The Research Group is Moving!

During winter term 2021/22, we move to University of Bamberg. From Oct. 15, 2021, Fabian Beck holds a full professor position on Information Visualization.

New webpage of the research group:


M.Sc. Cedric Krause

Academic Staff

M.Sc. Cedric Krause

S-GW 311


  • Krause, Cedric; Agarwal, Shivam; Ghoniem, Mohammad; Beck, Fabian: Visual Comparison of Multi-label Classification Results. In: Vision, Modeling, and Visualization. 2021. doi:10.2312/vmv.20211367PDFCitationDetails
    Visual Comparison of Multi-label Classification Results

    In multi-label classification, we do not only want to analyze individual data items but also the relationships between the assigned labels. Employing different sources and algorithms, the label assignments differ. We need to understand these differences to identify shared and conflicting assignments. We propose a visualization technique that addresses these challenges. In graphs, we present the labels for any classification result as nodes and the pairwise overlaps of labels as links between them. These graphs are juxtaposed for the different results and can be diffed graphically. Clustering techniques are used to further analyze similarities between labels or classification results, respectively. We demonstrate our prototype in two application examples from the machine learning domain.