Piccolotto, N., Wallinger, M., Miksch, S., & Bögl, M. (2025). UnDRground Tubes: Exploring Spatial Data With Multidimensional Projections and Set Visualization. IEEE Transactions on Visualization and Computer Graphics, 31(1), 196–206. https://doi.org/10.1109/TVCG.2024.3456314 ( reposiTUm)

Baumgartl, T., Ghoniem, M., von Landesberger, T., Marai, G. E., Miksch, S., Mohr, S., Scheithauer, S., & Srivastava, N. (2025). Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users. IEEE Computer Graphics and Applications, 45(1), 130–138. https://doi.org/10.1109/MCG.2024.3509293 ( reposiTUm)

Bonerath, A., Carbon, C.-C., Miksch, S., Patrignani, M., & Tappini, A. (2025). Time-Dependent Route Planning on Maps: A User Study. Journal of Perceptual Imaging : JPI, 8, 1–12. https://doi.org/10.2352/J.Percept.Imaging.2025.8.000401 ( reposiTUm)

Tuscher, M., Filipov, V., Kamencek, T., Rosenberg, R., & Miksch, S. (2025). Nodes, Edges, and Artistic Wedges: A Survey on Network Visualization in Art History. Computer Graphics Forum, 44(3). https://doi.org/10.1111/cgf.70154 ( reposiTUm)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2024). Guided visual analytics for image selection in time and space. IEEE Transactions on Visualization and Computer Graphics, 30(1), 66–75. https://doi.org/10.1109/TVCG.2023.3326572 ( reposiTUm)

Schmidt, J., Pointner, B., & Miksch, S. (2024). Visual Analytics for Understanding Draco’s Knowledge Base. IEEE Transactions on Visualization and Computer Graphics, 30(1), 392–402. https://doi.org/10.1109/TVCG.2023.3326912 ( reposiTUm)

Pérez-Messina, I., Ceneda, D., & Miksch, S. (2024). Enhancing Visual Analytics systems with guidance: A task-driven methodology. COMPUTERS & GRAPHICS-UK, 125(Special Issue on Highlights from EuroVA 2023), Article 104121. https://doi.org/10.1016/j.cag.2024.104121 ( reposiTUm)

Cappello, C., Piccolotto, N., Mühlmann, C., Bögl, M., Filzmoser, P., Miksch, S., & Nordhausen, K. (2024). Visual Interactive Parameter Selection for Temporal Blind Source Separation. Journal of Data Science, Statistics, and Visualisation, 4(3). https://doi.org/10.52933/jdssv.v4i3.82 ( reposiTUm)

Miksch, S., Di Ciccio, C., Soffer, P., & Weber, B. (2024). Visual Analytics Meets Process Mining: Challenges and Opportunities. IEEE Computer Graphics and Applications, 44(6), 132–141. https://doi.org/10.1109/MCG.2024.3456916 ( reposiTUm)

Di Ciccio, C., Miksch, S., Soffer, P., Weber, B., & Meroni, G. (2024). Human in the (Process) Mines. Dagstuhl Reports, 13(7), Article DagRep.13.7.1. https://doi.org/10.4230/DagRep.13.7.1 ( reposiTUm)

Filipov, V., Arleo, A., & Miksch, S. (2023). Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies. Computer Graphics Forum. https://doi.org/10.1111/cgf.14794 ( reposiTUm)

Arleo, A., Tsigkanos, C., Leite, R. A., Dustdar, S., Miksch, S., & Sorger, J. (2023). Visual Exploration of Financial Data with Incremental Domain Knowledge. Computer Graphics Forum, 42(1), 101–116. https://doi.org/10.1111/cgf.14723 ( reposiTUm)

Wu, A., Deng, D., Chen, M., Liu, S., Keim, D., Maciejewski, R., Miksch, S., Strobelt, H., Viegas, F., & Wattenberg, M. (2023). Grand Challenges in Visual Analytics Applications. IEEE Computer Graphics and Applications, 43(5), 83–90. https://doi.org/10.1109/MCG.2023.3284620 ( reposiTUm)

Filipov, V., Arleo, A., Bögl, M., & Miksch, S. (2023). On network structural and temporal encodings: a space and time odyssey. IEEE Transactions on Visualization and Computer Graphics, 14(8). https://doi.org/10.34726/5410 ( reposiTUm)

Piccolotto, N., Bögl, M., & Miksch, S. (2023). Visual Parameter Space Exploration in Time and Space. Computer Graphics Forum, 2023. https://doi.org/10.1111/cgf.14785 ( reposiTUm)

Piccolotto, N., Bogl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023). Data Type Agnostic Visual Sensitivity Analysis. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3327203 ( reposiTUm)

Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A heuristic approach for dual expert/end-user evaluation of guidance in visual analytics. IEEE Transactions on Visualization and Computer Graphics, 30(1), 997–1007. https://doi.org/10.1109/TVCG.2023.3327152 ( reposiTUm)

Tominski, C., Behrisch, M., Bleisch, S., Fabrikant, S. I., Mayr, E., Miksch, S., & Purchase, H. (2023). Visualizing Uncertainty in Sets. IEEE Computer Graphics and Applications, 1–13. https://doi.org/10.1109/MCG.2023.3300441 ( reposiTUm)

Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., & Aigner, W. (2022). Perspectives of Visualization Onboarding and Guidance in VA. Visual Informatics, 6(1), 68–83. https://doi.org/10.1016/j.visinf.2022.02.005 ( reposiTUm)

Piccolotto, N., Bögl, M., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). Visual Parameter Selection for Spatial Blind Source Separation. Computer Graphics Forum, 41(3), 157–168. https://doi.org/10.1111/cgf.14530 ( reposiTUm)

Piccolotto, N., Bögl, M., Gschwandtner, T., Muehlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022). TBSSvis: Visual analytics for temporal blind source separation. Visual Informatics, 6(4), 51–66. https://doi.org/10.1016/j.visinf.2022.10.002 ( reposiTUm)

Arleo, A., Miksch, S., & Archambault, D. (2022). Event‐based Dynamic Graph Drawing without the Agonizing Pain. Computer Graphics Forum. https://doi.org/10.1111/cgf.14615 ( reposiTUm)

Perez Messina, I. B., Ceneda, D., El-Assady, M., Miksch, S., & Sperrle, F. (2022). A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments. Computer Graphics Forum, 41(3), 465–476. https://doi.org/10.1111/cgf.14555 ( reposiTUm)

Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2022). Influence Maximization with Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(10), 3428–3440. https://doi.org/10.1109/TVCG.2022.3190623 ( reposiTUm)

Lee, B., Miksch, S., Ynnerman, A., Bezerianos, A., Chen, J., Chen, W., Collins, C., Gleicher, M., Gröller, E., Lex, A., Preim, B., Seo, J., Westermann, R., Yang, J., Yuan, X., Shen, H. W., Fekete, J. D., & Liu, S. (2022). VIS 2021 - Preface. IEEE Transactions on Visualization and Computer Graphics, 28(1), XIV–XXIII. https://doi.org/10.1109/TVCG.2021.3114891 ( reposiTUm)

Lee, B., Miksch, S., Ynnerman, A., Bezerianos, A., Chen, J., Chen, W., Collins, C., Gleicher, M., Gröller, E., Lex, A., Preim, B., Seo, J., Westermann, R., Yang, J., Yuan, X., Shen, H.-W., Fekete, J.-D., & Liu, S. (2022). Preface. IEEE Transactions on Visualization and Computer Graphics, 28(1), xiv–xxiii. https://doi.org/10.1109/TVCG.2021.3114891 ( reposiTUm)

Filipov, V., Schetinger, V., Raminger, K., Soursos, N., Zapke, S., & Miksch, S. (2021). Gone full circle: A radial approach to visualize event-based networks in digital humanities. Visual Informatics, 5(1), 45–60. https://doi.org/10.1016/j.visinf.2021.01.001 ( reposiTUm)

Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2021). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4570–4581. https://doi.org/10.1109/tvcg.2021.3094870 ( reposiTUm)

Tominski, C., Andrienko, G., Andrienko, N., Bleisch, S., Fabrikant, S. I., Mayr, E., Miksch, S., Pohl, M., & Skupin, A. (2021). Toward Flexible Visual Analytics Augmented through Smooth Display Transitions. Visual Informatics, 5(3), 28–38. https://doi.org/10.1016/j.visinf.2021.06.004 ( reposiTUm)

Andrienko, N., Andrienko, G., Miksch, S., Schumann, H., & Wrobel, S. (2021). A Theoretical Model for Pattern Discovery in Visual Analytics. Visual Informatics, 5(1), 23–42. https://doi.org/10.1016/j.visinf.2020.12.002 ( reposiTUm)

Ceneda, D., Andrienko, N., Andrienko, G., Gschwandtner, T., Miksch, S., Piccolotto, N., Schreck, T., Streit, M., Suschnigg, J., & Tominski, C. (2020). Guide Me in Analysis: A Framework for Guidance Designers. Computer Graphics Forum, 39(6), 269–288. https://doi.org/10.1111/cgf.14017 ( reposiTUm)

Windhager, F., Salisu, S., Leite, R. A., Filipov, V., Miksch, S., Schreder, G., & Mayr, E. (2020). Many Views Are Not Enough: Designing for Synoptic Insights in Cultural Collections. IEEE Computer Graphics and Applications, 40(3), 58–71. https://doi.org/10.1109/mcg.2020.2985368 ( reposiTUm)

