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Federico, P., "Visual Analytics of Dynamic Networks", Faculty of Informatics, vol. PhD in Computer Science, Vienna, Austria, TU Wien, pp. 192, 05/2017. application/pdf iconpaper
Federico, P., F. Heimerl, S. Koch, and S. Miksch, "A Survey on Visual Approaches for Analyzing Scientific Literature and Patents", IEEE Transactions on Visualization and Computer Graphics, vol. 23, issue 9: IEEE, pp. 2179 – 2198, 09/2017. application/pdf iconpresentation slides application/pdf iconpaper video/mp4 iconvideo
Bernard, J., C. Bors, M. Bögl, C. Eichner, T. Gschwandtner, S. Miksch, H. Schumann, and J. Kohlhammer, "Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series", EuroVis Workshop on Visual Analytics (EuroVA) 2018: Eurographics Digital Library, pp. 49–53, 2018. application/pdf iconpaper
Filipov, V., P. Federico, and S. Miksch, "CV3: Visual Exploration, Assessment, and Comparison of CVs", EuroVis 2018 - Posters: The Eurographics Association, 2018.
Leite, R. A., T. Gschwandtner, S. Miksch, S. Kriglstein, M. Pohl, E. Gstrein, and J. Kuntner, "EVA: Visual Analytics to Identify Fraudulent Events", IEEE Transactions on Visualization and Computer Graphics, vol. 24, issue 1: IEEE, pp. 330 - 339, 2018. application/pdf iconpaper video/mp4 iconvideo
Thud, A., T. Gschwandtner, J. Walny, J. Dykes, and J. Stasko, "Exploration and Explanation in Data-Driven Storytelling", Data-Driven Storytelling, 1st: A K Peters/CRC Press , 2018.
Ceneda, D., T. Gschwandtner, T. May, S. Miksch, M. Streit, and C. Tominski, "Guidance or No Guidance? A Decision Tree Can Help", EuroVA: International Workshop on Visual Analytics: Eurographics Digital Library, pp. 19–23, 2018. application/pdf iconpaper
Gschwandtner, T., and O. Erhart, "Know Your Enemy: Identifying Quality Problems of Time Series Data", IEEE Pacific Visualization Symposium (PacificVis '18), Kobe, Japan, IEEE Xplore Digital Library, pp. 205-214, 2018. application/pdf iconpaper
Leite, R. A., T. Gschwandtner, S. Miksch, E. Gstrein, and J. Kuntner, "Network Analysis for Financial Fraud Detection", EuroVis 2018 - Posters, Brno, Czech Republic, The Eurographics Association, 2018. application/pdf iconpaper
Schwarzinger, F., A. Roschal, and T. Gschwandtner, "Sketching Temporal Uncertainty - An Exploratory User Study", Eurographics/IEEE VGTC Conference on Visualization (EuroVis 2018), Brno, Czech Republic, The Eurographics Association, pp. 67-71, 2018. application/pdf iconpaper.pdf
Andrienko, N., T. Lammarsch, G. Andrienko, G. Fuchs, D. Keim, S. Miksch, and A. Rind, "Viewing Visual Analytics as Model Building", Computer Graphics Forum, vol. 37, issue 1, no. 6, pp. 275–299, 2018. application/pdf iconpaper
Windhager, F., V. Filipov, S. Salisu, and E. Mayr, "Visualizing Uncertainty in Cultural Heritage Collections", EuroVis Workshop on Reproducibility, Verification, and Validation in Visualization (EuroRV3): The Eurographics Association, 2018.
Bors, C., T. Gschwandtner, and S. Miksch, "Visually Exploring Data Provenance and Quality of Open Data", EuroVis 2018 - Posters: The Eurographics Association, pp. 9–11, 2018. application/pdf iconpaper
Bors, C., T. Gschwandtner, S. Kriglstein, S. Miksch, and M. Pohl, "Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics", Journal of Data and Information Quality (JDIQ), vol. 10, no. 1: ACM, pp. 3:1–3:26, 05/2018.
In Press
Federico, P., M. Wagner, A. Rind, A. Amor-Amorós, S. Miksch, and W. Aigner, "The Role of Explicit Knowledge: A Conceptual Model of Knowledge-Assisted Visual Analytics", Proceedings of the IEEE Conference on Visual Analytics Science and Technology (IEEE VAST 2017), Phoenix, AZ, US, IEEE, In Press. application/pdf iconpresentation slides application/pdf iconsupplemental material application/pdf iconpaper video/mp4 iconvideo