Publications

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Monreale A, Andrienko G, Andrienko N, Giannotti F, Pedreschi D, Rinzivillo S, Wrobel S.  2010.  Movement Data Anonymity through Generalization. Transactions on Data Privacy. :pp.91-121.
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.
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Royer L, Stewart AF, Schroeder M.  2009.  Network compression as a quality measure for protein interaction networks.
Stöckel D, Müller O, Kehl T, Gerasch A, Backes C, Rurainski A, Keller A, Kaufmann M, Lenhof H-P.  2013.  NetworkTrail--a web service for identifying and visualizing deregulated subnetworks. Bioinformatics (Oxford, England). 29(13):1702-3.
Briesemeister S, Rahnenführer J, Kohlbacher O.  2012.  No longer confidential: Estimating the Confidence of Individual Regression Predictions. PLoS One.
Kisilevich S, Keim DA, Rokach L.  2010.  A novel approach to mining travel sequences using collections of geo-tagged photos. . Proceedings of the 13th AGILE International Conference on Geographic Information Science.
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Rak M, Tönnies KD.  2016.  On computerized methods for spine analysis in MRI: a systematic review. International Journal of Computer Assisted Radiology and Surgery (IJCARS). :1–21.
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Monreale A, Wang HW, Pratesi F, Rinzivillo S, Pedreschi D, Andrienko G, Andrienko N.  2013.  Privacy-preserving Distributed Movement Data Aggregation. AGILE.
Raubach S.  2012.  Projected Spectral Clustering on Graphs with Feature Vectors. RWTH Aachen. Master of Science
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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.
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)
Albuquerque G, Lehmann DJ, Rodermund T, Eisemann M, Nocke T, Theisel H, Magnor M.  2012.  Semi-Automatic Classification of Weather Maps.
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.
Kisilevich S.  2010.  Spatio-temporal clustering (Book chapter).
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.
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.
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.
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.
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.
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.
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).