A. Leite, R., Arleo, A., Sorger, J., Gschwandtner, T., & Miksch, S. (2020). Hermes: Guidance-enriched Visual Analytics for Economic Network Exploration. Visual Informatics, 4(4), 11–22. https://doi.org/10.1016/j.visinf.2020.09.006 ( reposiTUm)

A. Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2020). NEVA: Visual Analytics to Identify Fraudulent Networks. Computer Graphics Forum, 39(6), 344–359. https://doi.org/10.1111/cgf.14042 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). You get by with a little help: The effects of variable guidance degrees on performance and mental state. Visual Informatics, 3(4), 177–191. https://doi.org/10.1016/j.visinf.2019.10.005 ( reposiTUm)

Bors, C., Gschwandtner, T., & Miksch, S. (2019). Capturing and Visualizing Provenance From Data Wrangling. IEEE Computer Graphics and Applications, 39(6), 61–75. https://doi.org/10.1109/mcg.2019.2941856 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A review of guidance approaches in visual data analysis: A multifocal perspective. Computer Graphics Forum, 38(3), 861–879. https://doi.org/10.1111/cgf.13730 ( reposiTUm)

Windhager, F., Federico, P., Schreder, G., Glinka, K., Dörk, M., Miksch, S., & Mayr, E. (2019). Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges. IEEE Transactions on Visualization and Computer Graphics, 25(6), 2311–2330. https://doi.org/10.1109/tvcg.2018.2830759 ( reposiTUm)

Filipov, V., Arleo, A., Miksch, S., & Federico, P. (2019). CV3: Visual Exploration, Assessment, and Comparison of CVs. Computer Graphics Forum, 38(3), 107–118. https://doi.org/10.1111/cgf.13675 ( reposiTUm)

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)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Characterizing Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 23(1), 111–120. https://doi.org/10.1109/tvcg.2016.2598468 ( reposiTUm)

Federico, P., Heimerl, F., Koch, S., & Miksch, S. (2016). A Survey on Visual Approaches for Analyzing Scientific Literature and Patents. IEEE Transactions on Visualization and Computer Graphics, 23(9), 2179–2198. https://doi.org/10.1109/tvcg.2016.2610422 ( 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)

Gschwandtner, T., Bögl, M., Federico, P., & Miksch, S. (2016). Visual Encodings of Temporal Uncertainty: A Comparative User Study. IEEE Transactions on Visualization and Computer Graphics, 22(1), 539–548. https://doi.org/10.1109/tvcg.2015.2467752 ( 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)

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)

Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2014). Mind the time: Unleashing temporal aspects in pattern discovery. Computers and Graphics, 38, 38–50. https://doi.org/10.1016/j.cag.2013.10.007 ( 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)

Pohl, M., Wiltner, S., Miksch, S., Aigner, W., & Rind, A. (2012). Analysing Interactivity in Information Visualisation. KI - Künstliche Intelligenz, 26(2), 151–159. https://doi.org/10.1007/s13218-012-0167-6 ( 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)

Bruckner, S., Miksch, S., & Pfister, H. (2012). Preface : Europgraphics Conference on Visualization (EuroVis 2012). Computer Graphics Forum, 31(3). http://hdl.handle.net/20.500.12708/164900 ( reposiTUm)

Hallenberger, A., Urschitz, M., Müller-Hansen, I., Miksch, S., Seyfang, A., Horn, W., & Poets, C. F. (2012). 399 Automatic Control of the Inspired Oxygen Fraction in Preterm Infants. Preliminary Results of a Multicenter Randomized Cross-Over Trial. Archives of Disease in Childhood, 97(Suppl 2), A117–A117. https://doi.org/10.1136/archdischild-2012-302724.0399 ( 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)

Gschwandtner, T., Kaiser, K., Martini, P., & Miksch, S. (2010). Easing Semantically Enriched Information Retrieval - An Interactive Semi-Automatic Annotation System for Medical Documents. International Journal of Human-Computer Studies, 68(6), 370–385. https://doi.org/10.1016/j.ijhcs.2009.08.002 ( reposiTUm)

Smuc, M., Mayr, E., Lammarsch, T., Aigner, W., Miksch, S., & Gärtner, J. (2009). To Score or Not to Score? Tripling Insights for Participatory Design. IEEE Computer Graphics and Applications, 29(3), 29–38. https://doi.org/10.1109/mcg.2009.53 ( reposiTUm)

Kaiser, K., & Miksch, S. (2009). Versioning computer-interpretable guidelines: Semi-automatic modeling of “Living Guidelines” using an information extraction method. Artificial Intelligence in Medicine, 46(1), 55–66. https://doi.org/10.1016/j.artmed.2008.08.009 ( reposiTUm)

Kaiser, K., Akkaya, C., & Miksch, S. (2007). How can Information Extraction ease formalizing treatment processes in clinical practice guidelines? A method and its evaluation. Artificial Intelligence in Medicine, 39(2), 151–163. http://hdl.handle.net/20.500.12708/169624 ( reposiTUm)

Leong, T. Y., Kaiser, K., & Miksch, S. (2007). Free and Open Source Enabling Technologies for Patient-Centric, Guideline-Based Clinical Decision Support: A Survey. IMIA Yearbook of Medical Informatics, 16(1), 74–86. https://doi.org/10.1055/s-0038-1638529 ( reposiTUm)

Aigner, W., & Miksch, S. (2006). CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data. Artificial Intelligence in Medicine, 37(3), 203–218. http://hdl.handle.net/20.500.12708/173383 ( reposiTUm)

ten Teije, A., Marcos, M., Balser, M., van Croonenborg, J., Duelli, C., van Harmelen, F., Lucas, P., Miksch, S., Reif, W., Rosenbrand, K., & Seyfang, A. (2006). Improving medical protocols by formal methods. Artificial Intelligence in Medicine, 36(3), 193–209. http://hdl.handle.net/20.500.12708/173388 ( reposiTUm)

Hinum, K., Miksch, S., Aigner, W., Ohmann, S., Popow, C., Pohl, M., & Rester, M. (2005). Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data. Journal of Universal Computer Science, 11(11), 1792–1805. http://hdl.handle.net/20.500.12708/173366 ( reposiTUm)

van der Linden, S., Filipov, V., Pufahl, L., Miksch, S., & van den Elzen, S. (2025). Towards Integrating Visual Analytics in Multi-Perspective Conformance Checking: A Call to Action. In H.-J. Schulz & A. Vilanova (Eds.), EuroVA 2025 : EuroVis Workshop on Visual Analytics. Eurographics Association. https://doi.org/10.2312/eurova.20251100 ( reposiTUm)

Piccolotto, N., Wallinger, M., Miksch, S., & Bögl, M. (2024). On Combined Visual Cluster and Set Analysis. In 2024 IEEE Visualization and Visual Analytics (VIS) (pp. 131–135). IEEE. https://doi.org/10.1109/VIS55277.2024.00034 ( reposiTUm)

Tuscher, M., Filipov, V., Kamencek, T., Rosenberg, R., & Miksch, S. (2024). Mapping the Avantgarde: Visualizing Modern Artists’ Exhibition Activity. In EuroVisShort 2024. EuroVisShort 2024, Denmark. https://doi.org/10.2312/evs.20241063 ( reposiTUm)

Perez Messina, I. B., Ceneda, D., Schetinger, V., & Miksch, S. (2024). Persistent Interaction: User-Generated Artefacts in Visual Analytics. In M. El-Assady & H.-J. Schulz (Eds.), EuroVA 2024 : EuroVis Workshop on Visual Analytics. The Eurographics Association. https://doi.org/10.2312/eurova.20241106 ( reposiTUm)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023). A Methodology for Task-Driven Guidance Design. In M. Angelini & M. El-Assady (Eds.), EuroVA 2023 : EuroVis Workshop on Visual Analytics (pp. 37–42). The Eurographics Association. https://doi.org/10.2312/eurova.20231094 ( reposiTUm)

Piccolotto, N., Bögl, M., & Miksch, S. (2023). Multi-Ensemble Visual Analytics via Fuzzy Sets. In M. Angelini & M. El-Assady (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 25–30). The Eurographics Association. https://doi.org/10.2312/eurova.20231092 ( reposiTUm)

Filipov, V., Arleo, A., Bögl, M., & Miksch, S. (2023). On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings. In P. Angelini & R. von Hanxleden (Eds.), Graph Drawing and Network Visualization. GD 2022 (pp. 271–288). Springer Cham. https://doi.org/10.1007/978-3-031-22203-0_20 ( reposiTUm)

Arleo, A., Miksch, S., & Archambault, D. (2021). A Multilevel Approach for Event-Based Dynamic Graph Drawing. In M. Agus, C. Garth, & A. Kerren (Eds.), EuroVis 2021 - Short Papers (p. 5). Eurographics Association. https://doi.org/10.2312/evs.20211063 ( reposiTUm)

Filipov, V., Arleo, A., & Miksch, S. (2021). Exploratory User Study on Graph Temporal Encodings. In 2021 IEEE 14th Pacific Visualization Symposium (PacificVis). 14th Pacific Visualization Symposium (PacificVis 2021), Tianjin, China. IEEE 14th Pacific Visualization Symposium (PacificVis). https://doi.org/10.1109/pacificvis52677.2021.00025 ( reposiTUm)

