Leite, R. A., Gschwandtner, T., Miksch, S., Kriglstein, S., Pohl, M., Gstrein, E., & Kuntner, J. (2018). EVA: Visual Analytics to Identify Fraudulent Events. IEEE Transactions on Visualization and Computer Graphics, 24(1), 330–339. https://doi.org/10.1109/tvcg.2017.2744758 ( reposiTUm)

Andrienko, N., Lammarsch, T., Andrienko, G., Fuchs, G., Keim, D., Miksch, S., & Rind, A. (2018). Viewing Visual Analytics as Model Building. Computer Graphics Forum, 37(6), 275–299. https://doi.org/10.1111/cgf.13324 ( reposiTUm)

Bors, C., Kriglstein, S., Gschwandtner, T., Miksch, S., & Pohl, M. (2018). Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics. ACM Journal of Data and Information Quality, 10(1), 1–26. https://doi.org/10.1145/3190578 ( reposiTUm)

Leite, R. A., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2018). Visual analytics for event detection: Focusing on fraud. Visual Informatics, 2(4), 198–212. https://doi.org/10.1016/j.visinf.2018.11.001 ( reposiTUm)

Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Computer Graphics Forum, 36(3), 227–238. http://hdl.handle.net/20.500.12708/146628 ( reposiTUm)

Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2016). The State-of-the-Art of Set Visualization. Computer Graphics Forum, 35(1), 234–260. http://hdl.handle.net/20.500.12708/150103 ( reposiTUm)

Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2015). Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation. Information Visualization, 15(4), 288–300. https://doi.org/10.1177/1473871615621602 ( reposiTUm)

Strobelt, H., Alsallakh, B., Botros, J., Peterson, B., Borowsky, M., Pfister, H., & Lex, A. (2015). Vials: Visualizing Alternative Splicing of Genes. IEEE Transactions on Visualization and Computer Graphics, 22(1), 399–408. https://doi.org/10.1109/tvcg.2015.2467911 ( reposiTUm)

Alsallakh, B., Hanbury, A., Hauser, H., Miksch, S., & Rauber, A. (2014). Visual Methods for Analyzing Probabilistic Classification Data. IEEE Transactions on Visualization and Computer Graphics, 20(12), 1703–1712. https://doi.org/10.1109/tvcg.2014.2346660 ( reposiTUm)

Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. COMPUTERS & GRAPHICS-UK, 38, 286–290. https://doi.org/10.1016/j.cag.2013.11.002 ( reposiTUm)

Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2237–2246. https://doi.org/10.1109/tvcg.2013.222 ( reposiTUm)

Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2496–2505. https://doi.org/10.1109/tvcg.2013.184 ( reposiTUm)

Rind, A., Wang, T. D., Aigner, W., Miksch, S., Wongsuphasawat, K., Plaisant, C., & Shneiderman, B. (2013). Interactive Information Visualization to Explore and Query Electronic Health Records. Foundations and Trends in Human-Computer Interaction, 5(3), 207–298. https://doi.org/10.1561/1100000039 ( reposiTUm)

Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2247–2256. https://doi.org/10.1109/tvcg.2013.206 ( reposiTUm)

Aigner, W., Hoffmann, S., & Rind, A. (2013). EvalBench: A Software Library for Visualization Evaluation. Computer Graphics Forum, 32(3), 41–50. http://hdl.handle.net/20.500.12708/154847 ( reposiTUm)

MacEachren, A. M., & Miksch, S. (2012). Guest Editors’ Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE Transactions on Visualization and Computer Graphics, 18(5), 660–661. https://doi.org/10.1109/tvcg.2012.85 ( reposiTUm)

Aigner, W., Rind, A., & Hoffmann, S. (2012). Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions. Computer Graphics Forum, 31(3), 995–1004. http://hdl.handle.net/20.500.12708/163525 ( reposiTUm)

