Publications

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A
Albuquerque G, Löwe T, Magnor M.  2011.  Synthetic Generation of High-dimensional Datasets. {IEEE} Transactions on Visualization and Computer Graphics {(TVCG,} Proc. Visualization / InfoVis). 17
Albuquerque G, Lehmann DJ, Rodermund T, Eisemann M, Nocke T, Theisel H, Magnor M.  2012.  Semi-Automatic Classification of Weather Maps.
Andrienko G, Andrienko N, Demar U, Dransch D, Dykes J, Fabrikant S, Jern M, Kraak M-J, Schumann H, Tominski C.  2010.  Space, Time, and Visual Analytics. International Journal Geographical Information Science. :pp.1577-1600.
Andrienko G, Andrienko N, Bremm S, Schreck T, von Landesberger T, Keim DA, Bak P.  2010.  Space-in-Time and Time-in-Space Self-Organizing Maps for Exploring Spatiotemporal Patterns. EuroVis 2010. :913-922.
Andrienko N, Andrienko G.  2010.  Spatial Generalization and Aggregation of Massive Movement Data. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Andrienko G, Andrienko N, Keim DA, MacEachren A, Wrobel S.  2011.  Special issue on "Challenging Problems in Geovisual Analytics". v.22 (4):251-304.
Andrienko G, Andrienko N.  2010.  Sammon's Projection for Clustering Complex Geographical Objects. GIScience 2010.
Andrienko N, Andrienko G, Barrett L, Dostie M, Henzi P.  2013.  Space Transformation for Understanding Group Movement. IEEE Transactions on Visualization and Computer Graphics (Proceedings IEEE VAST 2013). vol. 19(12)
Andrienko N, Andrienko G.  2011.  Spatial Generalization and Aggregation of Massive Movement Data. IEEE Transactions on Visualization and Computer Graphics (TVCG).
Andrienko G, Andrienko N, Demar U, Dransch D, Dykes J, Fabrikant S, Jern M.  2010.  Space and Time. Mastering the Information Age -- Solving Problems with Visual Analytics.
Andrienko G, Andrienko N, Hurter C, Rinzivillo S, Wrobel S.  2013.  Scalable Analysis of Movement Data for Extracting and Exploring Significant Places. IEEE Transactions on Visualization and Computer Graphics. v. 19(7):pp.1078-1094.
Andrienko N, Andrienko G, Fuchs G, Jankowski P.  2015.  Scalable and Privacy-respectful Interactive Discovery of Place Semantics from Human Mobility Traces. Information Visualization.
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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
Bekos M, Kaufmann M, Kobourov S, Symvonis A.  2013.  Smooth Orthogonal Layouts. Journal of Graph Algorithms and Applications. 17:575-595.
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.
Borgo R, Chen M, Grundy E, Daubney B, Heidemann G, Höferlin B, Höferlin M, Jänicke H, Weiskopf D, Xie X.  2011.  A Survey on Video-based Graphics and Video Visualization. EG 2011 - State of the Art Reports. :1--23.
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.
Bosch H, Thom D, Wörner M, Koch S, Püttmann E, Jäckle D, Ertl T.  2011.  ScatterBlogs: Geo-Spatial Document Analysis. IEEE Conference on Visual Analytics Science and Technology.
Bosch H, Thom D, Heimerl F, Püttmann E, Koch S, Krüger R, Wörner M, Ertl T.  2013.  ScatterBlogs2: Real-Time Monitoring of Microblog Messages Through User-Guided Filtering (to appear). Visualization and Computer Graphics.
E
Engelhardt J.  2012.  Skizzenbasierte Trajektoriensuche in Videos.
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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.
Fuchs G, Stange H, Samiei A, Andrienko G, Andrienko N.  2015.  A semi-supervised method for topic extraction from micro postings. it-Information Technology. 57(1):49-56.
G
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.
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).