Scheidl, A., Almeida Leite, R., & Miksch, S. (2021). VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space. In M. Agus, C. Garth, & A. Kerren (Eds.), EuroVis 2021 - Short Papers (pp. 61–65). The Eurographics Association. https://doi.org/10.2312/evs.20211056 ( reposiTUm)

A. Leite, R., Schetinger, V., Ceneda, D., Henz, B., & Miksch, S. (2020). COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism. In E. Bertini, R. Bujack, C. Collins, W. Dou, A. Lex, & T. Ropinski (Eds.), 2020 IEEE VIsualization Conference (VIS) - short paper (p. 1). IEEE. http://hdl.handle.net/20.500.12708/58208 ( reposiTUm)

Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2020). VAIM: Visual Analytics for Influence Maximization. In Graph Drawing and Network Visualization (pp. 115–123). Springer LNCS. https://doi.org/10.1007/978-3-030-68766-3_9 ( reposiTUm)

Bors, C., Eichner, C., Miksch, S., Tominski, C., Schumann, H., & Gschwandner, T. (2020). Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques. In EuroVis 2020 - Short Papers (pp. 1–5). Eurographics Association. https://doi.org/10.2312/evs.20201040 ( reposiTUm)

Salisu, S., Mayr, E., Filipov, V., Almeida Leite, R., Miksch, S., & Windhager, F. (2019). Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections. In J. M. Pereira & R. Raidou (Eds.), 21st EG/VGTC Conference on Visualization (EuroVis 2019) (pp. 45–47). Proceedings of the 21st EG/VGTC Conference on Visualization (EuroVis 2019). https://doi.org/10.2312/eurp.20191142 ( reposiTUm)

Filipov, V., Soursos, N., Schetinger, V., Zapke, S., & Miksch, S. (2019). Exiled but not forgotten: Investigating commemoration of musicians in Vienna after 1945 through Visual Analytics. In Proceedings of the Third Conference on Biographical Data in a Digital World 2019 (p. 9). Proceedings of the Third Conference on Biographical Data in a Digital World 2019. http://hdl.handle.net/20.500.12708/58009 ( reposiTUm)

Bors, C., Bernard, J., Bögl, M., Gschwandtner, T., Kohlhammer, J., & Miksch, S. (2019). Quantifying Uncertainty in Multivariate Time Series Pre-Processing. In T. von Landesberger & C. Turkay (Eds.), EuroVis Workshop on Visual Analytics (pp. 31–35). Proceedings of the 21st EG/VGTC Conference on Visualization (EuroVis 2019). https://doi.org/10.2312/eurova.20191121 ( reposiTUm)

Arleo, A., Tsigkanos, C., Jia, C., Almeida Leite, R., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge. In 2019 IEEE Visualization Conference (VIS). 2019 IEEE Visualization Conference (VIS), Vancouver, British Columbia, Canada. IEEE. https://doi.org/10.1109/visual.2019.8933598 ( reposiTUm)

Mayr, E., Salisu, S., Filipov, V., Schreder, G., Almeida Leite, R., Miksch, S., & Windhager, F. (2019). Visualizing Biographical Trajectories by Historical Artifacts: A Case Study based on the Photography Collection of Charles W. Cushman. In Proceedings of the Third Conference on Biographical Data in a Digital World 2019 (p. 8). Proceedings of the Third Conference on Biographical Data in a Digital World 2019. http://hdl.handle.net/20.500.12708/58053 ( reposiTUm)

Bernard, J., Bors, C., Bögl, M., Eichner, C., Gschwandtner, T., Miksch, S., Schumann, H., & Kohlhammer, J. (2018). Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series. In C. Tomonski & T. von Landesberger (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) 2018 (pp. 49–53). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181112 ( 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)

Ceneda, D., Gschwandtner, T., Miksch, S., & Tominski, C. (2018). Guided Visual Exploration of Cyclical Patterns in Time-series. In Visualization in Data Science. Visualization in Data Science (VDS at IEEE VIS 2018), Berlin, Germany. IEEE Digital Library. http://hdl.handle.net/20.500.12708/57468 ( reposiTUm)

Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2018). Network Analysis for Financial Fraud Detection. In A. Puig & R. Raidou (Eds.), Proceedings of Eurographics Conference on Visualization (EuroVis 2018) (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181120 ( reposiTUm)

Bögl, M., Bors, C., Gschwandtner, T., & Miksch, S. (2018). Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (pp. 45–47). The Eurographics Association. https://doi.org/10.2312/eurp.20181126 ( reposiTUm)

Filipov, V., Federico, P., & Miksch, S. (2018). CV3: Visual Exploration, Assessment, and Comparison of CVs. In A. Puig & R. Raidou (Eds.), EuroVis 2018 - Posters (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181115 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Streit, M., & Tominski, C. (2018). Guidance or No Guidance? A Decision Tree Can Help. In C. Tominski & T. von Landesberger (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 19–23). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181107 ( reposiTUm)

Amor-Amoros, A., Federico, P., Miksch, S., Zambanini, S., Brenner, S., & Sablatnig, R. (2017). Visual Analytics for Multitemporal Aerial Image Georeferencing. In M. Sedlmair & C. Tominski (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics (EuroVA) (pp. 55–59). The Eurographics Association. https://doi.org/10.2312/eurova.20171120 ( reposiTUm)

Federico, P., Wagner, M., Rind, A., Amor-Amoros, A., Miksch, S., & Aigner, W. (2017). The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics. In Proceedings of the IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017) (pp. 1–12). http://hdl.handle.net/20.500.12708/56998 ( 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)

Federico, P., & Miksch, S. (2016). Evaluation of Two Interaction Techniques for Visualization of Dynamic Graphs. In Graph Drawing and Network Visualization. GD 2016 (pp. 557–571). Springer. https://doi.org/10.1007/978-3-319-50106-2_43 ( reposiTUm)

Ceneda, D., Aigner, W., Bögl, M., Gschwandtner, T., & Miksch, S. (2016). Guiding the Visualization of Time-oriented Data. In Proceedings of IEEE VIS. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/56578 ( reposiTUm)

Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2016). Visual Analytics for Fraud Detection: Focusing on Profile Analysis. In T. Isenberg & F. Sadlo (Eds.), Poster proceedings of Eurographics Conference on Visualization (EuroVis 2016) (p. 3). http://hdl.handle.net/20.500.12708/56485 ( reposiTUm)

Windhager, F., Mayr, E., Schreder, G., Smuc, M., Federico, P., & Miksch, S. (2016). Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes. In Proceedings of the 3rd HistoInformatics Workshop on Computational History (HistoInformatics 2016), (pp. 20–24). CEUR-WS. http://hdl.handle.net/20.500.12708/55430 ( reposiTUm)

Federico, P., Amor-Amorós, A., & Miksch, S. (2016). A Nested Workflow Model for Visual Analytics Design and Validation. In Proceedings of the Beyond Time and Errors on Novel Evaluation Methods for Visualization - BELIV ’16. Sixth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualisation (BELIV ´16), Baltimore, United States of America (the). ACM. https://doi.org/10.1145/2993901.2993915 ( reposiTUm)

Mayr, E., Federico, P., Miksch, S., Schreder, G., Smuc, M., & Windhager, F. (2016). Visualization of Cultural Heritage Data for Casual Users. In Workshop on Visualization for the Digital Humanities (p. 4). http://hdl.handle.net/20.500.12708/56535 ( reposiTUm)

Amor-Amoros, A., Federico, P., & Miksch, S. (2016). Visually-supported graph traversals for exploratory analysis. In Proceedings of IEEE VIS (p. 2). http://hdl.handle.net/20.500.12708/56552 ( reposiTUm)

Federico, P., Unger, J., Amor-Amoros, A., Sacchi, L., Klimov, D., & Miksch, S. (2015). Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts. In E. Bertini & J. C. Roberts (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 79–83). The Eurographics Association. https://doi.org/10.2312/eurova.20151108 ( reposiTUm)

Bodesinsky, P., Alsallakh, B., Gschwandtner, T., & Miksch, S. (2015). Exploration and Assessment of Event Data. In E. Bertini & J. C. Roberts (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 67–71). The Eurographics Association. https://doi.org/10.2312/eurova.20151106 ( reposiTUm)

Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. In J. Yang, E. Bertini, N. Elmqvist, T. Dwyer, X. Yuan, & H. Carr (Eds.), EuroVA 2015 EuroVis Workshop on Visual Analytics (pp. 73–78). The Eurographics Association. https://doi.org/10.2312/eurova.20151107 ( reposiTUm)

Windhager, F., Amor-Amorós, A., Smuc, M., Federico, P., Zenk, L., & Miksch, S. (2015). A Concept for the Exploratory Visualization of Patent Network Dynamics. In Proceedings of the 6th International Conference on Information Visualization Theory and Applications. The International Conference on Information Visualization Theory and Applications IVAPP, Berlin, Germany. https://doi.org/10.5220/0005360002680273 ( reposiTUm)

