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Miscellaneous
Miscellaneous Section
Alsallakh, B., "Visual Analytics of Large Multivariate Matrix Data", Poster: IEEE VisWeek Doctoral Colloquium, Seattle, 10/2012. application/pdf iconpaper video/mp4 iconvideo
Rind, A., B. Neubauer, W. Aigner, and S. Miksch, "Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time", EuroVA 2012 Poster Proceedings, Vienna, Eurographics, pp. 3, 2012. application/pdf iconpaper
PhD Thesis
Federico, P., "Visual Analytics of Dynamic Networks", Faculty of Informatics, vol. PhD in Computer Science, Vienna, Austria, TU Wien, pp. 192, 05/2017. application/pdf iconpaper
Alsallakh, B., "Visual Analytics of Large Homogeneous Data - Categorical, Set-typed, and Classification Data", Institute of Software Technology & Interactive Systems, vol. PhD in Computer Science, Vienna, Vienna University of Technology, pp. 165, 09/2014. application/pdf iconpaper
Gschwandtner, T., "Interactive Visualization of Effects of Medical Treatment on a Patient’s Condition", Institute of Software Technology & Interactive Systems, Vienna, Vienna University of Technology, pp. 140, 12/2012. application/pdf iconpaper
Lammarsch, T., "Facets of Time—Making the Most of Time's Structure in Interactive Visualization", Institute of Software Technology and Interactive Systems, vol. Dr. tech., Vienna, Austria, Vienna University of Technology, Vienna, 05/2010. application/pdf iconpaper
Aigner, W., Visualization of Time and Time-Oriented Information: Challenges and Conceptual Design, : Vienna University of Technology, Institute of Software Technology and Interactive Systems, 2006.
Report
Kaiser, K., and A. Seyfang, Modelling Clinical Guidelines and Protocols in MHB. A Tutorial, , no. Asgaard-TR-2010-1: Vienna University of Technology, Institute of Software Technology and Interactive Systems, March, 2010.
Lammarsch, T., "Toolkits für die Visualisierung", IKE Technical Reports, no. IKE-TR-2007-03, Krems, Austria, Department of Information and Knowledge Engineering, Danube University Krems, pp. 9, 09/2007. application/pdf iconpaper
Kaiser, K., C. Akkaya, and S. Miksch, Gaining Process Information from Clinical Practice Guidelines Using Information Extraction, , no. Asgaard-TR-2005-4, Vienna, Vienna University of Technology, Institute of Software Technology and Interactive Systems, 2005.
Unpublished
Bors, C., M. Bögl, T. Gschwandtner, and S. Miksch, "Visual Support for Rastering of Unequally Spaced Time Series", Data Science, Statistics & Visualisation Conference (DSSV), Lissabon, University of Lisbon, Portugal, 2017.