Droste, P., Wiechert, W., & Nöh, K. (2012). Semi-automatic drawing of metabolic networks. Information Visualization, 11(3), 171–187. https://doi.org/10.1177/1473871611413565 ( reposiTUm)

Alsallakh, B., Aigner, W., Miksch, S., & Gröller, E. (2012). Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data. IEEE Transactions on Visualization and Computer Graphics, 18(12), 2849–2858. https://doi.org/10.1109/tvcg.2012.254 ( reposiTUm)

Gschwandtner, T., Kaiser, K., & Miksch, S. (2011). Information requisition is the core of guideline-based medical care: which information is needed for whom? Journal of Evaluation in Clinical Practice, 17(4), 713–721. https://doi.org/10.1111/j.1365-2753.2010.01527.x ( reposiTUm)

Aigner, W., Kainz, C., Ma, R., & Miksch, S. (2011). Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. Computer Graphics Forum, 30(1), 215–228. http://hdl.handle.net/20.500.12708/162118 ( reposiTUm)

Bors, C., Gschwandtner, T., & Miksch, S. (2018). Visually Exploring Data Provenance and Quality of Open Data. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (pp. 9–11). The Eurographics Association. https://doi.org/10.2312/eurp.20181117 ( reposiTUm)

Bors, C., Bögl, M., Gschwandtner, T., & Miksch, S. (2017). Visual support for rastering of unequally spaced time series. In R. P. Biuk-Aghai, J. Li, & S. Takahashi (Eds.), Proceedings of the 10th International Symposium on Visual Information Communication and Interaction. ACM International Conference Proceeding Series. https://doi.org/10.1145/3105971.3105984 ( reposiTUm)

Bernard, J., Dobermann, E., Bögl, M., Röhlig, M., Vögele, A., & Kohlhammer, J. (2016). Visual-Interactive Segmentation of Multivariate Time Series. In N. Andrienko & M. Sedlmair (Eds.), EuroVA 2016 EuroVis Workshop on Visual Analytics (pp. 31–35). The Eurographics Association. https://doi.org/10.2312/eurova.20161121 ( reposiTUm)

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. In R. Maciejewski & F. Marton (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 (p. 3). Eurographics Association. http://hdl.handle.net/20.500.12708/56049 ( reposiTUm)

Bögl, M. (2015). Visual Exploration and Analysis of Uncertain Time-oriented Data. In E. Marai, C. Collins, & M. Pohl (Eds.), Proceedings of the IEEE VIS 2015 Doctoral Colloquium - closed, invitation only special session (p. 4). http://hdl.handle.net/20.500.12708/56037 ( reposiTUm)

Röhlig, M., Luboschik, M., Bögl, M., Krüger, F., Alsallakh, B., Miksch, S., Kirste, T., & Schumann, H. (2015). Supporting Activity Recognition by Visual Analytics. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology (p. 8). IEEE. http://hdl.handle.net/20.500.12708/56131 ( reposiTUm)

Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56130 ( reposiTUm)

Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2015). Visual Analytics for Fraud Detection and Monitoring. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), Poster Proceedings of the IEEE Visualization Conference 2015 (p. 2). http://hdl.handle.net/20.500.12708/56390 ( reposiTUm)

Gschwandtner, T., Aigner, W., Miksch, S., Gärtner, J., Kriglstein, S., Pohl, M., & Suchy, N. (2014). TimeCleanser. In S. Lindstaedt, M. Granitzer, & H. Sack (Eds.), Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW ’14. ACM Press. https://doi.org/10.1145/2637748.2638423 ( reposiTUm)

Federico, P., Hoffmann, S., Rind, A., Aigner, W., & Miksch, S. (2014). Qualizon graphs. In Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces - AVI ’14. 12th International Working Conference on Advanced Visual Interfaces (AVI2014), Como, Italy. ACM. https://doi.org/10.1145/2598153.2598172 ( reposiTUm)