Bors, C., Gschwandtner, T., & Miksch, S. (2015). QualityFlow: Provenance Generation from Data Quality. In R. Maciejewski & F. Marton (Eds.), Proceedings of the Eurographics Conference on Visualization (EuroVis) - Posters 2015 (p. 3). Eurographics Association. http://hdl.handle.net/20.500.12708/56051 ( 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)

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)

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, EU. http://hdl.handle.net/20.500.12708/55156 ( 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)

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, USA, Austria. http://hdl.handle.net/20.500.12708/55158 ( 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)

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), EU. 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)

Pohl, M., Scholz, F., Kriglstein, S., Alsallakh, B., & Miksch, S. (2014). Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study. In S. Yamamoto (Ed.), Human Interface and the Management of Information. Information and Knowledge Design and Evaluation (pp. 76–86). Springer. https://doi.org/10.1007/978-3-319-07731-4_8 ( 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, Frankreich, EU. ACM digital library. https://doi.org/10.1145/2669557.2669568 ( reposiTUm)

Lammarsch, T., Aigner, W., Miksch, S., & Rind, A. (2014). Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing. In Y. Jansen, P. Isenberg, J. Dykes, S. Carpendale, & D. Keefe (Eds.), Death of the Desktop - Envisioning Visualization without Desktop Computing. http://hdl.handle.net/20.500.12708/55768 ( 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)

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)

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)

Bodesinsky, P., Federico, P., & Miksch, S. (2013). Visual Analysis of Compliance with Clinical Guidelines. In Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies - i-Know ’13. 13th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW), Graz, Austria. ACM. https://doi.org/10.1145/2494188.2494202 ( reposiTUm)

Lammarsch, T., Aigner, W., Bertone, A., Bögl, M., Gschwandtner, T., Miksch, S., & Rind, A. (2013). Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data. In A. Holzinger, M. Ziefle, & V. Glavinić (Eds.), Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data (pp. 400–419). Springer. https://doi.org/10.1007/978-3-642-39146-0_37 ( reposiTUm)

Wenzina, R., & Kaiser, K. (2013). Identifying Condition-Action Sentences Using a Heuristic-based Information Extraction Method. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Proceedings of the Joint International Workshop: 5th Knowledge Representation for Health Care (KR4HC’13) + 6th Process-Oriented Information Systems in Healthcare (ProHealth’13) (pp. 17–29). http://hdl.handle.net/20.500.12708/54644 ( reposiTUm)

Minard, A.-L., & Kaiser, K. (2013). Supporting Computer-Interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Proceedings of the Joint International Workshop: 5th Knowledge Representation for Health Care (KR4HC’13) + 6th Process-Oriented Information Systems in Healthcare (ProHealth’13) (pp. 30–44). http://hdl.handle.net/20.500.12708/54645 ( 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)

Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2013). Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery. In M. Pohl & H. Schumann (Eds.), Proceedings of the Fourth International EuroVis Workshop on Visual Analytics held in Europe (EuroVA 2013) (pp. 31–35). Eurographics Publications. https://doi.org/10.2312/PE.EuroVAST.EuroVA13.031-035 ( 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)

Lammarsch, T., Rind, A., Aigner, W., & Miksch, S. (2012). Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time. In K. Matkovic & G. Santucci (Eds.), Proceedings of the EuroVis Workshop on Visual Analytics in Vienna, Austria (EuroVA 2012) (pp. 31–35). Eurographics Publications. https://doi.org/10.2312/PE/EuroVAST/EuroVA12/031-035 ( 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)

Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2011). Towards a Concept how the Structure of Time can Support the Visual Analytics Process. In S. Miksch & G. Santucci (Eds.), Proceedings of the Second International Workshop on Visual Analytics held in Europe (EuroVA 2011) (pp. 9–12). Computer Graphics Forum. https://doi.org/10.2312/PE/EuroVAST/EuroVA11/009-012 ( 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)

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)

Kaiser, K., & Seyfang, A. (2011). Supporting Knowledge Modelling by Multi-modal Learning: Defining the Requirements. In D. Riano, A. ten Teije, & S. Miksch (Eds.), Proc. of the Workshop on Knowledge Representation for Healthcare (KR4HC) in conjunction with the Conference on Artificial Intelligence 2011 (p. 11). http://hdl.handle.net/20.500.12708/53797 ( reposiTUm)

Mayr, E., Smuc, M., Risku, H., Aigner, W., Bertone, A., Lammarsch, T., & Miksch, S. (2010). Mapping the Users’ Problem Solving Strategies in the Participatory Design of Visual Analytics Methods. In HCI in Work and Learning, Life and Leisure (pp. 1–13). Springer. https://doi.org/10.1007/978-3-642-16607-5_1 ( reposiTUm)

Bertone, A., Lammarsch, T., Turic, T., Aigner, W., & Miksch, S. (2010). Does Jason Bourne need Visual Analytics to catch the Jackal? In Proceedings of International Symposium on Visual Analytics Science and Technology (EuroVAST 2010) in conjunction with EuroVis 2010 (pp. 61–67). Eurographics Association. http://hdl.handle.net/20.500.12708/54616 ( reposiTUm)

Rind, A., Miksch, S., Aigner, W., Turic, T., & Pohl, M. (2010). VisuExplore: Gaining New Medical Insights from Visual Exploration. In Proceedings of the 1st International Workshop on Interactive Systems in Healthcare (WISH) (pp. 149–152). http://hdl.handle.net/20.500.12708/53349 ( reposiTUm)

Rind, A., Miksch, S., Aigner, W., Turic, T., & Pohl, M. (2010). VisuExplore: Gewinnung neuer medizinischer Erkenntnisse durch visuelle Exploration. In G. Schreier, D. Haydn, & E. Ammenwerth (Eds.), eHealth2010: Health Informatics meets eHealth (pp. 273–278). Tagungsband der eHealth2010. http://hdl.handle.net/20.500.12708/53337 ( reposiTUm)

Kaiser, K., Seyfang, A., & Miksch, S. (2010). Identifying Actions Described in Clinical Practice Guidelines Using Semantic Relations. In A. ten Teije, D. Riano, M. Peleg, & S. Miksch (Eds.), KR4HC 2010 - 2nd International Workshop on Knowledge Representation for Health Care (pp. 99–108). http://hdl.handle.net/20.500.12708/53313 ( reposiTUm)

Pohl, M., Wiltner, S., & Miksch, S. (2010). Exploring Information Visualization - Describing Different Interaction Patterns. In E. Bertini, H. Lam, & A. Perer (Eds.), Proceedings of the BELIV’10 Workshop (pp. 16–23). http://hdl.handle.net/20.500.12708/53350 ( reposiTUm)

Gschwandtner, T., Kaiser, K., & Miksch, S. (2010). Information Requisition for Computer-Supported Medical Care. In H. Kaiser & R. Kirner (Eds.), Proceedings of the Junior Scientist Conference 2010 (pp. 65–66). http://hdl.handle.net/20.500.12708/53135 ( reposiTUm)

Kaiser, K., & Miksch, S. (2010). Supporting the Abstraction of Clinical Practice Guidelines Using Information Extraction. In C. Hopfe, Y. Rezgui, E. Métais, A. Preece, & H. Li (Eds.), Natural Language Processing and Information Systems (pp. 304–311). Springer Verlag. https://doi.org/10.1007/978-3-642-13881-2_32 ( reposiTUm)

Eccher, C., Seyfang, A., Ferro, A., & Miksch, S. (2010). Updating a Protocol-Based Decision-Support System’s Knowledge Base: a Breast Cancer Case Study. In 2nd International Workshop on Knowledge Representation for Health Care (pp. 109–118). ECCAI. http://hdl.handle.net/20.500.12708/53542 ( reposiTUm)

Bertone, A., Lammarsch, T., Turic, T., Aigner, W., Miksch, S., & Gärtner, J. (2010). MuTIny: A Multi-Time Interval Pattern Discovery Approach To Preserve The Temporal Information In Between. In Proceedings of IADIS European Conference on Data Mining 2010 (ECDM2010) (pp. 61–67). IADIS Press. http://hdl.handle.net/20.500.12708/54615 ( reposiTUm)

Seyfang, A., Kaiser, K., & Miksch, S. (2009). Modelling Clinical Guidelines and Protocols for the Prevention of Risks Against Patient Safety. In K.-P. Adlassnig (Ed.), Medical Informatics in a United and Healthy Europe (pp. 633–637). IOS Press. http://hdl.handle.net/20.500.12708/52761 ( reposiTUm)

Lammarsch, T., Aigner, W., Bertone, A., Gärtner, J., Mayr, E., Miksch, S., & Smuc, M. (2009). Hierarchical Temporal Patterns and Interactive Aggregated Views for Pixel-Based Visualizations. In 2009 13th International Conference Information Visualisation. 13th International Conference on Information Visualisation (IV09), 13th International Conference on Information Visualisation (IV09), EU. IEEE Computer Society Press. https://doi.org/10.1109/iv.2009.52 ( reposiTUm)

Gärtner, J., Aigner, W., Bertone, A., Klausner, R., Lammarsch, T., Mayr, E., Miksch, S., Risku, H., & Smuc, M. (2009). Visual Analytics for Workforce Requirements. In 19th International Symposium on Shiftwork and Working Time and Well-being in the 24-h Society (pp. 29–38). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/54613 ( reposiTUm)

