Publications

Davide Ceneda, Theresia Gschwandtner, Silvia Miksch, "You get by with a little help: The effects of variable guidance degrees on performance and mental state", Visual Informatics, vol. 3, pp. 177-191, 2019. paper
The Quality Flow and Provenance Graph views of the Data Quality Provenance Explorer. Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Capturing and Visualizing Provenance From Data Wrangling", IEEE Computer Graphics and Applications, vol. 39, pp. 15, 2019. paper
Saminu Salisu, Eva Mayr, Velitchko Filipov, Florian Windhager, Roger Leite, Silvia Miksch, "Shapes of Time: Visualizing Set Changes Over Time", SetVA - Set Visual Analytics Workshop at IEEE VIS 2019, 2019.
Johannes Sorger, Manuela Waldner, Wolfgang Knecht, Alessio Arleo, "Immersive Analytics of Large Dynamic Networks via Overview and Detail Navigation", IEEE AIVR 2019, 2019. 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
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
Alice Thud, Theresia Gschwandtner, Jagoda Walny, Jason Dykes, John Stasko, "Exploration and Explanation in Data-Driven Storytelling", Data-Driven Storytelling, 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
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
Jürgen Bernard, Christian Bors, Markus Bögl, Christian Eichner, Theresia Gschwandtner, Silvia Miksch, Heidrun Schumann, Jörn Kohlhammer, "Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series", EuroVis Workshop on Visual Analytics (EuroVA) 2018, pp. 49–53, 2018. paper
Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Visually Exploring Data Provenance and Quality of Open Data", EuroVis 2018 - Posters, pp. 9–11, 2018. 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, Velitchko Filipov, Saminu Salisu, Eva Mayr, "Visualizing Uncertainty in Cultural Heritage Collections", EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3), 2018.
Velitchko Filipov, Paolo Federico, Silvia Miksch, "CV3: Visual Exploration, Assessment, and Comparison of CVs", EuroVis 2018 - Posters, 2018.
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "Network Analysis for Financial Fraud Detection", EuroVis 2018 - Posters, 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
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
Davide Ceneda, Theresia Gschwandtner, Silvia Miksch, Christian Tominski, "Guided Visual Exploration of Cyclical Patterns in Time-series", , 2018. paper
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data", , 2018. paper
Christian Bors, Markus Bögl, Jürgen Bernard, Theresia Gschwandtner, Silvia Miksch, "Quantifying Uncertainty in Time Series Data Processing", , 2018.
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
Velitchko Filipov, Davide Ceneda, Michael Koller, Alessio Arleo, Silvia Miksch, "The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics", , 2018. paper High Quality Poster
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data", , 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, "Visual Analytics Meets Process Mining: Challenges and Opportunities", Fifth International Symposium on Data-Driven Process Discovery and Analysis, vol. 244, 2017. paper