Visual Analytics E193-07
Our unit conducts research and provides teaching in Information Visualization and Visual Analytics. We are concerned with computer-tools, methods, and concepts that support humans in coping with complex information spaces.

About
Our unit conducts research and provides teaching in Information Visualization and Visual Analytics. We are concerned with computer-tools, methods, and concepts that support humans in coping with complex information spaces.
We strive to make complex information structures more comprehensible, facilitate new insights, and enable process of information and knowledge discovery. At this, human abilities as well as users’ needs and tasks are central issues to assist in situations where complex decisions need to be made. Data and information are a broad field – we focus particularly on the temporal, spatial and spatial-temporal dimension.
Visualization (Information Visualization & Visual Analytics): On the one hand, a huge amount of highly structured and unstructured data and information is available in working situations and the daily life, which need to be interpreted for further decision making. On the other hand, different kinds of data and information analysis methods have been developed to gain more insights (information and knowledge gains). We investigate interactive visual and automatic methods which support the interactive exploration process in order to gain new insights. At this, we do not primarily aim to design “beautiful pictures”, but to develop visual and automatic representations and methods to explore multidimensional information spaces, which support the shaping of hypotheses facilitated by various forms of user interactions.
Plan Management & Process Engineering: Plans, workflows, and processes are omnipresent. Computer-assisted methods could ease the handling of these. On the one hand, we develop methods to support the design of such plans and actions. On the other hand, we investigate methods to execute, adapt, and maintain these. The starting point of our research is a time-oriented, intention-based plan representation language. However, such languages are very complex and hardly accessible by the user. To overcome that situation, we study visual methods to communicate such plans (for example, metaphor graphic-based visualizations) and structure as well as model such plans in an (semi-)automatic way (for example, information extraction methods).
Bridging the Gap between Theory and Practice: Theoretical methods alone can only partly support the knowledge discovery process. Therefore, we examine the usability and applicability of our methods and apply them in the medical domain. One of our main foci is medical therapy planning:” clinical guidelines and protocols aim to support medical staff in their daily routine. Currently, guidelines and protocols are available in the form of textual documents only. However, if clinical guidelines are embedded within clinical decision support systems and integrated within the workflow of clinicians’ work habits and patient management, they could ease clinicians’ practices. Thus, they have to be presented in a structured format that can be used by clinical decision support systems. Moreover, the life cycle of such guidelines needs to be taken into account to support the concept of “living guidelines”. Other application areas are Digital Humanities, Financial Markets, Business Intelligence, Market Analysis, as well as other disciplines of Natural, Social, and Economic Science.
The research Unit Visual Analytics is part of the Institute of Visual Computing and Human-Centered Technology.
Professors
Scientific Staff
Administrative Staff
Courses
2022W
- Bachelor Thesis / 188.919 / PR
- Information Visualization / 188.308 / UE
- Information Visualization / 188.305 / VO
- Project in Media and Human-Centered Computing 2 Information Visualization, Visual Analytics, and Information Design / 193.066 / PR
- Project in Media and Human-Centered Computing Information Information Visualization, Visual Analytics, and Information Design / 193.065 / PR
- Project in Medical Informatics / 188.947 / PR
- Project in Visual Computing 1 / 193.104 / PR
- Project in Visual Computing 2 / 193.105 / PR
- Propädeutikum für Informatik / 180.771 / VU
- Research seminar for PhD students / 188.081 / SE
- Scientific Research and Writing / 193.052 / SE
- Seminar Media and Human-Centered Computing Information Visualization, Visual Analytics, and Information Design / 193.063 / SE
- Seminar on Medical Informatics / 188.948 / SE
- Seminar: Literature-work for PhD students / 188.082 / SE
2023S
- Bachelor Thesis / 188.919 / PR
- Information Design and Visualization / 188.917 / VU
- Literature-work for PhD students / 193.128 / SE
- Project in Media and Human-Centered Computing 2 Information Visualization, Visual Analytics, and Information Design / 193.066 / PR
- Project in Media and Human-Centered Computing Information Information Visualization, Visual Analytics, and Information Design / 193.065 / PR
- Project in Medical Informatics / 188.947 / PR
- Project in Visual Computing 1 / 193.104 / PR
- Project in Visual Computing 2 / 193.105 / PR
- Research seminar for PhD students / 188.081 / SE
- Scientific Research and Writing / 193.052 / SE
- Seminar for Master Students in Visual Computing / 180.774 / SE
- Seminar in Visualization / 188.906 / SE
- Seminar Media and Human-Centered Computing Information Visualization, Visual Analytics, and Information Design / 193.063 / SE
- Seminar on Medical Informatics / 188.948 / SE
- Seminar: Literature-work for PhD students / 188.082 / SE
Projects
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ArtVis: Dynamic Network Perspectives on Digital Art History
2022 – 2025 / Austrian Science Fund (FWF) / Publications: 144487, 144491, 147724, 162023 -
Guidance-Enriched Visual Analytics for Temporal Data
2020 – 2024 / Vienna Science and Technology Fund (WWTF) / Publications: 141358, 57752, 82202 -
Domain-adaptive Remote sensing Image Analysis with Human-in-the-loop
2020 – 2023 / Austrian Research Promotion Agency (FFG) / Publications: 141358, 144155, 144158, 82202 -
HumanE AI Network
2020 – 2023 / European Commission / Publications: 145633, 149093 -
Knowledge-Assisted Visual Analytics
2018 – 2022 / Austrian Science Fund (FWF) / Publications: 141358, 144158, 144487, 149082, 82202 -
Interactive Music Mapping Vienna: Exploring a City, 1945 up to the present day
2017 – 2020 / Austrian Science Fund (FWF) / Publications: 144840, 61153, 61596, 61804 -
Visual Segmentation and Labeling of Multivariate Time Series
2016 – 2020 / Austrian Science Fund (FWF) / Publications: 153165, 153166, 156592, 59291, 60587, 60757, 61134, 61140, 61605, 91282, 91287, 91514, 91635 -
Towards Integrated Mental Models of Cultural Heritage Data
2016 – 2019 / Austrian Science Fund (FWF) / Publications: 152306, 155063, 59208, 60322, 60682, 61175, 61596, 61597, 61848 -
Detection and Visualization of Unexploded Ordnance Risks
2015 – 2017 / Austrian Research Promotion Agency (FFG) / Publication: 60324 -
KAVA-Time
2013 / Austrian Science Fund (FWF)
Publications
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
2023
- Blockchain Forensics: A Modern Approach to Investigating Cybercrime in the Age of Decentralisation / Salisu, S., Filipov, V., & Barry Pene. (2023). Blockchain Forensics: A Modern Approach to Investigating Cybercrime in the Age of Decentralisation. In Proceedings of the18th International Conference on Cyber Warfare and Security (pp. 338–347). Academic Conferences International Limited. https://doi.org/10.34190/iccws.18.1.947
- On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings / 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 (pp. 271–288). Springer Cham. https://doi.org/10.1007/978-3-031-22203-0_20 / Project: ArtVis
2022
- Event‐based Dynamic Graph Drawing without the Agonizing Pain / 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
- Visual Exploration of Financial Data with Incremental Domain Knowledge / Arleo, A., Tsigkanos, C., Leite, R. A., Dustdar, S., Miksch, S., & Sorger, J. (2022). Visual Exploration of Financial Data with Incremental Domain Knowledge. Computer Graphics Forum. https://doi.org/10.1111/cgf.14723
- Interactive Music Mapping Vienna: Networks In Time and Space / Filipov, V. (2022, November 18). Interactive Music Mapping Vienna: Networks In Time and Space [Conference Presentation]. VIENNA PERSPECTIVES – ART, URBAN SPACE AND SOCIAL IN-/EQUALITY, Vienna, Austria. / Project: ArtVis
- Visual Analytics Meets Temporal Reasoning: Challenges and Opportunities / 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
- TBSSvis: Visual analytics for temporal blind source separation / 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
- Visual Analytics: Opportunities and Challenges / 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).
