15 citations · 30 across the 5 of their papers we have counts for
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cs.HC2019
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…
cs.CV2019★ 15 cited
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…