Publications

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Günnemann S, Färber I, Raubach S, Seidl T.  2013.  Spectral Subspace Clustering for Graphs with Feature Vectors. Proceedings of the IEEE International Conference on Data Mining (ICDM 2013).
Günnemann S, Färber I, Seidl T.  2012.  Multi-view clustering using mixture models in subspace projections. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :132-140.
Günnemann S, Färber I, Mausbach T, Seidl T.  2014.  SMVC: Semi-Supervised Multi-View Clustering in Subspace Projections. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14). 20:253-262.
Günnemann S, Färber I, Virochsiri K, Seidl T.  2012.  Subspace correlation clustering: finding locally correlated dimensions in subspace projections of the data. Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12). :352-360.
Gumhold S, Spehr M.  2011.  Directed Image Search with Local Parallel Feature Axes. The Second Workshop on Visual Content Identification and Search.
Gubichev A, Bedathur S, Seufert S, Weikum G.  2010.  Fast and Accurate Estimation of Shortest Paths in Large Graphs. Proceedings of the 19th ACM International Conference on Information and Knowledge Management (CIKM'2010), Toronto, Canada..
Gschwandtner T, Schumann H, Bernard J, May T, Bögl M, Miksch S, Kohlhammer J, Röhlig M, Alsallakh B.  2015.  Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model. Eurographics Conference on Visualization (EuroVis 2015).
Gruenefeld U.  2014.  A Computational Intelligence Framework for Multidimensional Regional Search. Department of Computing Science, Media Informatics and Multimedia Systems Group . MsC
Griss J, Jones AR, Sachsenberg T, Walzer M, Gatto L, Hartler J, Thallinger GG, Salek RM, Steinbeck C, Neuhauser N et al..  2014.  The mzTab Data Exchange Format: communicating MS-based proteomics and metabolomics experimental results to a wider audience. Mol. Cell. Prot.. :2765-2775.
Glaser J.  2012.  Einsatz von Visualisierungsmethoden zur Überprüfung von strukturveränderlichen Simulationen.
Glaßer S, Oeltze S, Preim U, Bjornerud A, Hauser H, Preim B.  2013.  Visual analysis of longitudinal brain tumor perfusion. Proc. of SPIE Medical Imaging.
Glaßer S.  2014.  Visual Analysis, Clustering, and Classification of Contrast-Enhanced Tumor Perfusion MRI Data. Otto-von-Guericke University Magdeburg. PhD
Glaßer S, Preim U, Oeltze S, Preim B.  2011.  The File-Card-Browser View for Breast DCE-MRI Data. Bildverarbeitung für die Medizin (accepted for publication).
Glaßer S, Schäfer S, Oeltze S, Preim U, Tönnies KD, Preim B.  2009.  A Visual Analytics Approach to Diagnosis of Breast DCE-MRI Data. {Proc. on Vision, Modeling, and Visualization (VMV)}. :351–362. Abstract
Glaser J.  2012.  Effiziente Visualisierung grosser Microarraydaten.
Glaßer S, Niemann U, Preim U, Spiliopoulou M, Preim B.  2013.  Classification of Benign and Malignant DCE-MRI Breast Tumors by Analyzing the Most Suspect Region. Proc. of Bildverarbeitung für die Medizin.
Glaßer S, Preim U, Tönnies KD, Preim B.  2010.  A visual analytics approach to diagnosis of breast DCE-MRI data. Computer and Graphics. :602-611.
Gladisch S, Schumann H, Tominski C.  2013.  Navigation Recommendations for Exploring Hierarchical Graphs. Advances in Visual Computing.
Gladisch S.  2011.  Kantenbündelung in interaktiven und zoombaren Visualisierungsumgebungen.
Geurts A, Sakas GE, Kuijper A, Becker M, von Landesberger T.  2015.  Visual Comparison of 3D Medical Image Segmentation Algorithms Based on Statistical Shape Models. HCI 2015.
Geurts A.  2014.   Visueller Vergleich von Segmentierungsalgorithmen von medizinischen 3D-Bildern. TU Darmstadt. B. Sc.
Getto R, Kuijper A, von Landesberger T.  2015.  Extended Surface Distance for Local Evaluation of 3D Medical Image Segmentations. Computer Graphics International.
Getto R.  2013.  Ein neues Abstandsmaß für den Vergleich von formähnlichen Meshes mit lokalen Abweichungen. TU Darmstadt. M. Sc.
Gerwert P.  2013.  Constraint-based Susbpace Clustering utilizing Combined Graph clustering Methods. RWTH Aachen. Master of Science
Gerasch A, Kaufmann M, Kohlbacher O.  2014.  Rebuilding KEGG Maps - An integrative approach for visual analytics of metabolic networks. PacificVis 2014. :97-104.