- Lotse: A Practical Framework for Guidance in Visual Analytics / Sperrle, F., Ceneda, D., & Mennatallah El-Assady. (2022). Lotse: A Practical Framework for Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2022.3209393 / Project: GuidedVA
- Influence Maximization with Visual Analytics / 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
- Visualization for Healthcare in the Covid-19 Era / Arleo, A. (2022, September 20). Visualization for Healthcare in the Covid-19 Era [Presentation]. Bio+Med+Vis Summer School, Brno, Czechia.
- On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings / Filipov, V. (2022, September 14). On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings [Conference Presentation]. Graph Drawing and Network Visualization Symposium, Tokyo, Japan. / Projects: ArtVis, KnoVA
- Visual Analytics for Blind Source Separation in Time and Space / Piccolotto, N. (2022, June 21). Visual Analytics for Blind Source Separation in Time and Space [Poster Presentation]. Austrian Computer Science Day, Klosterneuburg, Austria.
- Visual Parameter Selection for Spatial Blind Source Separation / 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.
- Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / 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. https://doi.org/10.1109/TVCG.2021.3094870 / Projects: DoRIAH, GuidedVA, KnoVA
- Preface / 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
- Visual Parameter Selection for Spatial Blind Source Separation / 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
- VIS 2021 - Preface / 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
- Perspectives of Visualization Onboarding and Guidance in VA / 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
2021
- Guidance-Enriched Visual Analytics: Challenges and Opportunities / Miksch, S. (2021, November 25). Guidance-Enriched Visual Analytics: Challenges and Opportunities [Keynote Presentation]. Center for Data Science (CEDAS), Bergen, Norway.
- Visual Analytics Meet Electronic Health Records: How Can We Tackle the Challenges? / 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).
- Egocentric Network Exploration for Immersive Analytics / Sorger, J., Arleo, A., Kan, P., Knecht, W., & Waldner, M. (2021). Egocentric Network Exploration for Immersive Analytics. In Computer Graphics Forum (pp. 241–252). John Wiley and Sons. https://doi.org/10.1111/cgf.14417
- Exploratory User Study on Graph Temporal Encodings / 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
- Visual Analytics Meets Process Mining: Challenges and Opportunities / 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
- A Theoretical Model for Pattern Discovery in Visual Analytics / 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
- Toward Flexible Visual Analytics Augmented through Smooth Display Transitions / 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
- Gone full circle: A radial approach to visualize event-based networks in digital humanities / 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 / Project: IMMV
- Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics / 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
- VisMiFlow: Visual Analytics to Support Citizen Migration Understanding Over Time and Space / 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
- A Multilevel Approach for Event-Based Dynamic Graph Drawing / 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
2020
- Hermes: Guidance-enriched Visual Analytics for Economic Network Exploration / 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
- LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization / Walch, A., Schwärzler, M., Luksch, C., Eisemann, E., & Gschwandtner, T. (2020). LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization. IEEE Transactions on Visualization and Computer Graphics, 1–1. https://doi.org/10.1109/tvcg.2019.2934658
- Many Views Are Not Enough: Designing for Synoptic Insights in Cultural Collections / 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
- NEVA: Visual Analytics to Identify Fraudulent Networks / 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
- Guide Me in Analysis: A Framework for Guidance Designers / 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
- Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle / 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, Vancouver, Canada, Non-EU. http://hdl.handle.net/20.500.12708/86980
- COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism / 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
- Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques / 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
- VAIM: Visual Analytics for Influence Maximization / Arleo, A., Didimo, W., Liotta, G., Miksch, S., & Montecchiani, F. (2020). VAIM: Visual Analytics for Influence Maximization. In Lecture Notes in Computer Science (pp. 115–123). Springer LNCS. https://doi.org/10.1007/978-3-030-68766-3_9
- Knowledge-Assisted Visualization and Guidance / 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
- Handbuch Fisch & Fußball: Oder warum Fische die besseren Fußballer*innen sind / 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
2019
- CV3: Visual Exploration, Assessment, and Comparison of CVs / 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 / Projects: IMMV, Space-Time Cube
- A Provenance Task Abstraction Framework / Bors, C., Wenskovitch, J., Dowling, M., Attfield, S., Battle, L., Endert, A., Kulyk, O., & Laramee, R. S. (2019). A Provenance Task Abstraction Framework. IEEE Computer Graphics and Applications, 39(6), 46–60. https://doi.org/10.1109/mcg.2019.2945720 / Project: VISSECT
- Capturing and Visualizing Provenance From Data Wrangling / 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 / Project: VISSECT
- You get by with a little help: The effects of variable guidance degrees on performance and mental state / 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
- A review of guidance approaches in visual data analysis: A multifocal perspective / 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
- Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges / 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 / Project: Space-Time Cube
- Shapes of Time: Visualizing Set Changes Over Time / 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, Non-EU. http://hdl.handle.net/20.500.12708/86982
- Microtubule Catastrophe / Mindek, P., Klein, T., Autin, L., & Gschwandner, T. (2019). Microtubule Catastrophe. VCBM 2019, Brno, Czech Republic, EU. http://hdl.handle.net/20.500.12708/86917
- A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective / 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, EU. http://hdl.handle.net/20.500.12708/86875
- Visualizing Biographical Trajectories by Historical Artifacts: A Case Study based on the Photography Collection of Charles W. Cushman / 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 / Project: Space-Time Cube
- Shapes of Time: Visualizing Set Changes Over Time in Cultural Heritage Collections / 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 / Project: Space-Time Cube
- Sabrina: Modeling and Visualization of Financial Data over Time with Incremental Domain Knowledge / 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, Non-EU. IEEE. https://doi.org/10.1109/visual.2019.8933598
- Visualization Onboarding: Learning How to Read and Use Visualizations / Stoiber, C., Grassinger, F., Pohl, M., Stitz, H., Streit, M., & Aigner, W. (2019). Visualization Onboarding: Learning How to Read and Use Visualizations. In VisComm Workshop. OSF Preprint. https://doi.org/10.31219/osf.io/c38ab
- Exiled but not forgotten: Investigating commemoration of musicians in Vienna after 1945 through Visual Analytics / 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 / Project: IMMV
- Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, M., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality (p. 9). IEEE Computer Society Press. http://hdl.handle.net/20.500.12708/57963
- Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation / Sorger, J., Waldner, M., Knecht, W., & Arleo, A. (2019). Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation. In 2nd International Conference on Artificial Intelligence & Virtual Reality. Ieee Aivr 2019, San Diego, California, USA, Non-EU. http://hdl.handle.net/20.500.12708/57887
- How Do Firms Transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability / Tsigkanos, C., Arleo, A., Sorger, J., & Dustdar, S. (2019). How Do Firms Transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability. In 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI). IEEE 20th International Conference on Information Reuse and Integration for Data Science (IRI 2019), Los Angeles, California, USA, Non-EU. IEEE. https://doi.org/10.1109/iri.2019.00017
