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2014
Bögl, M., Aigner, W., Filzmoser, P., Gschwandtner, T., Lammarsch, T., Miksch, S., & Rind, A. (2014). Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In A. Perer, E. Bertini, R. Maciejewski, & J. Sun (Eds.), Proceedings of the IEEE VIS 2014 Workshop Visualization for Predictive Analytics, VPA. https://publik.tuwien.ac.at/files/PubDat_232994.pdf
Gschwandtner, T., Aigner, W., Miksch, S., Gärtner, J., Kriglstein, S., Pohl, M., & Suchy, N. (2014). TimeCleanser: A Visual Analytics Approach for Data Cleansing of Time-Oriented Data. In S. Lindstaedt, M. Granitzer, & H. Sack (Eds.), 14th International Conference on Knowledge Technologies and Data-driven Business (i-KNOW 2014) (Graz, Austria; pp. 1–8). ACM Press. https://doi.org/10/ghtw5j
Judmaier, P., Pohl, M., Michelberger, F., Bichler, R., Erharter, D., Fränzl, T., & Kunz, A. (2014). Untersuchungsmethoden zur Gendersensibilität von Arbeitsplätzen im Umfeld sicherheitskritischer Systeme. Gender UseT.
Judmaier, P., Pohl, M., Michelberger, F., Bichler, R., Erharter, D., Fränzl, T., & Kunz, A. (2014). Untersuchungsmethoden zur Gendersensibilität von Arbeitsplätzen im Umfeld sicherheitskritischer Systeme. Gender UseT.
Lammarsch, T., Aigner, W., Bertone, A., Miksch, S., & Rind, A. (2014). Mind the Time: Unleashing Temporal Aspects in Pattern Discovery. Computers & Graphics, 38, 38–50. https://doi.org/10/f3szvj
Miksch, S., & Aigner, W. (2014). A Matter of Time: Applying a Data-Users-Tasks Design Triangle to Visual Analytics of Time-Oriented Data. Computers & Graphics, 38, 286–290. https://doi.org/10/f3szvk
Rind, A., Aigner, W., Wagner, M., Miksch, S., & Lammarsch, T. (2014). User Tasks for Evaluation: Untangling the Terminology Throughout Visualization Design and Development. In H. Lam, P. Isenberg, T. Isenberg, & M. Sedlmair (Eds.), Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization (pp. 9–15). ACM. https://doi.org/10/f3szvm
Wagner, M., Aigner, W., Rind, A., Dornhackl, H., Kadletz, K., Luh, R., & Tavolato, P. (2014). Problem Characterization and Abstraction for Visual Analytics in Behavior-Based Malware Pattern Analysis. In L. Harrison (Ed.), Proceedings of the Eleventh Workshop on Visualization for Cyber Security (pp. 9–16). ACM. https://doi.org/10/cv8p
2013
von Suess, R., Blumenstein, K., Doppler, J., Kuntner, G., & Schneider, A. (2013). Priticop 3.0. Formatentwicklung: Wissenschaftsmagazin im Fernsehen [Studie, Ergebnisse einer Auftragsforschung für Terra Mater und Servus TV].
2012
Seidl, M., & Breiteneder, C. (2012). Automated petroglyph image segmentation with interactive classifier fusion. Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing, 66:1-66:8. https://doi.org/10/gh372j
2011
Seidl, M., Zeppelzauer, M., Mitrović, D., & Breiteneder, C. (2011). Gradual transition detection in historic film material —a systematic study. J. Comput. Cult. Herit., 4(3), 10:1-10:18. https://doi.org/10/fzsqr8