Alsallakh, B., Bögl, M., Gschwandtner, T., Miksch, S., Esmael, B., Arnaout, A., Thonhauser, G., & Zöllner, P. (2014). A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. In M. Pohl & J. C. Roberts (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 31–35). Eurographics. https://doi.org/10.2312/eurova.20141142 ( reposiTUm)

Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2014). Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges. In R. Borgo, R. Maciejewski, & I. Viola (Eds.), Eurographics Conference on Visualization - State of The Art Reports (pp. 1–21). Eurographics. https://doi.org/10.2312/eurovisstar.20141170 ( reposiTUm)

Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2014). Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics (p. 4). http://hdl.handle.net/20.500.12708/55730 ( reposiTUm)

Bodesinsky, P., Alsallakh, B., Gschwandtner, T., & Miksch, S. (2014). Visual Process Mining: Event Data Exploration and Analysis. In G. Andrienko, E. Bertini, H. Carr, N. Elmqvist, B. Lee, & H. Leitte (Eds.), VAST Poster Proceedings of the IEEE Visualization Conference (VIS 2014) (p. 2). http://hdl.handle.net/20.500.12708/55817 ( reposiTUm)

Alsallakh, B., Miksch, S., & Rauber, A. (2014). Towards a Visualization of Multi-faceted Search Results. In Workshop on Knowledge Maps and Information Retrieval (KMIR). Workshop on Knowledge Maps and Information Retrieval (KMIR), at the the ACM/IEEE Joint Conference on Digital Libraries, London, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/55156 ( reposiTUm)

Röhlig, M., Luboschik, M., Schumann, H., Bögl, M., Alsallakh, B., & Miksch, S. (2014). Analyzing Parameter Influence on Time-Series Segmentation and Labeling. In G. Andrienko, E. Bertini, H. Carr, N. Elmqvist, B. Lee, & H. Leitte (Eds.), Poster Proceedings of the IEEE Visualization Conference 2014. http://hdl.handle.net/20.500.12708/55193 ( reposiTUm)

Kriglstein, S., Pohl, M., Suchy, N., Gärtner, J., Gschwandtner, T., & Miksch, S. (2014). Experiences and Challenges with Evaluation Methods in Practice: A Case Study. In Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV 2014) (pp. 118–125). ACM digital library. http://hdl.handle.net/20.500.12708/55292 ( reposiTUm)

Bors, C., Gschwandtner, T., Miksch, S., & Gärtner, J. (2014). QualityTrails: Data Quality Provenance as a Basis for Sensemaking. In K. Xu, S. Attfield, & T. J. Jankun-Kelly (Eds.), Proceedings of the IEEE VIS Workshop on Provenance for Sensemaking (pp. 1–2). http://hdl.handle.net/20.500.12708/55302 ( reposiTUm)

Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User tasks for evaluation. In Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization. Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (BELIV 2014), Paris, France. ACM digital library. https://doi.org/10.1145/2669557.2669568 ( reposiTUm)

Amor-Amoros, A., Federico, P., & Miksch, S. (2014). TimeGraph: a data management framework for Visual Analytics of large multivariate time-oriented networks. In Poster Proceedings of the IEEE Visualization Conference 2014. IEEE Visualization, Minneapolis, United States of America (the). http://hdl.handle.net/20.500.12708/55158 ( reposiTUm)

Quaglini, S., Shahar, Y., Peleg, M., Miksch, S., Napolitano, C., Rigla, M., Pallàs, A., Parimbelli, E., & Sacchi, L. (2013). Supporting Shared Decision Making within the MobiGuide Project. In Proceedings of the AMIA Annual Symposium (pp. 1175–1184). American Medical Informatics Association (AMIA). http://hdl.handle.net/20.500.12708/54900 ( reposiTUm)

Seyfang, A., Kaiser, K., Gschwandtner, T., & Miksch, S. (2013). Visualizing Complex Process Hierarchies During the Modeling Process. In M. La Rosa & P. Soffer (Eds.), BPM 2012 International Workshops (pp. 768–779). Springer. http://hdl.handle.net/20.500.12708/54200 ( reposiTUm)