- Visual-Interactive Preprocessing of Multivariate Time Series Data / Bernard, J., Hutter, M., Reinemuth, H., Pfeifer, H., Bors, C., & Kohlhammer, J. (2019). Visual-Interactive Preprocessing of Multivariate Time Series Data. In A. Ferreira & J. Jorge (Eds.), Eurographics / IEEE VGTC Conference on Visualization 2019 (pp. 401–412). Proceedings of the 21st EG/VGTC Conference on Visualization (EuroVis 2019). http://hdl.handle.net/20.500.12708/57810 / Project: VISSECT
- Quantifying Uncertainty in Multivariate Time Series Pre-Processing / 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 / Project: VISSECT
2018
- Guidance or No Guidance? A Decision Tree Can Help / 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 2018) (pp. 19–23). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181107
- EVA: Visual Analytics to Identify Fraudulent Events / 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
- Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics / Bors, C., Kriglstein, S., Gschwandtner, T., Miksch, S., & Pohl, M. (2018). Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics. Journal of Data and Information Quality, 10(1), 1–26. https://doi.org/10.1145/3190578
- Visual analytics for event detection: Focusing on fraud / 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
- Viewing Visual Analytics as Model Building / 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 / Project: Space-Time Cube
- Uncertainty types in segmenting and labeling time series data / Bögl, M., Bors, C., Gschwandtner, T., & Miksch, S. (2018). Uncertainty types in segmenting and labeling time series data. Data Science, Statistics & Visualisation, Lissabon, EU. http://hdl.handle.net/20.500.12708/86861 / Project: VISSECT
- The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics / 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, Deutschland, EU. http://hdl.handle.net/20.500.12708/86757
- Quantifying Uncertainty in Time Series Data Processing / 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, EU. http://hdl.handle.net/20.500.12708/86740 / Project: VISSECT
- Network Analysis for Financial Fraud Detection / Almeida Leite, R., Gschwandtner, T., Miksch, S., Gstrein, E., & Kuntner, J. (2018). Network Analysis for Financial Fraud Detection. In Proceedings of Eurographics Conference on Visualization (EuroVis 2018) (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181120
- VoD - Understanding Structure, Content, and Quality of a Dataset / Peterschofsky, A., & Gschwandtner, T. (2018). VoD - Understanding Structure, Content, and Quality of a Dataset. In Proceedings of the IEEE VIS Workshop on Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts (VISREG 2018). IEEE VIS Workshop on Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts (VISREG 2018), Berlin, Germany, EU. IEEE Xplore Digital Library. http://hdl.handle.net/20.500.12708/57500
- Guided Visual Exploration of Cyclical Patterns in Time-series / 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, EU. IEEE Digital Library. http://hdl.handle.net/20.500.12708/57468
- Visualizing Uncertainty in Cultural Heritage Collection / Windhager, F., Filipov, V., Salisu, S., & Mayr, E. (2018). Visualizing Uncertainty in Cultural Heritage Collection. In EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3) (p. 5). Eurographics Association. https://doi.org/10.2312/eurorv3.20181142 / Project: Space-Time Cube
- CV3: Visual Exploration, Assessment, and Comparison of CVs / Filipov, V., Federico, P., & Miksch, S. (2018). CV3: Visual Exploration, Assessment, and Comparison of CVs. In EuroVisPosters 2018 (p. 3). Eurographics / VGTC. https://doi.org/10.2312/eurp.20181115 / Project: IMMV
- Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data / Bögl, M., Bors, C., Gschwandtner, T., & Miksch, S. (2018). Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data. In Posters (pp. 45–47). The Eurographics Association. https://doi.org/10.2312/eurp.20181126 / Project: VISSECT
- Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series / 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 EuroVis Workshop on Visual Analytics (EuroVA) 2018 (pp. 49–53). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181112 / Project: VISSECT
- Visually Exploring Data Provenance and Quality of Open Data / Bors, C., Gschwandtner, T., & Miksch, S. (2018). Visually Exploring Data Provenance and Quality of Open Data. In Posters (pp. 9–11). The Eurographics Association. https://doi.org/10.2312/eurp.20181117
- Sketching Temporal Uncertainty - An Exploratory User Study / Schwarzinger, F., Roschal, A., & Gschwandtner, T. (2018). Sketching Temporal Uncertainty - An Exploratory User Study. In J. Johansson, F. Sadlo, & T. Schreck (Eds.), Proceedings of the Eurographics / IEEE VGTC Conference on Visualization (EuroVis 2018). The Eurographics Association. https://doi.org/10.2312/eurovisshort.20181080
- Know Your Enemy: Identifying Quality Problems of Time Series Data / Gschwandtner, T., & Erhart, O. (2018). Know Your Enemy: Identifying Quality Problems of Time Series Data. In 2018 IEEE Pacific Visualization Symposium (PacificVis). IEEE, Austria. IEEE Xplore Digital Library. https://doi.org/10.1109/pacificvis.2018.00034
- Chapter 3. Exploration and Explanation in Data-Driven Storytelling / Thudt, A., Gschwandtner, T., Walny, J., Dykes, J., & Stasko, J. (2018). Chapter 3. Exploration and Explanation in Data-Driven Storytelling. In N. Henry Riche, C. Hurter, N. Diakopoulos, & S. Carpendale (Eds.), Data-Driven Storytelling (pp. 60–85). A K Peters/CRC Press. http://hdl.handle.net/20.500.12708/29731
2017
- Amending the Characterization of Guidance in Visual Analytics / 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
- Characterizing Guidance in Visual Analytics / 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
- Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction / 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 / Project: VISSECT
- A Knowledge-Assisted Visual Malware Analysis System: Design, Validation, and Reflection of KAMAS / Wagner, M., Rind, A., Thür, N., & Aigner, W. (2017). A Knowledge-Assisted Visual Malware Analysis System: Design, Validation, and Reflection of KAMAS. Computers and Security, 67, 1–15. https://doi.org/10.1016/j.cose.2017.02.003
- EVA: Visual Analytics to Identify Fraudulent Events / 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, AZ, USA, Non-EU. http://hdl.handle.net/20.500.12708/86534
- Visual Support for Rastering of Unequally Spaced Time Series / Bors, C., Bögl, M., Gschwandtner, T., & Miksch, S. (2017). Visual Support for Rastering of Unequally Spaced Time Series. Data Science, Statistics & Visualisation, Lissabon, EU. http://hdl.handle.net/20.500.12708/86514 / Project: VISSECT
- Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction / 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, EU. http://hdl.handle.net/20.500.12708/86509 / Project: VISSECT
- The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics / 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
- Visual Analytics of Electronic Health Records with a Focus on Time / Rind, A., Federico, P., Gschwandtner, T., Aigner, W., Doppler, J., & Wagner, M. (2017). Visual Analytics of Electronic Health Records with a Focus on Time. In TELe-Health (pp. 65–77). Springer. https://doi.org/10.1007/978-3-319-28661-7_5
- A Unified Process for Visual-Interactive Labeling / Bernard, J., Zeppelzauer, M., Sedlmair, M., & Aigner, W. (2017). A Unified Process for Visual-Interactive Labeling. In Proceedings of EuroVis Workshop on Visual Analytics (EuroVA). The Eurographics Association, Austria. Eurographics Association. https://doi.org/10.2312/eurova.20171123
- A Synoptic Visualization Framework for the Multi-Perspective Study of Biography and Prosopography Data / Windhager, F., Federico, P., Salisu, S., Schlögl, M., & Mayr, E. (2017). A Synoptic Visualization Framework for the Multi-Perspective Study of Biography and Prosopography Data. In Proceedings of the 2nd IEEE VIS Workshop on Visualization for the Digital Humanities (VIS4DH’17) (p. 5). http://hdl.handle.net/20.500.12708/56999
- Visual support for rastering of unequally spaced time series / 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 / Project: VISSECT
- Visual Analytics for Multitemporal Aerial Image Georeferencing / 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). https://doi.org/10.2312/eurova.20171120
- Visual Analytics Meets Process Mining: Challenges and Opportunities / Gschwandtner, T. (2017). Visual Analytics Meets Process Mining: Challenges and Opportunities. In S. Rinderle-Ma & P. Ceravolo (Eds.), Post Proceeding of the Fifth International Symposium on Data-Driven Process Discovery and Analysis (p. 13). Springer. http://hdl.handle.net/20.500.12708/56611
- Images of Time: Visual Representation of Time-Oriented Data / 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
2016
- Characterizing Guidance in Visual Analytics / 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