Gschwandtner, T., Kaiser, K., & Miksch, S. (2008). MapFace - A Graphical Editor to Support the Semantic Annotation of Medical Text. In H. Kaiser & R. Kirner (Eds.), Proceedings of the Junior Scientist Conference 2008 (pp. 91–92). http://hdl.handle.net/20.500.12708/52313 ( reposiTUm)

Gindl, S., Kaiser, K., & Miksch, S. (2008). Syntactical Negation Detection in Clinical Practice Guidelines. In S. K. Andersen, G. O. Klein, S. Schulz, J. Aarts, & M. C. Mazzoleni (Eds.), eHealth Beyond the Horizon - Get IT There (pp. 187–192). IOS Press. http://hdl.handle.net/20.500.12708/52181 ( reposiTUm)

Martini, P., Kaiser, K., & Miksch, S. (2008). Easing the Formalization of Clinical Guidelines with a User-tailored, Extensible Agile Model Driven Development (AMDD). In S. Puuronen, M. Pechenizkiy, A. Tsymbal, & D.-J. Lee (Eds.), Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems (pp. 120–125). IEEE Computer Society. http://hdl.handle.net/20.500.12708/52196 ( reposiTUm)

Lammarsch, T., Aigner, W., Bertone, A., Gärtner, J., Miksch, S., & Turic, T. (2008). A Comparison of Programming Platforms for Interactive Visualization in Web Browser Based Applications. In E. Banissi, L. Stuart, M. Jern, G. Andrienko, F. T. Marchese, N. Memon, R. Alhajj, T. G. Wyeld, R. A. Burkhard, G. Grinstein, D. Groth, A. Ursyn, C. Maple, A. Faiola, & B. Craft (Eds.), 2008 12th International Conference Information Visualisation. IEEE Computer Society Press. https://doi.org/10.1109/iv.2008.34 ( reposiTUm)

Smuc, M., Mayr, E., Lammarsch, T., Bertone, A., Aigner, W., Risku, H., & Miksch, S. (2008). Visualizations at First Sight: Do Insights Require Training? In A. Holzinger (Ed.), HCI and Usability for Education and Work 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008, Proceedings (pp. 261–280). Springer. https://doi.org/10.1007/978-3-540-89350-9_19 ( reposiTUm)

Kaiser, K., & Miksch, S. (2007). Formalizing “Living Guidelines” using LASSIE: A Multi-step Information Extraction Method. In R. Bellazzi, A. Abu-Hanna, & J. Hunter (Eds.), Artificial Intelligence in Medicine. Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME 2007) (pp. 401–410). Springer Verlag. http://hdl.handle.net/20.500.12708/51810 ( reposiTUm)

Rester, M., Pohl, M., Wiltner, S., Hinum, K., Miksch, S., Popow, C., & Ohmann, S. (2007). Evaluating an InfoVis Technique Using Insight Reports. In 2007 11th International Conference Information Visualization (IV ’07). Information Visualization, 11th International Conference Information Visualization, IV2007, Zürich, Switzerland, Non-EU. IEEE Computer Society. https://doi.org/10.1109/iv.2007.44 ( reposiTUm)

Rester, M., Pohl, M., Wiltner, S., Hinum, K., Miksch, S., Popow, C., & Ohmann, S. (2007). Mixing Evaluation Methods for Assessing the Utility of an Interactive InfoVis Technique. In J. A. Jacko (Ed.), Human-Computer Interaction -- Proc. 12th Intl. HCI Conf. (HCII) (pp. 604–613). Springer. http://hdl.handle.net/20.500.12708/51789 ( reposiTUm)

Kaiser, K., Miksch, S., Martini, P., & Öztürk, A. (2007). A Meta Schema for Evidence Information in Clinical Practice Guidelines as a Basis for Decision-Making. In K. A. Kuhn, J. R. Warren, & T. Y. Leong (Eds.), 12th World Congress on Health (Medical) Informatics (Medinfo’2007) (pp. 925–929). IOS Press. http://hdl.handle.net/20.500.12708/51793 ( reposiTUm)

Yildiz, B., & Miksch, S. (2007). Motivating Ontology-Driven Information Extraction. In Proceedings of the International Conference on Semantic Web and Digital Libraries (ICSD-2007) (p. 11). http://hdl.handle.net/20.500.12708/51794 ( reposiTUm)

Yildiz, B., & Miksch, S. (2007). Ontology-Driven Information Systems: Challenges and Requirements. In Proceedings of the International Conference on Semantic Web and Digital Libraries (ICSD-2007) (p. 11). http://hdl.handle.net/20.500.12708/51795 ( reposiTUm)

Yildiz, B., & Miksch, S. (2007). ontoX - A Method for Ontology-Driven Information Extraction. In O. Gervasi & M. L. Gavrilova (Eds.), Computational Science and Its Applications - ICCSA 2007 (pp. 660–673). Springer-Verlag, LNCS 4707. http://hdl.handle.net/20.500.12708/51898 ( reposiTUm)

Fuchsberger, C., Miksch, S., Forer, L., & Pattaro, C. (2007). Analyzing Populations with Visual and Analytical Methods to Identify Family Clustered Diseases. In K. A. Kuhn, T. Y. Leong, & J. R. Warren (Eds.), 12th World Congress on Health (Medical) Informatics (Medinfo’2007) (p. 2). IOS Press. http://hdl.handle.net/20.500.12708/51859 ( reposiTUm)

Öztürk, A., Kaiser, K., Martini, P., & Miksch, S. (2007). Embedding the Evidence Information in Guideline Representation Languages. In P. Kokol, V. Podgorelec, D. Micetic-Turk, M. Zorman, & M. Verlic (Eds.), Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS’07) (pp. 512–517). IEEE Computer Society. https://doi.org/10.1109/CBMS.2007.44 ( reposiTUm)

Seyfang, A., Martinez-Salvador, B., Serban, R., Wittenberg, J., Miksch, S., Marcos, M., ten Teije, A., & Rosenbrand, K. (2007). Maintaining Formal Models of Living Guidelines Efficiently. In R. Bellazzi, A. Abu-Hanna, & J. Hunter (Eds.), Artificial Intelligence in Medicine (pp. 441–446). Springer. http://hdl.handle.net/20.500.12708/176631 ( reposiTUm)

Eller, M., Miksch, S., & Lettry, J. (2006). Interactive, Task-Oriented Visualizations to Explore Decay Chain Calculation. In International Conference on Information Visualisation (IV 06) (pp. 95–100). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/51383 ( reposiTUm)

Seyfang, A., Miksch, S., Marcos, M., Wittenberg, J., Polo-Conde, C., & Rosenbrand, K. (2006). Bridging the Gap between Informal and Formal Guideline Representations. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), 17th European Conference on Artificial Intelligence (pp. 447–451). IOS Press. http://hdl.handle.net/20.500.12708/51385 ( reposiTUm)

Votruba, P., Seyfang, A., Paesold, M., & Miksch, S. (2006). Improving the Execution of Clinical Guidelines and Temporal Data Abstraction in High-Frequency Domains. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), AI Techniques in Healthcare: Evidence-based Guidelines and Protocols (pp. 112–116). European Coordinating Committee for Artificial Intelligence. http://hdl.handle.net/20.500.12708/51388 ( reposiTUm)

Votruba, P., Seyfang, A., Paesold, M., & Miksch, S. (2006). Environment-Driven Skeletal Plan Execution for the Medical Domain. In G. Brewka, S. Coradeschi, A. Perini, & P. Traverso (Eds.), 17th European Conference on Artificial Intelligence (pp. 847–848). IOS Press. http://hdl.handle.net/20.500.12708/51386 ( reposiTUm)

Schmitt, J., Reif, W., Seyfang, A., & Miksch, S. (2006). Temporal Dimension of Medical Guidelines: The Semantics of Asbru Time Annotations. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), AI Techniques in Healthcare: Evidence-based Guidelines and Protocols (pp. 68–73). European Coordinating Committee for Artificial Intelligence. http://hdl.handle.net/20.500.12708/51387 ( reposiTUm)

Kaiser, K., & Miksch, S. (2006). Supporting the Implementation of Living Guidelines by Information Extraction. In Guidelines on the Danube (p. PA-05). http://hdl.handle.net/20.500.12708/51420 ( reposiTUm)

Rester, M., Pohl, M., Hinum, K., Miksch, S., Popow, C., Ohmann, S., & Banovic, S. (2006). Methods for the Evaluation of an Interactive InfoVis Tool Supporting Exploratory Reasoning Processes. In E. Bertini, C. Plaisant, & G. Santucci (Eds.), Proceedings of BELIV’06 (pp. 32–37). ACM Press. http://hdl.handle.net/20.500.12708/51446 ( reposiTUm)

Rester, M., Pohl, M., Banovic, S., Hinum, K., Miksch, S., Ohmann, S., & Popow, C. (2006). Zum hohen Stellenwert einer Usability-Untersuchung in der Evaluierung einer interaktiven Informationsvisualisierung. In Information nutzbar machen (pp. 143–147). Pabst Science Publishers. http://hdl.handle.net/20.500.12708/51445 ( reposiTUm)

Yildiz, B., Kaiser, K., & Miksch, S. (2005). pdf2table: A Method to Extract Table Information from PDF Files. In Proceedings of the 2nd Indian International Conference on Artificial Intelligence. Indian International Conference on Artificial Intelligence (IICAI), India, Non-EU. http://hdl.handle.net/20.500.12708/51218 ( reposiTUm)

