Publications

Andreas Walch, Michael Schwärzler, Christian Luksch, Elmar Eisemann, Theresia Gschwandtner, "LightGuider: Guiding Interactive Lighting Design using Suggestions, Provenance, and Quality Visualization", IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020. paper
Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, Jörn Kohlhammer, "Visual-Interactive Preprocessing of Multivariate Time Series Data", Computer Graphics Forum, 2019.
Christos Tsigkanos, Alessio Arleo, Johannes Sorger, Schahram Dustdar, "How do firms transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability", IEEE 20th International Conference on Information Reuse and Integration for Data Science, 2019.
Alessio Arleo, Christos Tsigkanos, Chao Jia, Roger Leite, Ilir Murturi, Manfred Klaffenböck, Schahram Dustdar, Silvia Miksch, Michael Wimmer, Johannes Sorger, "Sabrina: Modeling and Visualization of Economy Data with Incremental Domain Knowledge", IEEE VIS 2019, 2019. paper https://www.cvast.tuwien.ac.at/sites/default/files/2019-07/Suppl.%20Material_0…
Velitchko Filipov, Alessio Arleo, Davide Ceneda, Silvia Miksch, "The Fabric of Heroes: an Infographic about Marvel Cinematic Universe", International Symposium on Graph Drawing and Network Visualization, 2019.
Velitchko Filipov, Alessio Arleo, Paolo Federico, Silvia Miksch, "CV3: Visual Exploration, Assessment, and Comparison of CVs", Computer Graphics Forum, vol. 38, pp. 11, 2019. paper
An uncertainty quantification cube for multivariate time series Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch, "Quantifying Uncertainty in Multivariate Time Series Pre-Processing", EuroVis Workshop on Visual Analytics (EuroVA), 2019.
Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Capturing and Visualizing Provenance from Data Wrangling", Computer Graphics & Applications, 2019.
Davide Ceneda, Theresia Gschwandtner, Silvia Miksch, "A review of guidance approaches in visual data analysis: A multifocal perspective", Computer Graphics Forum, vol. 38, pp. 861-879, 2019. paper
Davide Ceneda, Theresia Gschwandtner, Thorsten May, Silvia Miksch, Marc Streit, Christian Tominski, "Guidance or No Guidance? A Decision Tree Can Help", EuroVA: International Workshop on Visual Analytics, pp. 19–23, 2018. paper
Florian Windhager, Paolo Federico, Günther Schreder, Katrin Glinka, Marian Dörk, Silvia Miksch, Eva Mayr, "Visualization of Cultural Heritage Collection Data: State of the Art and Future Challenges", IEEE Transactions on Visualization and Computer Graphics, vol. 25, pp. 20, 2018. paper
Florian Windhager, Velitchko Filipov, Saminu Salisu, Eva Mayr, "Visualizing Uncertainty in Cultural Heritage Collections", EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2018.
Alice Thud, Theresia Gschwandtner, Jagoda Walny, Jason Dykes, John Stasko, "Exploration and Explanation in Data-Driven Storytelling", Data-Driven Storytelling, 2018. paper
Velitchko Filipov, Paolo Federico, Silvia Miksch, "CV3: Visual Exploration, Assessment, and Comparison of CVs", EuroVis 2018 - Posters, 2018.
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data", , 2018. paper
Fabian Schwarzinger, Andreas Roschal, Theresia Gschwandtner, "Sketching Temporal Uncertainty - An Exploratory User Study", EuroVis 2018 - Short Papers, Eurographics/IEEE VGTC Conference on Visualization, pp. 67-71, 2018. paper supplemental material
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "Network Analysis for Financial Fraud Detection", EuroVis 2018 - Posters, 2018. paper
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "Visual analytics for event detection: Focusing on fraud", Visual Informatics, Elsevier, vol. 2, 2018. paper
Theresia Gschwandtner, Oliver Erhart, "Know Your Enemy: Identifying Quality Problems of Time Series Data", IEEE Pacific Visualization Symposium (PacificVis '18), pp. 205-214, 2018. paper
Natalia Andrienko, Tim Lammarsch, Gennady Andrienko, Georg Fuchs, Daniel Keim, Silvia Miksch, Alexander Rind, "Viewing Visual Analytics as Model Building", Computer Graphics Forum, vol. 37, pp. 275–299, 2018. paper
Davide Ceneda, Theresia Gschwandtner, Silvia Miksch, Christian Tominski, "Guided Visual Exploration of Cyclical Patterns in Time-series", , 2018. paper
Christian Bors, Theresia Gschwandtner, Simone Kriglstein, Silvia Miksch, Margit Pohl, "Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics", Journal of Data and Information Quality (JDIQ), vol. 10, pp. 3:1–3:26, 2018. paper
Andreas Peterschofsky, Theresia Gschwandtner, "VoD - Understanding Structure, Content, and Quality of a Dataset", IEEE VIS Workshop on Visual Summarization and Report Generation: Beyond Scatter-Plots and Bar-Charts (VISREG 2018), 2018. paper
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data", , 2018. paper
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Simone Kriglstein, Margit Pohl, Erich Gstrein, Johannes Kuntner, "EVA: Visual Analytics to Identify Fraudulent Events", IEEE Transactions on Visualization and Computer Graphics, vol. 24, pp. 330 - 339, 2018. paper video