Federico, P., Aigner, W., Miksch, S., Windhager, F., & Smuc, M. (2012). Vertigo zoom. In Proceedings of the International Working Conference on Advanced Visual Interfaces - AVI ’12. 11th International Working Conference on Advanced Visual Interfaces (AVI2012), Capri Island, EU. ACM. https://doi.org/10.1145/2254556.2254640 ( reposiTUm)

Alsallakh, B., Bodesinsky, P., Miksch, S., & Nasseri, D. (2012). Visualizing Arrays in the Eclipse Java IDE. In T. Mens, A. Cleve, & R. Ferenc (Eds.), 16th European Conference on Software Maintenance and Reengineering (pp. 541–544). IEEE Computer Society. http://hdl.handle.net/20.500.12708/54118 ( reposiTUm)

Alsallakh, B., Bodesinsky, P., Gruber, A., & Miksch, S. (2012). Visual Tracing for the Eclipse Java Debugger. In T. Mens, A. Cleve, & R. Ferenc (Eds.), 16th European Conference on Software Maintenance and Reengineering (pp. 545–548). IEEE Computer Society. http://hdl.handle.net/20.500.12708/54119 ( reposiTUm)

Rind, A., Neubauer, B., Aigner, W., & Miksch, S. (2012). Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time. In K. Matkovic & G. Santucci (Eds.), EuroVA 2012 Poster Proceedings (p. 3). http://hdl.handle.net/20.500.12708/54121 ( reposiTUm)

Federico, P., Pfeffer, J., Aigner, W., Miksch, S., & Zenk, L. (2012). Visual Analysis of Dynamic Networks Using Change Centrality. In 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. The IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Istanbul, Turkey, Non-EU. IEEE. https://doi.org/10.1109/asonam.2012.39 ( reposiTUm)

Federico, P., Aigner, W., Miksch, S., Pfeffer, J., Smuc, M., Windhager, F., & Zenk, L. (2012). ViENA: Visual Enterprise Network Analytics. In Poster Proceedings of the 3rd International Eurovis workshop on Visual Analytics (EuroVA) (p. 12). http://hdl.handle.net/20.500.12708/54133 ( reposiTUm)

Aigner, W., Federico, P., Gschwandtner, T., Miksch, S., & Rind, A. (2012). Challenges of Time-oriented Data in Visual Analytics for Healthcare. In J. J. Caban & D. Gotz (Eds.), Proceedings of the IEEE VisWeek Workshop on Visual Analytics in Healthcare (p. 4). http://hdl.handle.net/20.500.12708/54241 ( reposiTUm)

Gschwandtner, T., Gärtner, J., Aigner, W., & Miksch, S. (2012). A Taxonomy of Dirty Time-Oriented Data. In Multidisciplinary Research and Practice for Informations Systems IFIP WG 8.4, 8.9, TC 5 International Cross Domain Conference and Workshop on Availability, Reliability, and Security, CD-ARES 2012, Prague, Czech Republic, August 20-24, 2012, Proceedings (pp. 58–72). Lecture Notes in Computer Science (LNCS) / Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_5 ( reposiTUm)

Pohl, M., Wiltner, S., Rind, A., Aigner, W., Miksch, S., Turic, T., & Drexler, F. (2011). Patient Development at a Glance: An Evaluation of a Medical Data Visualization. In P. Campos, N. Graham, J. Jorge, N. Nunes, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2011 (pp. 292–299). Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-23768-3_24 ( reposiTUm)

Schneider, T., & Aigner, W. (2011). A-plan. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW ’11. International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz, Austria. ACM. https://doi.org/10.1145/2024288.2024341 ( reposiTUm)

Aigner, W. (2011). Understanding the Role and Value of Interaction: First Steps. In S. Miksch & G. Santucci (Eds.), Proceedings of International Workshop on Visual Analytics (EuroVA 2011) (pp. 17–20). The Eurographics Association. http://hdl.handle.net/20.500.12708/53648 ( reposiTUm)