Lanzenberger, M., Miksch, S., & Pohl, M. (2005). Exploring Highly Structured Data - A Comparative Study of Stardinates and Parallel Coordinates. In E. Banissi (Ed.), Procedings of the Ninth International Conference on Information Visualisation (IV’05) (pp. 312–320). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51209 ( reposiTUm)

Rester, M., Pohl, M., Hinum, K., Miksch, S., Ohmann, S., Popow, C., & Banovic, S. (2005). Assessing the Usability of an Interactive Information Visualization Method as the First Step of a Sustainable Evaluation. In Usability Symposium: Empowering Software Quality: How can Usability Engineering reach these goals? (pp. 31–43). Austrian Computer Society (OCG). http://hdl.handle.net/20.500.12708/51241 ( reposiTUm)

Biffl, S., Thurnher, B., Goluch, G., Winkler, D., Aigner, W., & Miksch, S. (2005). An Empirical Investigation on the Visualization of Temporal Uncertainties in Software Engineering Project Planning. In Empirical Software Engineering, 2005 (pp. 437–446). IEEE Society Press. http://hdl.handle.net/20.500.12708/51236 ( reposiTUm)

Moser, M., & Miksch, S. (2005). Improving Clinical Guideline Implementation through Prototypical Design Patterns. In Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine (AIME 2005) (pp. 126–130). Springer. http://hdl.handle.net/20.500.12708/51259 ( reposiTUm)

Aigner, W., Miksch, S., Thurnher, B., & Biffl, S. (2005). PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and their Evaluation. In Proceedings of the 9th International Conference on Information Visualisation (IV05) (pp. 457–463). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/50992 ( reposiTUm)

Hinum, K., Miksch, S., Aigner, W., Ohmann, S., Popow, C., Pohl, M., & Rester, M. (2005). Gravi++: Interactive Information Visualization of Highly Structured Temporal Data. In Workshop IDAMAP 2005 Intelligent Data Analysis in Medicine and Pharmacology (pp. 67–72). http://hdl.handle.net/20.500.12708/51028 ( reposiTUm)

Kaiser, K., Akkaya, C., & Miksch, S. (2005). Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. In S. Miksch, J. Hunter, & E. Keravnou (Eds.), Artificial intelligence in Medicine (pp. 181–190). Springer. http://hdl.handle.net/20.500.12708/51029 ( reposiTUm)

Seyfang, A., Miksch, S., Polo-Conde, C., Wittenberg, J., Marcos, M., & Rosenbrand, K. (2005). MHB - A Many-Headed Bridge between Informal and Formal Guideline Representations. In S. Miksch, J. Hunter, & E. Keravnou (Eds.), Artificial Intelligence in Medicine (pp. 146–150). Springer. http://hdl.handle.net/20.500.12708/51033 ( reposiTUm)

Polo-Conde, C., Marcos, M., Seyfang, A., Wittenberg, J., Miksch, S., & Rosenbrand, K. (2005). Assessment of MHB: an intermediate language for the representation of medical guidelines. In R. Marin, E. Onaindia, A. Bugarín, & J. Santos (Eds.), Proc. of the 10th Conference of the Spanish Association for Artificial Intelligence (CAEPIA-05) (pp. I-19-I–28). University of Corunna. http://hdl.handle.net/20.500.12708/51090 ( reposiTUm)

Seyfang, A., & Miksch, S. (2004). Advanced Temporal Data Abstraction for Guideline Execution. In K. Kaiser, S. Miksch, & S. W. Tu (Eds.), Computer-based Support for Clinical Guidelines and Protocols (pp. 88–102). IOS Press. http://hdl.handle.net/20.500.12708/50969 ( reposiTUm)

Balser, M., Coltell, O., van Croonenborg, J., Duelli, C., van Harmelen, F., Jovell, A., Lucas, P., Marcos, M., Miksch, S., Reif, W., Rosenbrand, K., Seyfang, A., & ten Teije, A. (2004). Protocure: Supporting the Development of Medical Protocols Through Formal Methods. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 81). EuroMISE. http://hdl.handle.net/20.500.12708/50978 ( reposiTUm)

Aigner, W., & Miksch, S. (2004). Communicating the Logic of a Treatment Plan Formulated in Asbru to Domain Experts. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 75). EuroMISE. http://hdl.handle.net/20.500.12708/50962 ( reposiTUm)

Aigner, W., & Miksch, S. (2004). CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data. In Workshop Notes of the Workshop on Intelligent Data Analyis in Medicine and Pharmacology (pp. 55–60). http://hdl.handle.net/20.500.12708/50964 ( reposiTUm)

Kaiser, K., & Miksch, S. (2004). TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 95). EuroMISE. http://hdl.handle.net/20.500.12708/50961 ( reposiTUm)

Seyfang, A., & Miksch, S. (2004). Advanced Temporal Data Abstraction for Guideline Execution. In J. Zvárová, P. Hanzlicek, J. Peleska, P. Precková, V. Svátek, & Z. Valenta (Eds.), Proceedings of the International Joint Meeting EuroMISE 2004 (p. 94). EuroMISE. http://hdl.handle.net/20.500.12708/50968 ( reposiTUm)

Balser, M., Coltell, O., van Croonenborg, J., Duelli, C., van Harmelen, F., Jovell, A., Lucas, P., Marcos, M., Miksch, S., Reif, W., Rosenbrand, K., Seyfang, A., & ten Teije, A. (2004). Protocure: Supporting the Development of Medical Protocols Through Formal Methods. In K. Kaiser, S. Miksch, & S. W. Tu (Eds.), Computer-based Support for Clinical Guidelines and Protocols (pp. 103–107). http://hdl.handle.net/20.500.12708/50976 ( reposiTUm)

Miksch, S., Leite, H., & Chen, M. (2020). Knowledge-Assisted Visualization and Guidance. In M. Chen, H. Hauser, P. Rheingans, & G. Scheuermann (Eds.), Foundations of Data Visualization (pp. 61–85). Springer. http://hdl.handle.net/20.500.12708/30193 ( reposiTUm)

Tominski, C., Aigner, W., Miksch, S., & Schumann, H. (2017). Images of Time: Visual Representation of Time-Oriented Data. In Information Design: Research and Practice (pp. 23–42). Routledge. http://hdl.handle.net/20.500.12708/29672 ( reposiTUm)

Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In Interactive Data Visualization: Foundations, Techniques, and Applications, 2nd edition (pp. 253–284). A K Peters/CRC Press. http://hdl.handle.net/20.500.12708/28671 ( 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)

Smuc, M., Federico, P., Windhager, F., Aigner, W., Zenk, L., & Miksch, S. (2013). How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations. In W. Huang (Ed.), Handbook of Human Centric Visualization (pp. 623–650). Springer. https://doi.org/10.1007/978-1-4614-7485-2_25 ( reposiTUm)

Wenzina, R., & Kaiser, K. (2013). Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Process Support and Knowledge Representation in Health Care. AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Murcia, Spain, June 1, 2013. Revised Selected Papers (pp. 26–38). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_3 ( reposiTUm)

Minard, A.-L., & Kaiser, K. (2013). Supporting Computer-interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions. In D. Riano, R. Lenz, S. Miksch, M. Peleg, M. Reichert, & A. ten Teije (Eds.), Process Support and Knowledge Representation in Health Care. AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Murcia, Spain, June 1, 2013. Revised Selected Papers (pp. 39–52). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_4 ( reposiTUm)

Windhager, F., Smuc, M., Zenk, L., Federico, P., Pfeffer, J., Aigner, W., & Miksch, S. (2012). Visual Knowledge Networks Analytics. In J. Liebowitz (Ed.), Knowledge Management Handbook (pp. 187–206). CRC Press. https://doi.org/10.1201/b12285-12 ( reposiTUm)

Kaiser, K., Seyfang, A., & Miksch, S. (2011). Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines. In D. Riano, A. ten Teije, S. Miksch, & M. Peleg (Eds.), Knowledge Representation for Health-Care (pp. 115–126). Springer Verlag, LNAI 6512. http://hdl.handle.net/20.500.12708/26923 ( 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)

Aigner, W., Kaiser, K., & Miksch, S. (2008). Visualization Methods to Support Guideline-Based Care Management. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), Computer-based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 140–159). IOS Press. https://doi.org/10.3233/978-1-58603-873-1-140 ( reposiTUm)

Seyfang, A., Paesold, M., Votruba, P., & Miksch, S. (2008). Improving the execution of Clinical Guidelines and Temporal Data Abstraction in High-Frequency Domains. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), Computer-based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 263–272). IOS Press. https://doi.org/10.3233/978-1-58603-873-1-263 ( reposiTUm)

de Clercq, P., Kaiser, K., & Hasman, A. (2008). Computer-Interpretable Guideline Formalisms. In A. ten Teije, S. Miksch, & P. Lucas (Eds.), Computer-based Medical Guidelines and Protocols: A Primer and Current Trends (pp. 22–43). IOS Press. https://doi.org/10.3233/978-1-58603-873-1-22 ( reposiTUm)