- Visual Encodings of Temporal Uncertainty: A Comparative User Study / 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
- The State-of-the-Art of Set Visualization / 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
- A Survey on Visual Approaches for Analyzing Scientific Literature and Patents / 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 / Project: EXPAND
- Exploring Media Transparency With Multiple Views / Rind, A., Pfahler, D., Niederer, C., & Aigner, W. (2016). Exploring Media Transparency With Multiple Views. In Proceedings of the 9th Forum Media Technology 2016 (pp. 65–73). CEUR-WS.org. http://hdl.handle.net/20.500.12708/56612
- Visual Analytics for Fraud Detection: Focusing on Profile Analysis / 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
- Reframing Cultural Heritage Collections in a Visualization Framework of Space-Time Cubes / 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 / Project: Space-Time Cube
- A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections / Windhager, F., Federico, P., Mayr, E., Schreder, G., & Smuc, M. (2016). A Review of Information Visualization Approaches and Interfaces to Digital Cultural Heritage Collections. In Proceedings of the 9th Forum Media Technology (FMT2016) (pp. 74–81). St. Pölten University of Applied Sciences, Institute of Creative\Media/Technologies. http://hdl.handle.net/20.500.12708/56893 / Project: Space-Time Cube
- Guiding the Visualization of Time-oriented Data / 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
- Visually-supported graph traversals for exploratory analysis / 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 / Project: EXPAND
- A Nested Workflow Model for Visual Analytics Design and Validation / 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, MD, USA, Non-EU. ACM. https://doi.org/10.1145/2993901.2993915 / Project: DeVisOR
- Evaluation of Two Interaction Techniques for Visualization of Dynamic Graphs / Federico, P., & Miksch, S. (2016). Evaluation of Two Interaction Techniques for Visualization of Dynamic Graphs. In Lecture Notes in Computer Science (pp. 557–571). Springer. https://doi.org/10.1007/978-3-319-50106-2_43 / Project: EXPAND
- Visualization of Cultural Heritage Data for Casual Users / 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 / Project: Space-Time Cube
- Visual-Interactive Segmentation of Multivariate Time Series / 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 (p. 5). The Eurographics Association. https://doi.org/10.2312/eurova.20161121 / Project: VISSECT
2015
- Exploration and Assessment of Event Data / 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
- Gnaeus: utilizing clinical guidelines for a knowledge-assisted visualisation of EHR cohorts / 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 / Project: MobiGuide
- Integrating Predictions in Time Series Model Selection / 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 / Project: HypoVis
- Integrating Predictions in Time Series Model Selection / Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2015). Integrating Predictions in Time Series Model Selection. The Sixth International EuroVis Workshop on Visual Analytics (EuroVA), Cagliari, Italy, EU. https://doi.org/10.2312/eurova.20151107 / Project: HypoVis
- Vials: Visualizing Alternative Splicing of Genes / 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
- Task Cube: A Three-Dimensional Conceptual Space of User Tasks in Visualization Design and Evaluation / 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 / Project: HypoVis
- Visual Analytics Meets Process Mining: Challenges and Opportunities / 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
- A Survey of Visualization Systems for Malware Analysis / Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) State of The Art Reports (pp. 105–125). EuroGraphics. https://doi.org/10.2312/eurovisstar.20151114
- Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series / 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
- Visual Analytics for Fraud Detection and Monitoring / 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
- Supporting Activity Recognition by Visual Analytics / 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
- QualityFlow: Provenance Generation from Data Quality / 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
- Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model / 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
- A Concept for the Exploratory Visualization of Patent Network Dynamics / 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, EU. https://doi.org/10.5220/0005360002680273 / Project: EXPAND
- Visual Exploration and Analysis of Uncertain Time-oriented Data / 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
- Visualization Techniques for Time-Oriented Data / 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
2014
- A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data / Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. Computers and Graphics, 38, 286–290. https://doi.org/10.1016/j.cag.2013.11.002 / Projects: HypoVis, VIENA
- Visual Methods for Analyzing Probabilistic Classification Data / 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
- Mind the Time: Unleashing Temporal Aspects in Pattern Discovery / Lammarsch, T., Aigner, W., Miksch, S., Bertone, A., & 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 / Project: HypoVis
- Evaluating the Dot-Based Contingency Wheel: Results from a Usability and Utility Study / 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
- Knowledge-assisted EHR visualization for cohorts / Federico, P., Amor-Amoros, A., & Miksch, S. (2014). Knowledge-assisted EHR visualization for cohorts. Workshop on Visualizing Electronic Health Record Data (EHRVis 2014), Paris, EU. http://hdl.handle.net/20.500.12708/85881 / Project: MobiGuide
- Knowledge Representation for Health Care / 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 / Project: MobiGuide
- Showing Important Facts to a Critical Audience by Means Beyond Desktop Computing / 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 / Project: HypoVis
- QualityTrails: Data Quality Provenance as a Basis for Sensemaking / 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
- User tasks for evaluation / 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
- Experiences and Challenges with Evaluation Methods in Practice: A Case Study / 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
- TimeCleanser / 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
- Analyzing Parameter Influence on Time-Series Segmentation and Labeling / 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
- TimeGraph: a data management framework for Visual Analytics of large multivariate time-oriented networks / 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 / Project: EXPAND
- Towards a Visualization of Multi-faceted Search Results / 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
- Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions / 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
- Visual Process Mining: Event Data Exploration and Analysis / 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
- Visualizing Sets and Set-typed Data: State-of-the-Art and Future Challenges / 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
- A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data / 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
- Qualizon graphs / 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 / Project: MobiGuide
- Temporal Multivariate Networks / 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 / Project: EXPAND
2013
- TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data / 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 / Project: HypoVis
- Radial Sets: Interactive Visual Analysis of Large Overlapping Sets / 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
- EvalBench: A Software Library for Visualization Evaluation / 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 / Projects: EXPAND, HypoVis, MobiGuide
- Interactive Information Visualization to Explore and Query Electronic Health Records / 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 / Project: HypoVis
- On Visualizing Knowledge Flows at a University Department / Windhager, F., Smuc, M., Zenk, L., Federico, P., Pfeffer, J., & Aigner, W. (2013). On Visualizing Knowledge Flows at a University Department. Procedia - Social and Behavioral Sciences, 100, 127–143. https://doi.org/10.1016/j.sbspro.2013.10.704 / Project: VIENA
- Visual Analytics for Model Selection in Time Series Analysis / 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 / Project: HypoVis
- State-of-the-art methods for visualizing set-typed data / Alsallakh, B. (2013). State-of-the-art methods for visualizing set-typed data. Seminar of the Computational Intelligence Group, University of Kent, Canterbury, EU. http://hdl.handle.net/20.500.12708/85660