Alsallakh, B., Gröller, E., Miksch, S., & Suntinger, M. (2011). Contingency Wheel: Visual Analysis of Large Contingency Tables. In S. Miksch & G. Santucci (Eds.), Proceedings of International Workshop on Visual Analytics (EuroVA 2011) (pp. 53–56). The Eurographics Association. http://hdl.handle.net/20.500.12708/53658 ( reposiTUm)

Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., & Seyfang, A. (2011). CareCruiser: Exploring and visualizing plans, events, and effects interactively. In G. Di Battista, J.-D. Fekete, & H. Qu (Eds.), 2011 IEEE Pacific Visualization Symposium. IEEE. https://doi.org/10.1109/pacificvis.2011.5742371 ( reposiTUm)

Gschwandtner, T., Aigner, W., Kaiser, K., Miksch, S., & Seyfang, A. (2011). Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data. In Proceedings of the 25th BCS Conference on Human-Computer Interaction (HCI 2011) (pp. 421–428). BCS. http://hdl.handle.net/20.500.12708/53666 ( reposiTUm)

Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Turic, T., & Drexler, F. (2011). Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation. In A. Holzinger & K.-M. Simonic (Eds.), Information Quality in e-Health : 7th Conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011, Graz, Austria, November 25-26, 2011, Proceedings (pp. 301–320). Springer. https://doi.org/10.1007/978-3-642-25364-5_22 ( reposiTUm)

Federico, P., Aigner, W., Miksch, S., Windhager, F., & Zenk, L. (2011). A visual analytics approach to dynamic social networks. In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies - i-KNOW ’11. International Conference on Knowledge Management and Knowledge Technologies (I-KNOW), Special Track on Theory and Applications of Visual Analytics (TAVA), Graz, Austria. ACM. https://doi.org/10.1145/2024288.2024344 ( reposiTUm)

Rind, A., Aigner, W., Miksch, S., Wiltner, S., Pohl, M., Drexler, F., Neubauer, B., & Suchy, N. (2011). Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots. In M. M. Robertson (Ed.), Ergonomics and Health Aspects of Work with Computers (pp. 139–148). Springer. https://doi.org/10.1007/978-3-642-21716-6_15 ( reposiTUm)

Archambault, D., Abello, J., Kennedy, J., Kobourov, S., Ma, K.-L., Miksch, S., Muelder, C., & Telea, A. C. (2014). Temporal Multivariate Networks. In Multivariate Network Visualization (pp. 151–174). Springer. https://doi.org/10.1007/978-3-319-06793-3_8 ( reposiTUm)

Kriglstein, S., Pohl, M., & Smuc, M. (2013). Pep Up Your Time Machine: Recommendations for the Design of Information Visualizations of Time-Dependent Data. In W. Huang (Ed.), Handbook of Human Centric Visualization (pp. 203–225). Springer. http://hdl.handle.net/20.500.12708/27922 ( reposiTUm)

Meyer, J., Thomas, J., Diehl, S., Fisher, B. D., Keim, D., Laidlaw, D., Miksch, S., Müller, K., Ribarsky, W., Preim, B., & Ynnerman, A. (2010). From Visualization to Visually Enabled Reasoning. In H. Hagen (Ed.), Scientific Visualization: Advanced Concepts (pp. 227–245). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany. http://hdl.handle.net/20.500.12708/27644 ( reposiTUm)

Process Support and Knowledge Representation in Health Care. (2013). In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Lecture Notes in Computer Science. Springer-Verlag, Lecture Notes in Artificial Intelligence 8268. https://doi.org/10.1007/978-3-319-03916-9 ( reposiTUm)

Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2011). Visualization of Time-Oriented Data. Springer. https://doi.org/10.1007/978-0-85729-079-3 ( reposiTUm)