Kaiser, K., & Miksch, S. (2007). Modeling Treatment Processes Using Information Extraction. In H. Yoshida, A. Jain, A. Ichalkaranje, L. Jain, & N. Ichalkaranje (Eds.), Advanced Computational Intelligence Paradigms in Healthcare 1 (pp. 189–224). Springer-Verlag. http://hdl.handle.net/20.500.12708/25379 ( reposiTUm)

Kaiser, K., & Miksch, S. (2006). Enrichment of clinical practice guidelines by semantics. In A. Blumauer, G. Dösinger, T. Fundneider, & P. Meinl (Eds.), Semantic Technologies Showcase. The Austrian Situation (p. 44). Österreichische Computer Gesellschaft. http://hdl.handle.net/20.500.12708/25395 ( reposiTUm)

Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2023). Visualization of Time-Oriented Data (2.). Springer London. https://doi.org/10.1007/978-1-4471-7527-8 ( reposiTUm)

Gärtner, J., Miksch, L., Miksch, M., & Miksch, S. (2020). Handbuch Fisch & Fußball: Oder warum Fische die besseren Fußballer*innen sind. myMorawa. http://hdl.handle.net/20.500.12708/24773 ( 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)

Riano, D., ten Teije, A., Miksch, S., & Peleg, M. (Eds.). (2010). Knowledge Representation for Health-Care. Springer-Verlag Berlin Heidelberg. http://hdl.handle.net/20.500.12708/23431 ( reposiTUm)

ten Teije, A., Miksch, S., & Lucas, P. (Eds.). (2008). Computer-based Medical Guidelines and Protocols: A Primer and Current Trends. IOS Press. http://hdl.handle.net/20.500.12708/22772 ( 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)

Riano, D., ten Teije, A., & Miksch, S. (Eds.). (2012). Knowledge Representation for Health-Care. Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-642-27697-2 ( 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)

Miksch, S., & Santucci, G. (Eds.). (2011). International Workshop on Visual Analytics (EuroVA 2011). Eurographics Association. http://hdl.handle.net/20.500.12708/23443 ( 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)

ten Teije, A., Miksch, S., & Lucas, P. (Eds.). (2006). Workshop on AI Techniques in Healthcare: Evidence-based Guidelines and Protocols. ECCAI. http://hdl.handle.net/20.500.12708/22331 ( reposiTUm)

Miksch, S., Hunter, J., & Keravnou, E. (Eds.). (2005). Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine (AIME 2005). Springer, LNAI. http://hdl.handle.net/20.500.12708/22299 ( reposiTUm)

Filipov, V., Arleo, A., Bögl, M., & Miksch, S. (2024, October 16). On Network Structural and Temporal Encodings: A Space and Time Odyssey [Conference Presentation]. IEEE VIS 2024, Tampa, Florida, United States of America (the). https://doi.org/10.34726/7079 ( reposiTUm)

Tuscher, M., Filipov, V., Kamencek, T., Rosenberg, R., & Miksch, S. (2024, May 29). Mapping the Avantgarde: Visualizing Modern Artists’ Exhibition Activity [Conference Presentation]. EuroVis 2024, Odense, Denmark. http://hdl.handle.net/20.500.12708/199153 ( reposiTUm)

Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023, October 26). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/190245 ( reposiTUm)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023, October 25). Guided Visual Analytics for Image Selection in Time and Space [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. ( reposiTUm)

Piccolotto, N., Bögl, M., & Miksch, S. (2023, June 14). Visual Parameter Space Exploration in Time and Space [Conference Presentation]. 25th EG Conference on Visualization (EuroVis 2023), Leipzig, Germany. http://hdl.handle.net/20.500.12708/187025 ( reposiTUm)

Filipov, V., Arleo, A., & Miksch, S. (2023, June 14). Are We There Yet? A Roadmap of Network Visualization from Surveys to Task Taxonomies [Conference Presentation]. EuroVis 2023: 25th EG Conference on Visualization, Leipzig, Germany. http://hdl.handle.net/20.500.12708/187156 ( reposiTUm)

Piccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023, October 26). Data Type Agnostic Visual Sensitivity Analysis [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/189927 ( reposiTUm)

Piccolotto, N., Bögl, M., & Miksch, S. (2023, June 12). Multi-Ensemble Visual Analytics via Fuzzy Sets [Conference Presentation]. EuroVis Workshop on Visual Analytics (EuroVA 2023), Leipzig, Germany. http://hdl.handle.net/20.500.12708/187032 ( reposiTUm)

Filipov, V., Kamencek, T., Schetinger, V., Rosenberg, R., & Miksch, S. (2023, October 16). Chronicles of Artist Exhibitions: Exploring Temporal Patterns in Artists’ Co-Exhibition Activity Using Visual Analytics [Presentation]. AustroVis 2023, Wien, Austria. http://hdl.handle.net/20.500.12708/190421 ( reposiTUm)

Kamencek, T., Filipov, V., Schetinger, V., Miksch, S., & Rosenberg, R. (2023, December 16). TimeScapes: Towards a Visual Characterization of Modern Artist’ Exhibition Acitvity [Poster Presentation]. CUDAN23: Cultural Data Analytics, Tallinn, Estonia. http://hdl.handle.net/20.500.12708/193549 ( reposiTUm)

Arleo, A., Tsigkanos, C., Almeida Leite, R., Dustdar, S., Miksch, S., & Sorger, J. (2023). Visual exploration of financial data with incremental domain knowledge [Conference Presentation]. EuroVis 2023: 25th EG Conference on Visualization, Leipzig, Germany. https://doi.org/10.1111/cgf.14723 ( reposiTUm)

Miksch, S. (2022, November 8). Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities [Keynote Presentation]. TIME 2022: 29th International Symposium on Temporal Representation and Reasoning, virtuel - online, Italy. https://doi.org/10.4230/LIPIcs.TIME.2022.2 ( reposiTUm)

Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2022, June 14). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/136164 ( reposiTUm)

Schetinger, V., Eiter, T., Kiesel, R. P. D., & Miksch, S. (2022, November 16). The Combinatorics of HumaneAI [Poster Presentation]. Conference on AI for Humanity and Society, Stockholm, Sweden. ( reposiTUm)

Piccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., & Miksch, S. (2022, June 15). Visual Parameter Selection for Spatial Blind Source Separation [Conference Presentation]. EuroVis 2022, Rome, Italy. ( reposiTUm)

Miksch, S. (2022, October 19). Visual Analytics: Opportunities and Challenges [Conference Presentation]. VIS 2022 Panel: Grand Challenges in Visual Analytic Systems, Oklahoma City, United States of America (the). ( reposiTUm)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2022, June 16). A Typology of Guidance in Mixed-Initiative Visual Analytics Environments [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/148085 ( reposiTUm)

Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2022). Influence Maximization With Visual Analytics [Conference Presentation]. IEEE Visualization & Visual Analytics 2022, Oklahoma City, United States of America (the). http://hdl.handle.net/20.500.12708/189760 ( reposiTUm)

Miksch, S. (2021). Visual Analytics Meets Process Mining: Challenges and Opportunities [Keynote Presentation]. 2021 3rd International Conference on Process Mining (ICPM), Eindhoven, Netherlands (the). https://doi.org/10.1109/ICPM53251.2021.9576854 ( reposiTUm)

Miksch, S. (2021, November 25). Guidance-Enriched Visual Analytics: Challenges and Opportunities [Keynote Presentation]. Center for Data Science (CEDAS), Bergen, Norway. http://hdl.handle.net/20.500.12708/153696 ( reposiTUm)

Miksch, S. (2021, October 24). Visual Analytics Meet Electronic Health Records: How Can We Tackle the Challenges? [Keynote Presentation]. International Workshop on Visual Analytics in Healthcare (VAHC 2021), virtuel - online, United States of America (the). ( reposiTUm)

Schetinger, V., Raminger, K., Filipov, V., Soursos, N., Zapke, S., & Miksch, S. (2020). Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle. 4th Workshop on Visualization for the Digital Humanities (VIS4DH 2020), Vancouver, Canada. http://hdl.handle.net/20.500.12708/86980 ( reposiTUm)

Salisu, S., Mayr, E., Filipov, V., Windhager, F., Leite, R. A., & Miksch, S. (2019). Shapes of Time: Visualizing Set Changes Over Time. SetVA Set Visual Analytics Workshop at IEEE VIS 2019, Vancouver, Canada. http://hdl.handle.net/20.500.12708/86982 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective. 21st EG/VGTC Conference on Visualization (EuroVis 2019), Porto, Portugal. http://hdl.handle.net/20.500.12708/86875 ( reposiTUm)

Bögl, M., Bors, C., Gschwandtner, T., & Miksch, S. (2018). Uncertainty types in segmenting and labeling time series data. Data Science, Statistics & Visualisation, Lissabon, Portugal. http://hdl.handle.net/20.500.12708/86861 ( reposiTUm)

Filipov, V., Ceneda, D., Koller, M., Arleo, A., & Miksch, S. (2018). The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics. VISCOMM 2018, Berlin, Germany. http://hdl.handle.net/20.500.12708/86757 ( reposiTUm)

Bors, C., Bögl, M., Bernard, J., Gschwandtner, T., & Miksch, S. (2018). Quantifying Uncertainty in Time Series Data Processing. VisInPractice Mini-Symposium on Visualizing Uncertainty, Berlin, Germany. http://hdl.handle.net/20.500.12708/86740 ( 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)