- Radial Sets: Interactive Visual Analysis of Large Overlapping Sets / 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
- Visual Analytics for Model Selection in Time Series Analysis / 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 / Project: HypoVis
- TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data / 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 / Project: HypoVis
- Hobbit - The Mutual Care Robot / Fischinger, D., Einramhof, P., Wohlkinger, W., Papoutsakis, K., Mayer, P., Panek, P., Koertner, T., Hoffmann, S., Argyros, A., Vincze, M., Gisinger, C., & Weiss, A. (2013). Hobbit - The Mutual Care Robot. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013) (p. 6). http://hdl.handle.net/20.500.12708/73759
- Visual Analysis of Compliance with Clinical Guidelines / 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 / Project: MobiGuide
- Current Work Practice and Users' Perspectives on Visualization and Interactivity in Business Intelligence / Aigner, W. (2013). Current Work Practice and Users’ Perspectives on Visualization and Interactivity in Business Intelligence. In 2013 17th International Conference on Information Visualisation. IEEE Computer Society Press. https://doi.org/10.1109/iv.2013.38
- Supporting Computer-Interpretable Guidelines' Modeling by Automatically Classifying Clinical Actions / 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 / Projects: Brigid, MobiGuide
- Identifying Condition-Action Sentences Using a Heuristic-based Information Extraction Method / 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 / Project: Brigid
- Mind the Time: Unleashing the Temporal Aspects in Pattern Discovery / 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 / Project: HypoVis
- Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data / 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
- Visualizing Complex Process Hierarchies During the Modeling Process / 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 / Project: Brigid
- Supporting Shared Decision Making within the MobiGuide Project / 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 / Project: MobiGuide
- Process Support and Knowledge Representation in Health Care / 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 / Project: MobiGuide
- Identifying Condition-Action Sentences Using a Heuristic-Based Information Extraction Method / 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.), Lecture Notes in Computer Science (pp. 26–38). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_3 / Project: Brigid
- Supporting Computer-interpretable Guidelines’ Modeling by Automatically Classifying Clinical Actions / 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.), Lecture Notes in Computer Science (pp. 39–52). Springer Verlag, LNAI 8268. https://doi.org/10.1007/978-3-319-03916-9_4 / Projects: Brigid, MobiGuide
- How Do You Connect Moving Dots? Insights from User Studies on Dynamic Network Visualizations / 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
- Process Support and Knowledge Representation in Health Care / 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 / Project: MobiGuide
2012
- Static and Dynamic Visual Mappings to Explore Bivariate Data Across Time / 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 / Project: HypoVis
- Reinventing the Contingency Wheel: Scalable Visual Analytics of Large Categorical Data / 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
- Preface : Europgraphics Conference on Visualization (EuroVis 2012) / 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
- Analysing Interactivity in Information Visualisation / 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
- Introduction to the Vast 2010 Special Issue-Special Issue of best papers of Visual Aanlytics Science and Technology (VAST) 2010 / Fisher, B. D., & Miksch, S. (2012). Introduction to the Vast 2010 Special Issue-Special Issue of best papers of Visual Aanlytics Science and Technology (VAST) 2010. Information Visualization, 11(3), 171–187. https://doi.org/10.1177/1473871611413565
- Guest Editors' Introduction: Special Section on the IEEE Conference on Visual Analytics Science and Technology (VAST) / 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
- Comparative Evaluation of an Interactive Time-Series Visualization that Combines Quantitative Data with Qualitative Abstractions / 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
- Automatic Control of the Inspired Oxygen Fraction in Preterm Infants. Preliminary Results of a Multicenter Randomized Cross-Over Trial / Hallenberger, A., Urschitz, M., Müller-Hansen, I., Miksch, S., Seyfang, A., Horn, W., & Poets, C. (2012). 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
- Knowledge Representation for Health-Care / 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 / Project: MobiGuide
- Visual Analytics of Large Multivariate Matrix Data / 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
- Visual Analytics of Large Tabular Data / Alsallakh, B. (2012). Visual Analytics of Large Tabular Data. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85353
- CareCruiser - Interactive Exploration of Effects of Therapeutic Actions on a Patient's Condition / 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
- Interactive Visual Analysis of Dynamic Networks / Federico, P. (2012). Interactive Visual Analysis of Dynamic Networks. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85351 / Project: VIENA
- TimeRider - Exploring Bivariate Data across Time with Static and Dynamic Scatter Plots / 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 / Project: HypoVis
- HypoVis - Modeling Hypotheses with Visual Analytics Methods to Analyze the Past and Forecast the Future / Lammarsch, T. (2012). HypoVis - Modeling Hypotheses with Visual Analytics Methods to Analyze the Past and Forecast the Future. EuroVis 2012 LabVisit, Wien, Austria. http://hdl.handle.net/20.500.12708/85355
- Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots / 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
- Challenges of Time-oriented Data in Visual Analytics for Healthcare / 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 / Project: MobiGuide
- A Taxonomy of Dirty Time-Oriented Data / Gschwandtner, T., Gärtner, J., Aigner, W., & Miksch, S. (2012). A Taxonomy of Dirty Time-Oriented Data. In Lecture Notes in Computer Science (pp. 58–72). Lecture Notes in Computer Science (LNCS) / Springer Berlin / Heidelberg. https://doi.org/10.1007/978-3-642-32498-7_5
- ViENA: Visual Enterprise Network Analytics / 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 / Project: VIENA
- Visual Analysis of Dynamic Networks Using Change Centrality / 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 / Project: VIENA
- Developing an Extended Task Framework for Exploratory Data Analysis Along the Structure of Time / 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 / Project: HypoVis
- Visual Tracing for the Eclipse Java Debugger / 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
- Visualizing Arrays in the Eclipse Java IDE / 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
- Vertigo zoom / 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 / Project: VIENA
- Visual Knowledge Networks Analytics / 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 / Project: VIENA
2011
- Bertin was Right: An Empirical Evaluation of Indexing to Compare Multivariate Time-Series Data Using Line Plots / 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
- Information requisition is the core of guideline-based medical care: which information is needed for whom? / 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, 713–721. http://hdl.handle.net/20.500.12708/161736
- Visual Enterprise Network Analytics - Visualizing Organizational Change / Windhager, F., Zenk, L., & Federico, P. (2011). Visual Enterprise Network Analytics - Visualizing Organizational Change. Procedia - Social and Behavioral Sciences, 22, 59–68. https://doi.org/10.1016/j.sbspro.2011.07.056 / Project: VIENA
- Patient Development at a Glance: An Evaluation of a Medical Data Visualization / 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
- Visual analytics of dynamic social networks / 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 / Project: VIENA
- Visual Analytics of Dynamic Networks - A Case Study / 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 / Project: VIENA
- Towards a Concept how the Structure of Time can Support the Visual Analytics Process / Lammarsch, T. (2011). Towards a Concept how the Structure of Time can Support the Visual Analytics Process. Seminar at the University of Rostock, Rostock, Germany, EU. http://hdl.handle.net/20.500.12708/85555
- 2011 IEEE Conference on Visual Analytics Science and Technology (VAST) / 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 / Projects: HypoVis, VIENA
