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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.
Luboschik M, Rybacki S, Haack F, Schulz H-J.  2014.  Supporting the Integrated Visual Analysis of Input Parameters and Simulation Trajectories.
Luboschik M, Rybacki S, Haack F, Schulz H-J.  2013.  Supporting the Integrated Visual Analysis of Input Parameters and Simulation Trajectories. Computers & Graphics.
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.
Lehmann DJ, Albuquerque G, Eisemann M, Magnor M, Theisel H.  2012.  Selecting Coherent and Relevant Plots in Large Scatterplot Matrices. Computer Graphics Forum.
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
von Landesberger T, Bremm S, Bernard J, Schreck T.  2010.  Smart Query Definition for Content-Based Search in Large Sets of Graphs. International Symposium on Visual Analytics Science and Technology (EuroVAST).
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
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Kumar C, Gruenefeld U, Heuten W, Boll S.  2014.  Swarming in the Urban Web Space to Discover the Optimal Region. IEEE/WIC/ACM International Conference on Web Intelligence.
Kumar C.  2015.  Search and Visualization Methodologies for Multi-Criteria Geographic Retrieval. Department of Computing Science, Media Informatics and Multimedia Systems Group. PhD
Kothari A, Lioma C, Schütze H.  2011.  Sense Discrimination for Physics Retrieval. ACM SIGIR.
Kisilevich S.  2010.  Spatio-temporal clustering (Book chapter).
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Hundt S.  2012.  Studie ueber die Perzeptivitaet von Quality Measures fuer Daten-Visualisierungen hochdimensionaler Daten. Otto-von-Guericke-Universitaet zu Magdeburg. Diploma
Höferlin B.  2013.  Scalable Visual Analytics in Video Surveillance .
Höferlin B, Heidemann G.  2010.  Selection of an Optimal Set of Discriminative and Robust Local Features with Application to Traffic Sign Recognition. WSCG 2010, 18th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision.
Höferlin B, Höferlin M, Weiskopf D, Heidemann G.  2013.  Scalable Video Visual Analytics. Information Visualization Journal.
Hermann M, Schunke AC, Klein R.  2011.  Semantically Steered Visual Analysis of Highly Detailed Morphometric Shape Spaces. In proceedings of BioVis 2011: 1st IEEE Symposium on biological data visualization, Providence. :151-158.
Hadlak S, Schumann H, Cap CH, Wollenberg T.  2013.  Supporting the Visual Analysis of Dynamic Networks by Clustering associated Temporal Attributes. IEEE Transactions on Visualization and Computer Graphics. 19(12):2267--2276.
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)
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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).
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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.
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.