their papers we have counts for
9 papers
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
Mario Amrehn, Stefan Steidl, Reinier Kortekaas +4
For complex segmentation tasks, the achievable accuracy of fully automated systems is inherently limited. Specifically, when a precise segmentation result is desired for a small am…
On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction
Anton Batliner, Stefan Steidl, Florian Eyben +1
In this article, we study laughter found in child-robot interaction where it had not been prompted intentionally. Different types of laughter and speech-laugh are annotated and pro…
The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data
Mario Amrehn, Firas Mualla, Elli Angelopoulou +2
Data analysis and machine learning have become an integrative part of the modern scientific methodology, providing automated techniques to predict further information based on obse…
Precision Learning: Towards Use of Known Operators in Neural Networks
Andreas Maier, Frank Schebesch, Christopher Syben +4
In this paper, we consider the use of prior knowledge within neural networks. In particular, we investigate the effect of a known transform within the mapping from input data space…
Robust Seed Mask Generation for Interactive Image Segmentation
Mario Amrehn, Stefan Steidl, Markus Kowarschik +1
In interactive medical image segmentation, anatomical structures are extracted from reconstructed volumetric images. The first iterations of user interaction traditionally consist…
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model
Mario Amrehn, Sven Gaube, Mathias Unberath +6
For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data…