- Towards a Concept how the Structure of Time can Support the Visual Analytics Process / 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 / Project: HypoVis
- Visually Exploring Multivariate Trends in Patient Cohorts Using Animated Scatter Plots / 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
- Supporting Knowledge Modelling by Multi-modal Learning: Defining the Requirements / 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 / Project: Brigid
- Visual Exploration of Time-Oriented Patient Data for Chronic Diseases: Design Study and Evaluation / 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.), Lecture Notes in Computer Science (pp. 301–320). Springer. https://doi.org/10.1007/978-3-642-25364-5_22
- A visual analytics approach to dynamic social networks / 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 / Project: VIENA
- Design and Evaluation of an Interactive Visualization of Therapy Plans and Patient Data / 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
- A-plan / 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
- Contingency Wheel: Visual Analysis of Large Contingency Tables / 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
- Understanding the Role and Value of Interaction: First Steps / 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
- CareCruiser: Exploring and visualizing plans, events, and effects interactively / 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
- International Workshop on Visual Analytics (EuroVA 2011) / Miksch, S., & Santucci, G. (Eds.). (2011). International Workshop on Visual Analytics (EuroVA 2011). Eurographics Association. http://hdl.handle.net/20.500.12708/23443
- Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines / 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 / Projects: Brigid, REMINE
- Visualization of Time-Oriented Data / Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2011). Visualization of Time-Oriented Data. In Human-Computer Interaction Series. Springer. https://doi.org/10.1007/978-0-85729-079-3
2010
- Easing Semantically Enriched Information Retrieval - An Interactive Semi-Automatic Annotation System for Medical Documents / 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 / Project: REMINE
- VisuExplore: Gaining New Medical Insights from Visual Exploration / 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
- VisuExplore: Gewinnung neuer medizinischer Erkenntnisse durch visuelle Exploration. / 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
- Updating a Protocol-Based Decision-Support System's Knowledge Base: a Breast Cancer Case Study / 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
- Exploring Information Visualization - Describing Different Interaction Patterns / 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
- Identifying Actions Described in Clinical Practice Guidelines Using Semantic Relations / 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 / Projects: Brigid, REMINE
- Supporting the Abstraction of Clinical Practice Guidelines Using Information Extraction / 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 / Project: EviX
- Information Requisition for Computer-Supported Medical Care / 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
- ReMINE Deliverable 4.8 -- Third Release of the Adverse Risk Management Support System / 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
- IEEE Conference on Visual Analytics Science and Technology 2010 (VAST 2010) / 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
- From Visualization to Visually Enabled Reasoning / 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
- Knowledge Representation for Health-Care / 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
2009
- Versioning computer-interpretable guidelines: Semi-automatic modeling of 'Living Guidelines' using an information extraction method / 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 / Project: EviX
- Interactive Visualization to Optimize Treatment Choices for Individual Patients / Gschwandtner, T. (2009). Interactive Visualization to Optimize Treatment Choices for Individual Patients. IEEE VisWeek 2009 Doctoral Colloquium, Atlantic City, NJ, USA, Non-EU. http://hdl.handle.net/20.500.12708/84943
- Modelling Clinical Guidelines and Protocols for the Prevention of Risks Against Patient Safety / 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 / Projects: EviX, REMINE
- ReMINE Internal Deliverable -- Second Release of the Adverse Risk Management Support System / 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
- ReMINE Deliverable 4.7 -- First Release of the Adverse Risk Management Support System / Gschwandtner, T., Kaiser, K., & Seyfang, A. (2009). ReMINE Deliverable 4.7 -- First Release of the Adverse Risk Management Support System (D 4.7). http://hdl.handle.net/20.500.12708/35990
2008
- Visualization Methods to Support Guideline-Based Care Management / 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 / Project: EviX
- Computer-Interpretable Guideline Formalisms / 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 / Project: EviX
- Improving the execution of Clinical Guidelines and Temporal Data Abstraction in High-Frequency Domains / 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 / Project: REMINE
- MapFace - An Aid for Medical Experts to Easily Annotate Documents with MetaMap Transfer / 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 / Projects: EviX, REMINE
- Visualizations at First Sight: Do Insights Require Training? / 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.), Lecture Notes in Computer Science (pp. 261–280). Springer. https://doi.org/10.1007/978-3-540-89350-9_19
- MapFace - A Graphical Editor to Support the Semantic Annotation of Medical Text / 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
- Easing the Formalization of Clinical Guidelines with a User-tailored, Extensible Agile Model Driven Development (AMDD) / 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 / Project: EviX
- MapFace - An Editor for MetaMap Transfer (MMTx) / Kaiser, K., Gschwandtner, T., & Martini, P. (2008). MapFace - An Editor for MetaMap Transfer (MMTx). 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. 150–152). IEEE Computer Society. http://hdl.handle.net/20.500.12708/52195 / Project: EviX
- Syntactical Negation Detection in Clinical Practice Guidelines / 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 / Project: EviX
- Computer-based Medical Guidelines and Protocols: A Primer and Current Trends / 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
2007
- Free and Open Source Enabling Technologies for Patient-Centric, Guideline-Based Clinical Decision Support: A Survey / Leong, T. Y., Kaiser, K., & Miksch, S. (2007). Free and Open Source Enabling Technologies for Patient-Centric, Guideline-Based Clinical Decision Support: A Survey. Methods of Information in Medicine, 46(1), 74–86. http://hdl.handle.net/20.500.12708/169632 / Project: EviX
- How can Information Extraction ease formalizing treatment processes in clinical practice guidelines? A method and its evaluation / 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 / Project: EviX
- ontoX - A Method for Ontology-Driven Information Extraction / 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
- Analyzing Populations with Visual and Analytical Methods to Identify Family Clustered Diseases / 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
- Formalizing 'Living Guidelines' using LASSIE: A Multi-step Information Extraction Method / 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 / Project: EviX
- Embedding the Evidence Information in Guideline Representation Languages / 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.), Computer-Based Medical Systems (pp. 512–517). IEEE Computer Society. http://hdl.handle.net/20.500.12708/51809 / Project: EviX
- Ontology-Driven Information Systems: Challenges and Requirements / 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 / Project: EviX
- Motivating Ontology-Driven Information Extraction / 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 / Project: EviX
- A Meta Schema for Evidence Information in Clinical Practice Guidelines as a Basis for Decision-Making / 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 / Project: EviX
- Modeling Treatment Processes Using Information Extraction / 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 / Project: EviX
2006
- CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data / 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
- Improving medical protocols by formal methods / 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
- Methods for the Evaluation of an Interactive InfoVis Tool Supporting Exploratory Reasoning Processes / 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 / Project: IN2VIS (mit 188)
