Publications

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Helms T, Himmelspach J, Maus C, Röwer O, Schützel J, Uhrmacher A.  2012.  Toward a language for the flexible observation of simulations. Proc. of the Winter Simulation Conference (WSC'12).
König T, Rak M, Steffen J, Neumann G, von Rohden L, Tönnies KD.  2013.  Texture-Based Detection of Myositis in Ultrasonographies. Bildverarbeitung für die Medizin. :81-86.
Rybacki S, Leye S, Himmelspach J, Uhrmacher A.  2012.  Template and Frame based Experiment Workflows in Modeling and Simulation Software with WORMS. Seventh IEEE 2012 World Congress on Services - Sixth International Workshop on Scientific and Engineering Workflows: Advances in Data and Event-Driven Workflows.
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von Landesberger T, Görner M, Rehner R, Schreck T.  2009.  A System for Interactive Visual Analysis of Large Graphs Using Motifs in Graph Editing and Aggregation. Vision Modeling Visualization Workshop (VMV 2009) (accepted). Abstract
Radloff A, Fuchs G, Schumann H.  2012.  Supporting Visual Analysis in Smart Meeting Rooms. Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA'12).
Luboschik M, Rybacki S, Haack F, Schulz H-J.  2013.  Supporting the Integrated Visual Analysis of Input Parameters and Simulation Trajectories. Computers & Graphics.
Luboschik M, Rybacki S, Haack F, Schulz H-J.  2014.  Supporting the Integrated Visual Analysis of Input Parameters and Simulation Trajectories.
Radloff A, Luboschik M, Sips M, Schumann H.  2011.  Supporting Display Scalability by Redundant Mapping. Proceedings of Advances in Visual Computing - International Symposium on Visual Computing (ISVC'11).
Luboschik M, Röhlig M, Kundt G, Stachs O, Pechsel S, Zhivov A, Guthoff RF, Winter K, Schumann H.  2014.  Supporting an Early Detection of Diabetic Neuropathy by Visual Analytics. EuroVis Workshop on Visual Analytics.
Röhlig M, Luboschik M, Krüger F, Kirste T, Schumann H, Bögl M, Alsallakh B, Miksch S.  2015.  Supporting activity recognition by visual analytics. Visual Analytics Science and Technology (VAST). :41-48.
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.
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)
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.
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.
Rak M, König T, Tönnies KD.  2015.  Spotting Differences Among Observations. Proceedings of the International Conference on Pattern Recognition Applications and Methods. :5-13.
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.
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).
Kisilevich S.  2010.  Spatio-temporal clustering (Book chapter).
Richter C, Luboschik M, Röhlig M, Schumann H.  2015.  Sequencing of categorical time series. Visual Analytics Science and Technology (VAST), 2015 IEEE Conference on. :213-214.
Albuquerque G, Lehmann DJ, Rodermund T, Eisemann M, Nocke T, Theisel H, Magnor M.  2012.  Semi-Automatic Classification of Weather Maps.
Parent C, Spaccapietra S, Renso C, Andrienko G, Andrienko N, Bogorny V, Damiani ML, Gkoulalas-divanis A, Macedo J, Pelekis N et al..  2012.  Semantic Trajectories Modeling and Analysis. ACM Computing Surveys.
Parent C, Spaccapietra S, Renso C, Andrienko G, Andrienko N, Bogorny V, Damiani ML, Gkoulalas-divanis A, Macedo J, Pelekis N et al..  2013.  Semantic Trajectories Modeling and Analysis. ACM Computing Surveys. v.45(4)
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.
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Raubach S.  2012.  Projected Spectral Clustering on Graphs with Feature Vectors. RWTH Aachen. Master of Science
Monreale A, Wang HW, Pratesi F, Rinzivillo S, Pedreschi D, Andrienko G, Andrienko N.  2013.  Privacy-preserving Distributed Movement Data Aggregation. AGILE.