Publications

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Oster T, Lehmann DJ, Fru G, Theisel H, Thévenin D.  2014.  Sparse Representation and Visualization for Direct Numerical Simulation of Premixed Combustion. Computer Graphics Forum. 33
Andrienko N, Andrienko G.  2010.  Spatial Generalization and Aggregation of Massive Movement Data. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Andrienko N, Andrienko G.  2011.  Spatial Generalization and Aggregation of Massive Movement Data. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Kisilevich S.  2010.  Spatio-temporal clustering (Book chapter).
Bak P, Mansmann F, Jantzko H, Keim DA.  2009.  Spatiotemporal Analysis of Sensor Logs Using Growth-Ring Maps. IEEE Transactions on Computer Graphics and Visualization. 15
Thom D, Bosch H, Koch S, Wörner M, Ertl T.  2012.  Spatiotemporal Anomaly Detection through Visual Analysis of Geolocated Twitter Messages. IEEE Pacific Visualization Symposium (PacificVis).
Andrienko G, Andrienko N, Keim DA, MacEachren A, Wrobel S.  2011.  Special issue on "Challenging Problems in Geovisual Analytics". v.22 (4):251-304.
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).
Fensky S, Held F, Rak M, Tönnies KD.  2015.  Spinal Canal Centerline Extraction in {MRI}. Proceedings of the 19th Medical Image Understanding and Analysis Conference. :144-149.
Rak M, König T, Tönnies KD.  2015.  Spotting Differences Among Observations. Proceedings of the International Conference on Pattern Recognition Applications and Methods. :5-13.
Tominski C, Schumann H, Andrienko G, Andrienko N.  2012.  Stacking-Based Visualization of Trajectory Attribute Data. IEEE Transactions on Visualization and Computer Graphics. 18(12):2565--2574.
Rak M, Tönnies KD.  2017.  Star convex cuts with encoding swaps for fast whole-spine vertebra segmentation in MRI. Proceedings of the 22nd International Symposium on Vision, Modeling and Visualization (VMV). :145-152.
Borgo R, Chen M, Daubney B, Grundy E, Heidemann G, Höferlin B, Höferlin M, Jänicke H, Weiskopf D, Xie X.  2012.  State of the Art Report on Video-based Graphics and Video Visualizations. Computer Graphics Forum.
Blascheck T, Kurzhals K, Raschke M, Burch M, Weiskopf D, Ertl T.  2014.  State of-the-Art of Visualization for Eye Tracking Data. EuroVis STAR. :63-82.
Lex A, Streit M, Schulz H-J, Partl C, Schmalstieg D, Park PJ, Gehlenborg N.  2012.  StratomeX: Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization. Computer Graphics Forum. 31(3):1175--1184.
Schützel J, Meyer H, Uhrmacher A.  2014.  A Stream-Based Architecture for the Management and On-Line Analysis of Unbounded Amounts of Simulation Data. SIGSIM-PADS '14.
Schützel J, Himmelspach J, Meyer H, Heuer A, Uhrmacher A.  2012.  Streaming data management for the online processing of simulation data. :Poster@WinterSimulationConference(WSC'12).
Marsico A, Henschel A, Winter C, Tuukkanen A, Vassilev B, Scheubert K, Schroeder M.  2010.  Structural fragment clustering reveals novel structural and functional motifs in alpha-helical transmembrane proteins.. BMC Bioinformatics.
Tuukkanen A, Henschel A, Huang B, Stewart AF, Schroeder M.  2010.  Structural Modeling of histone methyltransferase complex Set1C from Saccharomyces cerevisiae using constraint-based docking. Proteomics.
Hundt S.  2012.  Studie ueber die Perzeptivitaet von Quality Measures fuer Daten-Visualisierungen hochdimensionaler Daten. Otto-von-Guericke-Universitaet zu Magdeburg. Diploma
Lehmann DJ, Hundt S, Theisel H.  2015.  A Study on Quality Metrics vs. Human Perception: Can Visual Measures Help us to Filter Visualizations of Interest? it - Information Technology. 57
Haack F, Burrage K, Redmer R, Uhrmacher A.  2013.  Studying the Role of Lipid Rafts on Protein Receptor Bindings with Cellular Automata. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 10(3)
Haack F, Burrage K, Redmer R, Uhrmacher A.  2012.  Studying the role of lipid rafts on protein-receptor bindings with Cellular Automata. To Appear in IEEE/ACM Trans. Comput. Biol. Bioinformatics.
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.
Tatu A, Maaß F, Färber I, Bertini E, Schreck T, Seidl T, Keim DA.  2012.  Subspace Search and Visualization to Make Sense of Alternative Clusterings in High-Dimensional Data. Procedings of IEEE Symposium on Visual Analytics Science and Technology (VAST). :63-72.