Leite, R. A., Gschwandtner, T., Miksch, S., Kriglstein, S., Pohl, M., Gstrein, E., & Kuntner, J. (2017). EVA: Visual Analytics to Identify Fraudulent Events. IEEE VIS Conference, Phoenix, United States of America (the). http://hdl.handle.net/20.500.12708/86534 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2016). Characterizing Guidance in Visual Analytics (p. 120). http://hdl.handle.net/20.500.12708/86330 ( reposiTUm)

Gschwandtner, T., & Miksch, S. (2015). Visual Analytics Meets Process Mining: Challenges and Opportunities. Fifth International Symposium on Data-Driven Process Discovery and Analysis, Wien, Austria. http://hdl.handle.net/20.500.12708/86356 ( reposiTUm)

Federico, P., Amor-Amoros, A., & Miksch, S. (2014). Knowledge-assisted EHR visualization for cohorts. Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), Paris, France. http://hdl.handle.net/20.500.12708/85881 ( 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, GA, USA, Non-EU. http://hdl.handle.net/20.500.12708/85606 ( 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, Non-EU. 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, GA, USA, Non-EU. http://hdl.handle.net/20.500.12708/85611 ( reposiTUm)

Aigner, W., Kainz, C., Ma, R., & Miksch, S. (2012). Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots. EuroVis 2012, Wien, Austria. http://hdl.handle.net/20.500.12708/85349 ( 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)

Aigner, W., Bertone, A., Lammarsch, T., Miksch, S., & Rind, A. (2009). Interactively Exploring Time-Oriented Data. CHI 2009 workshop “Interacting with temporal data” at Conference on Human Factors in Computing Systems (CHI 2009), Boston, USA, Non-EU. http://hdl.handle.net/20.500.12708/85559 ( reposiTUm)

Gschwandtner, T., Kaiser, K., Martini, P., & Miksch, S. (2008). MapFace - An Aid for Medical Experts to Easily Annotate Documents with MetaMap Transfer. Workshop on Human-Computer Interaction for Medicine and Health Care (HCI4MED), Liverpool, UK, EU. http://hdl.handle.net/20.500.12708/84745 ( reposiTUm)

Pohl, M., Rester, M., Miksch, S., Hinum, K., Schmalzl, M., & Stritzelberger, A. (2008). Perception as an Exploratory Process: Analysis of Information Visualization Usage. Workshop on Human-Computer Interaction for Medicine and Health Care (HCI4MED), Liverpool, UK, EU. http://hdl.handle.net/20.500.12708/84677 ( reposiTUm)

Hoisl, B., Aigner, W., & Miksch, S. (2006). Social Rewarding in Wiki Systems - Motivating the Community. Wikiposium 2006, Wien, Austria. http://hdl.handle.net/20.500.12708/84509 ( reposiTUm)

Aigner, W., Hinum, K., & Miksch, S. (2006). InfoVis:Wiki - Eine Informations- und Diskussionsplattform für die Informationsvisualisierungs-Community. Wikiposium 2006, Wien, Austria. http://hdl.handle.net/20.500.12708/84508 ( reposiTUm)

Aschenbrenner, A., Baumgartner, M., Böhm, C., Gstrein, E., Holle, O., Maier, K., & Miksch, S. (2005). Fostering Social Relations in a Distributed Environment - WAFF’s Intralife. 9th European Conference on Computer-Supported Cooperative Work, Paris, France, EU. http://hdl.handle.net/20.500.12708/84489 ( reposiTUm)

Gschwandtner, T., Kaiser, K., Miksch, S., & Seyfang, A. (2010). ReMINE Deliverable 4.8 -- Third Release of the Adverse Risk Management Support System (4.8). http://hdl.handle.net/20.500.12708/36650 ( reposiTUm)

Gschwandtner, T., Kaiser, K., Miksch, S., & Seyfang, A. (2009). ReMINE Internal Deliverable -- Second Release of the Adverse Risk Management Support System. http://hdl.handle.net/20.500.12708/35994 ( reposiTUm)

Skritek, S., Aigner, W., & Miksch, S. (2006). Dynamic XML Query Table Editor (Asgaard-TR-2006-4). http://hdl.handle.net/20.500.12708/33084 ( reposiTUm)

Aigner, W., Miksch, S., Thurnher, B., & Biffl, S. (2005). Improving the Analysis Process of Computerized Protocols and Temporal Data by Integrated Visualization Techniques - Evaluation Aspects. http://hdl.handle.net/20.500.12708/33028 ( reposiTUm)

Kaiser, K., & Miksch, S. (2005). Modeling Computer-Supported Clinical Guidelines and Protocols. A Survey. (Asgaard-TR-2005-2). http://hdl.handle.net/20.500.12708/33030 ( reposiTUm)

Kaiser, K., & Miksch, S. (2005). Information Extraction. A Survey. http://hdl.handle.net/20.500.12708/33029 ( reposiTUm)

Aigner, W., & Miksch, S. (2005). CareVis: Interactive Visualization Methods to Support Protocol-Based Care. http://hdl.handle.net/20.500.12708/33027 ( reposiTUm)

Kaiser, K., Akkaya, C., & Miksch, S. (2005). Gaining Process Information from Clinical Practice Guidelines Using Information Extraction. http://hdl.handle.net/20.500.12708/33031 ( reposiTUm)

Aigner, W., & Miksch, S. (2005). Visualization of Time-Oriented Data: A Comprehensive Survey. http://hdl.handle.net/20.500.12708/33025 ( reposiTUm)

Glos, G., Aigner, W., & Miksch, S. (2005). Design und Implementierung eines Metadaten Editors für medizinische Daten - MetaDataEditor V1.0. http://hdl.handle.net/20.500.12708/33026 ( reposiTUm)

Skritek, S., Aigner, W., & Miksch, S. (2005). Does it make sense using Ajax for a Dynamic XML Table-Editor? (Asgaard-TR-2005-12). http://hdl.handle.net/20.500.12708/33082 ( reposiTUm)

Strutz, K., Aigner, W., Hinum, K., & Miksch, S. (2005). InfoVis:Wiki - Projektbeschreibung (in German) (Asgaard-TR-2005-13). http://hdl.handle.net/20.500.12708/33083 ( reposiTUm)

Aigner, W., Miksch, S., Thurnher, B., & Biffl, S. (2005). PlanningLines Usability Studie - User Study zum Vergleich von PlanningLines und PERT Darstellung (in German). http://hdl.handle.net/20.500.12708/33024 ( reposiTUm)

Votruba, P., Kaiser, K., & Miksch, S. (2005). Tutorial for the Document Exploration and Linking Tool. http://hdl.handle.net/20.500.12708/33044 ( reposiTUm)

Seyfang, A., Miksch, S., Votruba, P., Rosenbrand, K., Wittenberg, J., van Croonenborg, J., Reif, W., Balser, M., Schmitt, J., von der Weide, T., Lucas, P., & Hommersom, A. (2004). MHB - A Many-Headed Bridge between Guideline Formats. http://hdl.handle.net/20.500.12708/33013 ( reposiTUm)

Seyfang, A., Miksch, S., & Votruba, P. (2004). Specification of AsbruLight. http://hdl.handle.net/20.500.12708/33014 ( reposiTUm)

Kaiser, K., & Miksch, S. (2004). Treating Temporal Information in Plan and Process Modeling. http://hdl.handle.net/20.500.12708/32942 ( reposiTUm)

Votruba, P., Miksch, S., & Kosara, R. (2003). Linking Clinical Guidelines with Formal Representations (Technical Report Asgaard-TR-2003-1). http://hdl.handle.net/20.500.12708/32944 ( reposiTUm)

Peleg, M., Miksch, S., & Seyfang, A. (2002). Comparing Computer-Interpretable Guideline Models: A Case-Study Approach (Part 2 of 2). http://hdl.handle.net/20.500.12708/32805 ( reposiTUm)

Peleg, M., Miksch, S., & Seyfang, A. (2002). Comparing Computer-Interpretable Guideline Models: A Case-Study Approach (Part 1 of 2). http://hdl.handle.net/20.500.12708/32804 ( reposiTUm)

Seyfang, A., & Miksch, S. (2002). Asgaard’s Contribution to the Guideline Representation Comparison. http://hdl.handle.net/20.500.12708/32801 ( reposiTUm)

Kosara, R., & Miksch, S. (2002). A User Interface for Executing Asbru Plans. http://hdl.handle.net/20.500.12708/32802 ( reposiTUm)

Seyfang, A., Kosara, R., & Miksch, S. (2002). Asbru’s Reference Manual, Asbru Version 7.3. http://hdl.handle.net/20.500.12708/32803 ( reposiTUm)

Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics. arXiv. https://doi.org/10.34726/5043 ( reposiTUm)

Arleo, A., Tsigkanos, C., Jia, C., Leite, R. A., Murturi, I., Klaffenböck, M., Dustdar, S., Miksch, S., Wimmer, M., & Sorger, J. (2019). Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge. arXiv. https://doi.org/10.48550/arXiv.1908.07479 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Amending the Characterization of Guidance in Visual Analytics. arXiv. https://doi.org/10.48550/arXiv.1710.06615 ( reposiTUm)