- Zum hohen Stellenwert einer Usability-Untersuchung in der Evaluierung einer interaktiven Informationsvisualisierung / 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
- Supporting the Implementation of Living Guidelines by Information Extraction / 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 / Project: EviX
- Interactive, Task-Oriented Visualizations to Explore Decay Chain Calculation / 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
- Improving the Execution of Clinical Guidelines and Temporal Data Abstraction in High-Frequency Domains / 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
- Temporal Dimension of Medical Guidelines: The Semantics of Asbru Time Annotations / 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
- Environment-Driven Skeletal Plan Execution for the Medical Domain / 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
- Bridging the Gap between Informal and Formal Guideline Representations / 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
- Negation Detection in Automated Medical Applications / Gindl, S. (2006). Negation Detection in Automated Medical Applications. http://hdl.handle.net/20.500.12708/33088
- Dynamic XML Query Table Editor / Skritek, S., Aigner, W., & Miksch, S. (2006). Dynamic XML Query Table Editor (Asgaard-TR-2006-4). http://hdl.handle.net/20.500.12708/33084
- Workshop on AI Techniques in Healthcare: Evidence-based Guidelines and Protocols / 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
2005
- CMV 2005 and IV05 / Aigner, W. (2005). CMV 2005 and IV05. Journal Der Österreichischen Gesellschaft Für Artificial Intelligence, 24(3), 7–11. http://hdl.handle.net/20.500.12708/173342
- Interactive Visualization of Time-Oriented Treatment Plans and Patient Data - Thesis Summary / Aigner, W. (2005). Interactive Visualization of Time-Oriented Treatment Plans and Patient Data - Thesis Summary. Journal Der Österreichischen Gesellschaft Für Artificial Intelligence, 24(1), 29–32. http://hdl.handle.net/20.500.12708/173326
- Gravi++: Interactive Information Visualization to Explore Highly Structured Temporal Data / 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 / Project: IN2VIS (mit 188)
- Fostering Social Relations in a Distributed Environment - WAFF's Intralife / 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
- Assessing the Usability of an Interactive Information Visualization Method as the First Step of a Sustainable Evaluation / 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 / Project: IN2VIS (mit 188)
- An Empirical Investigation on the Visualization of Temporal Uncertainties in Software Engineering Project Planning / 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
- pdf2table: A Method to Extract Table Information from PDF Files / 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
- Exploring Highly Structured Data - A Comparative Study of Stardinates and Parallel Coordinates / 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
- Gravi++: Interactive Information Visualization of Highly Structured Temporal Data / 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 / Project: IN2VIS (mit 188)
- PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and their Evaluation / 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
- Gaining Process Information from Clinical Practice Guidelines Using Information Extraction / 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
- Improving Clinical Guideline Implementation through Prototypical Design Patterns / 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
- Assessment of MHB: an intermediate language for the representation of medical guidelines / 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
- MHB - A Many-Headed Bridge between Informal and Formal Guideline Representations / 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
- Gaining Process Information from Clinical Practice Guidelines Using Information Extraction / 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
- 'Freie und quelloffene Software + GIS = Naives GIS? / Achatschitz, C., Twaroch, F., & Aigner, W. (2005). ’Freie und quelloffene Software + GIS = Naives GIS? In J. Strobl, T. Blaschke, & G. Griesebner (Eds.), Angewandte Geoinformatik 2005 (pp. 1–10). Wichmann Verlag. http://hdl.handle.net/20.500.12708/41879
- InfoVis:Wiki - Projektbeschreibung (in German) / 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
- Does it make sense using Ajax for a Dynamic XML Table-Editor? / 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
- Tutorial for the Document Exploration and Linking Tool / Votruba, P., Kaiser, K., & Miksch, S. (2005). Tutorial for the Document Exploration and Linking Tool. http://hdl.handle.net/20.500.12708/33044
- Modeling Computer-Supported Clinical Guidelines and Protocols. A Survey. / Kaiser, K., & Miksch, S. (2005). Modeling Computer-Supported Clinical Guidelines and Protocols. A Survey. http://hdl.handle.net/20.500.12708/33030
- Information Extraction. A Survey. / Kaiser, K., & Miksch, S. (2005). Information Extraction. A Survey. http://hdl.handle.net/20.500.12708/33029
- Improving the Analysis Process of Computerized Protocols and Temporal Data by Integrated Visualization Techniques - Evaluation Aspects / 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
- CareVis: Interactive Visualization Methods to Support Protocol-Based Care / Aigner, W., & Miksch, S. (2005). CareVis: Interactive Visualization Methods to Support Protocol-Based Care. http://hdl.handle.net/20.500.12708/33027
- Design und Implementierung eines Metadaten Editors für medizinische Daten - MetaDataEditor V1.0 / 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
- PlanningLines Usability Studie - User Study zum Vergleich von PlanningLines und PERT Darstellung (in German) / 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
- Visualization of Time-Oriented Data: A Comprehensive Survey / Aigner, W., & Miksch, S. (2005). Visualization of Time-Oriented Data: A Comprehensive Survey. http://hdl.handle.net/20.500.12708/33025
- Artificial Intelligence in Medicine: 10th Conference on Artificial Intelligence in Medicine (AIME 2005) / 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
2004
- TimeWrap - A Method for Automatic Transformation of Structured Guideline Components into Formal Process-Representations / 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
- CareVis: Integrated Visualization of Computerized Protocols and Temporal Patient Data / 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
- Protocure: Supporting the Development of Medical Protocols Through Formal Methods / 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
- Protocure: Supporting the Development of Medical Protocols Through Formal Methods / 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
- Advanced Temporal Data Abstraction for Guideline Execution / 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
- Advanced Temporal Data Abstraction for Guideline Execution / 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
- Communicating the Logic of a Treatment Plan Formulated in Asbru to Domain Experts / 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
- Specification of AsbruLight / Seyfang, A., Miksch, S., & Votruba, P. (2004). Specification of AsbruLight. http://hdl.handle.net/20.500.12708/33014
- MHB - A Many-Headed Bridge between Guideline Formats / 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
- Treating Temporal Information in Plan and Process Modeling / Kaiser, K., & Miksch, S. (2004). Treating Temporal Information in Plan and Process Modeling. http://hdl.handle.net/20.500.12708/32942
2003
- Linking Clinical Guidelines with Formal Representations (Technical Report Asgaard-TR-2003-1) / 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
2002
- Comparing Computer-Interpretable Guideline Models: A Case-Study Approach (Part 2 of 2) / 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
- Comparing Computer-Interpretable Guideline Models: A Case-Study Approach (Part 1 of 2) / 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
- Asbru's Reference Manual, Asbru Version 7.3 / Seyfang, A., Kosara, R., & Miksch, S. (2002). Asbru’s Reference Manual, Asbru Version 7.3. http://hdl.handle.net/20.500.12708/32803
- A User Interface for Executing Asbru Plans / Kosara, R., & Miksch, S. (2002). A User Interface for Executing Asbru Plans. http://hdl.handle.net/20.500.12708/32802
- Asgaard's Contribution to the Guideline Representation Comparison / Seyfang, A., & Miksch, S. (2002). Asgaard’s Contribution to the Guideline Representation Comparison. http://hdl.handle.net/20.500.12708/32801
2001
- Guideline Overview Tool (GOT) / Aigner, W. (2001). Guideline Overview Tool (GOT). http://hdl.handle.net/20.500.12708/32913
Theses
Note: Due to the rollout of TU Wien’s new publication database, the list below may be slightly outdated. Once the migration is complete, everything will be up to date again.
