Publications of Theresia Gschwandtner

Davide Ceneda, Alessio Arleo, Theresia Gschwandtner, Silvia Miksch, "Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics", IEEE Transactions on Visualization and Computer Graphics, vol. 28, pp. 12, 2022.
Christina Stoiber, Davide Ceneda, Markus Wagner, Victor Schetinger, Theresia Gschwandtner, Marc Streit, Silvia Miksch, Wolfgang Aigner, "Perspectives of Visualization Onboarding and Guidance in VA", Visual Informatics, vol. 6, pp. 15, 2022.
Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch, "TBSSvis: Visual analytics for temporal blind source separation", Visual Informatics, vol. 6, pp. 15, 2022. paper
Davide Ceneda, Natalia Andrienko, Gennady Andrienko, Theresia Gschwandtner, Silvia Miksch, Nikolaus Piccolotto, Tobias Schreck, Marc Streit, Josef Suschnigg, Christian Tominski, "Guide Me in Analysis: A Framework for Guidance Designers", Computer Graphics Forum, vol. 39, pp. 19, 2020.
Christian Bors, Christian Eichner, Silvia Miksch, Christian Tominski, Heidrun Schumann, Theresia Gschwandtner, "Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques", EuroVis 2020, 2020.
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), vol. 26, pp. 10, 2020. paper
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "NEVA: Visual Analytics to Identify Fraudulent Networks", Computer Graphics Forum, vol. 39, 2020. paper https://onlinelibrary.wiley.com/doi/pdf/10.1111/cgf.14042
Roger Leite, Alessio Arleo, Johannes Sorger, Theresia Gschwandtner, Silvia Miksch, "Hermes: Guidance-enriched Visual Analytics for economic network exploration", Visual Informatics, Elsevier, vol. 4, 2020.
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.
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.
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.
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.
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. video
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.
Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Visually Exploring Data Provenance and Quality of Open Data", EuroVis 2018 - Posters, pp. 9–11, 2018.
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.
Roger Leite, Theresia Gschwandtner, Silvia Miksch, Erich Gstrein, Johannes Kuntner, "Network Analysis for Financial Fraud Detection", EuroVis 2018 - Posters, 2018.
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.
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.