Contains the keyword Visual analytics

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Bors C, Gschwandtner T, Miksch S. Visually Exploring Data Provenance and Quality of Open Data. In: Posters. The Eurographics Association; 2018. p. 9-11.application/pdf iconpaper
2018
Bernard J, Bors C, Bögl M, Eichner C, Gschwandtner T, Miksch S, et al. Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series. In: EuroVis Workshop on Visual Analytics (EuroVA) 2018. Eurographics Digital Library; 2018. p. 49-53.application/pdf iconpaper
2018
Gschwandtner T, Erhart O. Know Your Enemy: Identifying Quality Problems of Time Series Data. In: IEEE Pacific Visualization Symposium (PacificVis '18). Kobe, Japan: IEEE Xplore Digital Library; 2018. 10.
2018
Leite RA, Gschwandtner T, Miksch S, Gstrein E, Kuntner J. Network Analysis for Financial Fraud Detection. In: Puig A, Raidou R, editors. EuroVis 2018 - Posters. Brno, Czech Republic: The Eurographics Association; 2018.application/pdf iconpaper
2018
Ceneda D, Gschwandtner T, May T, Miksch S, Streit M, Tominski C. Guidance or No Guidance? A Decision Tree Can Help. In: EuroVA: International Workshop on Visual Analytics. Eurographics Digital Library; 2018. p. 19-23.application/pdf iconpaper
2018
Rind A, Federico P, Gschwandtner T, Aigner W, Doppler J, Wagner M. Visual Analytics of Electronic Health Records with a Focus on Time. In: Rinaldi G, editor. New Perspectives in Medical Records: Meeting the Needs of Patients and Practitioners. Springer; 2017. p. 65-77. (TELe-Health).
2017
Ceneda D, Gschwandtner T, May T, Miksch S, Schulz H-, Streit M, et al. Characterizing Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 2017;23(1):111-20.application/pdf iconVIS presentation slides application/pdf iconpaper
2017
2015
Wagner M, Fischer F, Luh R, Haberson A, Rind A, Keim D, et al. A Survey of Visualization Systems for Malware Analysis. In: Borgo R, Ganovelli F, Viola I, editors. Eurographics Conference on Visualization (EuroVis) State of The Art Reports. EuroGraphics; 2015. p. 105-25.application/pdf iconpaper
2015
Gschwandtner T, Schuman H, Bernard J, May T, Bögl M, Miksch S, et al. Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model. In: Maciejewski R, Marton F, editors. Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015). Cagliari, Italy: The Eurographics Association; 2015. 3.application/pdf iconpaper application/pdf iconposter
2015