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Helms T, Ewald R, Rybacki S, Uhrmacher A.  2014.  A Generic Adaptive Simulation Algorithm for Component-based Simulation Systems. ACM Transactions on Modeling and Computer Simulation. 1(2)
Heinsohn N, Gerasch A, Kaufmann M.  2014.  Boundary Labeling Methods for Dynamic Focus Regions. Pacific Visualization Symposium (PacificVis), 2014 IEEE. :243-247.
Heimerl F, Han Q, Koch S, Ertl T.  2016.  CiteRivers: Visual Analytics of Citation Patterns. IEEE Transactions on Visualization and Computer Graphics. 22:190-199.
Heimerl F, Koch S, Bosch H, Ertl T.  2012.  Visual Classifier Training for Text Document Retrieval. IEEE Transactions on Visualization and Computer Graphics. 18:2839-2848.
Heimerl F, Jochim C, Koch S, Ertl T.  2012.  FeatureForge: A Novel Tool for Visually Supported Feature Engineering and Corpus Revision. Proceedings of COLING 2012. :461-470.
Heimerl F, Lohmann S, Lange S, Ertl T.  2014.  Word Cloud Explorer: Text Analytics based on Word Clouds (to appear). System Sciences (HICSS), 2014 47th Hawaii International Conference on. :31-39.
Hauser D.  2013.  Geovisual analytics for lay users: A user-centred approach. Department of Computing Science Media Informatics and Multimedia Systems Group. MsC
Han Q, Guo J, Schütze H.  2013.  Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text. Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013). :520-524.
Hadlak S, Schulz H-J, Schumann H.  2011.  In Situ Exploration of Large Dynamic Networks. IEEE Transactions on Visualization and Computer Graphics. 17(12):2334--2343.
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.  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.
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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, 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, 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.
Glaßer S.  2014.  Visual Analysis, Clustering, and Classification of Contrast-Enhanced Tumor Perfusion MRI Data. Otto-von-Guericke University Magdeburg. PhD
Glaser J.  2012.  Effiziente Visualisierung grosser Microarraydaten.
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
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).