- Utilizing Visual Analytics for Network Exploration in the Domain of Art History Research / Nedas, A. (2023). Utilizing Visual Analytics for Network Exploration in the Domain of Art History Research [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2023.99642
- An Interactive Visualization Approach to Tackle Design Constraints in a Rule-Based Recommendation System / Pointner, B. (2022). An Interactive Visualization Approach to Tackle Design Constraints in a Rule-Based Recommendation System [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2022.87063
- Events analysis in visual analytics / Almeida Leite, R. (2021). Events analysis in visual analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.93462
- Knowledge-assisted visual analytics: data exploration and insight generation of health care data / Müllner, L. (2021). Knowledge-assisted visual analytics: data exploration and insight generation of health care data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.80701
- Utilizing visual methods to generate synthetic time-oriented data / Weiser, S. (2021). Utilizing visual methods to generate synthetic time-oriented data [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.22886
- Identifying GitHub trends using temporal analysis / Anderl, T. (2021). Identifying GitHub trends using temporal analysis [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2021.93182
- Visual analysis of periodic time series data : supporting model selection, prediction, imputation, and outlier detection using visual analytics / Bögl, M. (2020). Visual analysis of periodic time series data : supporting model selection, prediction, imputation, and outlier detection using visual analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.86301
- Interactive web-based visualization of large dynamic graphs / Reisacher, M. (2020). Interactive web-based visualization of large dynamic graphs [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.73704
- Exploring networks over time and space utilizing visual analytics / Scheidl, A. (2020). Exploring networks over time and space utilizing visual analytics [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.72863
- Interweaving physical artifacts with data visualization on digital media in museums / Blumenstein, K. (2020). Interweaving physical artifacts with data visualization on digital media in museums [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.26384
- Guidance-enriched visual analytics / Ceneda, D. (2020). Guidance-enriched visual analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.84743
- Retrieval of multimodal media data / Zeppelzauer, M. (2019). Retrieval of multimodal media data [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/158883
- Visual assistance for importing time-oriented data tables / Serdar, B. (2019). Visual assistance for importing time-oriented data tables [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.60163
- Facilitating data quality assessment utilizing visual analytics: tackling time, metrics, uncertainty, and provenance / Bors, C. (2019). Facilitating data quality assessment utilizing visual analytics: tackling time, metrics, uncertainty, and provenance [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2019.76147
- Intuitive visualization of temporal uncertainty / Schwarzinger, F. (2018). Intuitive visualization of temporal uncertainty [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.50968
- Exploring cultural heritage with a set-based space-time cube / Landauer, B. (2018). Exploring cultural heritage with a set-based space-time cube [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.46741
- Casual information visualization on mobile devices considering the museum context / Schnitzhofer, D. (2018). Casual information visualization on mobile devices considering the museum context [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.47781
- Sports acitivity suggestions : a visual analytics approach / Cismasiu, A. (2018). Sports acitivity suggestions : a visual analytics approach [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.36760
- Interaktive Visualisierung von Medikationsverläufen : ein Prototyp für die Patientenbehandlung : a prototype for physicians in direct patient care / Filip, F. (2018). Interaktive Visualisierung von Medikationsverläufen : ein Prototyp für die Patientenbehandlung : a prototype for physicians in direct patient care [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.54626
- Computer aided training of executive functions for elementary school-aged children / Liu, H. T. H. (2011). Computer aided training of executive functions for elementary school-aged children [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-45958
- GenEdit : a generic editor and tools for questionnaires / Osztovits, M. T. (2007). GenEdit : a generic editor and tools for questionnaires [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:1-18056
Awards
-
Silvia Miksch:
Bridging the Gap between Visual Analytics and Digital Humanities: Beyond the Data-Users-Tasks Design Triangle
2019 / Best Paper Award at VIS workshop vis4dh (IEEE VIS Conference) / USA / Website -
Silvia Miksch:
The Fabric of Heroes: an Infographic about Marvel Cinematic Universe
2019 / Third prize winner at International Symposium on Graph Drawing and Network Visualization Creative Topic Challenge, Contest / Czech Republic / Website -
Silvia Miksch:
The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics
2018 / Third prize winner at International Symposium on Graph Drawing and Network Visualization Creative Topic Challenge, Contest / Spain / Website -
Silvia Miksch:
Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series
2015 / Best Poster Award at IEEE Conference on Visual Analytics Science and Technology (VAST) / USA -
Silvia Miksch:
Honorable Mention at IEEE Conference on Visual Analytics Science and Technology (VAST) 2012
2012 / IEEE Computer Society Visualization & Graphics Technical Committee (VGTC) / USA -
Wolfgang Aigner:
Honorable Mention at IEEE Conference on Visual Analytics Science and Technology (VAST) 2012
2012 / IEEE Computer Society Visualization & Graphics Technical Committee (VGTC) / USA -
Silvia Miksch:
Recognition of Service Award
2012 / Eurographics: European Association for Computer Graphics -
Silvia Miksch:
Karl Ritter von Ghega Award of Recognition for the research project "VisuExplore"
2010 / Karl-Ritter-von-Ghega-Preis / Austria -
Silvia Miksch:
Top Cited Article 2005-2010 in Computers and Graphics
2010 / Pergamon/Elsevier / Netherlands -
Wolfgang Aigner:
Federal Ministry of Science and Research (BM.WF): Sparkling Science Award for the cooperative research project "HorizonVis" with the school HTBL Krems
2010 / Austria -
Wolfgang Aigner:
Top Cited Article 2005-2010 in Computers and Graphics
2010 / Pergamon/Elsevier / Netherlands -
Wolfgang Aigner:
Karl Ritter von Ghega Award of Recognition for the research project "VisuExplore"
2010 / Karl-Ritter-von-Ghega-Preis / Austria -
Wolfgang Aigner:
Federal Ministry of Science and Re- search (BM.WF): Sparkling Science Award for the cooperative research project "StackFlow 3D" with the school HTBL Krems
2009 / Austria -
Silvia Miksch:
Karl Ritter von Ghega Award of Recognition for the research project "DisCo"
2008 / Karl-Ritter-von-Ghega-Preis / Austria -
Wolfgang Aigner:
Karl Ritter von Ghega Award of Recognition for the research project "DisCo"
2008 / Karl-Ritter-von-Ghega-Preis / Austria -
Wolfgang Aigner:
Award of Special Recognition
2004 / Austrian Society of Artificial Intelligence(ÖGAI) / Austria -
Wolfgang Aigner:
Outstanding Achievement Award
2003 / Austria -
Wolfgang Aigner:
Outstanding Achievement Award
1999 / Johannes Kepler University Linz / Austria
And more…
Soon, this page will include additional information such as reference projects, conferences, events, and other research activities.
Until then, please visit Visual Analytics’ research profile in TISS .