Miksch, S., Riano, D., & ten Teije, A. (Eds.). (2014). Knowledge Representation for Health Care. Springer International Publishing. https://doi.org/10.1007/978-3-319-13281-5 ( reposiTUm)

Process Support and Knowledge Representation in Health Care. (2013). In R. Lenz, S. Miksch, M. Peleg, M. Reichert, D. Riano, & A. ten Teije (Eds.), Lecture Notes in Computer Science. Springer-Verlag, Lecture Notes in Artificial Intelligence 8268. https://doi.org/10.1007/978-3-642-36438-9 ( reposiTUm)

Miksch, S., & Ward, M. (Eds.). (2011). 2011 IEEE Conference on Visual Analytics Science and Technology (VAST). IEEE Computer Society Press. https://doi.org/10.1109/VAST19326.2011 ( reposiTUm)

MacEachren, A. M., & Miksch, S. (Eds.). (2010). IEEE Conference on Visual Analytics Science and Technology 2010 (VAST 2010). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/23538 ( reposiTUm)

Bögl, M., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Leite, R. A., Miksch, S., & Rind, A. (2017). Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2017), Barcelona, Spain. http://hdl.handle.net/20.500.12708/86509 ( reposiTUm)

Bors, C., Bögl, M., Gschwandtner, T., & Miksch, S. (2017). Visual Support for Rastering of Unequally Spaced Time Series. Data Science, Statistics & Visualisation, Lissabon, Portugal. http://hdl.handle.net/20.500.12708/86514 ( reposiTUm)

Alsallakh, B., Aigner, W., Miksch, S., & Hauser, H. (2013). Radial Sets: Interactive Visual Analysis of Large Overlapping Sets. IEEE Conference on Information Visualization (InfoVis 2013), Atlanta, United States of America (the). http://hdl.handle.net/20.500.12708/85612 ( reposiTUm)

Bögl, M., Aigner, W., Filzmoser, P., Lammarsch, T., Miksch, S., & Rind, A. (2013). Visual Analytics for Model Selection in Time Series Analysis. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Atlanta, United States of America (the). http://hdl.handle.net/20.500.12708/85611 ( reposiTUm)

Rind, A., Lammarsch, T., Aigner, W., Alsallakh, B., & Miksch, S. (2013). TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data. IEEE Conference on Visual Analytics Science and Technology (IEEE VAST), Atlanta, United States of America (the). http://hdl.handle.net/20.500.12708/85606 ( reposiTUm)

Alsallakh, B. (2013). State-of-the-art methods for visualizing set-typed data. Seminar of the Computational Intelligence Group, University of Kent, Canterbury, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/85660 ( reposiTUm)

Gschwandtner, T. (2012). CareCruiser - Interactive Exploration of Effects of Therapeutic Actions on a Patient’s Condition. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85352 ( reposiTUm)

Alsallakh, B. (2012). Visual Analytics of Large Tabular Data. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85353 ( reposiTUm)

Federico, P. (2012). Interactive Visual Analysis of Dynamic Networks. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85351 ( reposiTUm)

Rind, A. (2012). TimeRider - Exploring Bivariate Data across Time with Static and Dynamic Scatter Plots. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85346 ( reposiTUm)

Alsallakh, B. (2012). Visual Analytics of Large Multivariate Matrix Data. IEEE VIS Doctoral Colloquium, Seattle, Non-EU. http://hdl.handle.net/20.500.12708/85419 ( reposiTUm)

Federico, P., Aigner, W., Miksch, S., Windhager, F., & Zenk, L. (2011). Visual Analytics of Dynamic Networks - A Case Study. The Third International UKVAC Workshop on Visual Analytics (VAW 2011), London, UK, EU. http://hdl.handle.net/20.500.12708/85147 ( reposiTUm)

Federico, P. (2011). Visual analytics of dynamic social networks. IEEE VisWeek 2011 Doctoral Colloquium, Providence, RI, Non-EU. http://hdl.handle.net/20.500.12708/85162 ( reposiTUm)