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2015
Roider, O., Judmaier, P., Barberi, A., & Michelberger, F. (2015). Recognition of sustainable mobility as basis for the transition into a digitial gaming concept for young people. http://www.iatbr2015.org.uk/index.php/iatbr/iatbr2015/paper/view/399
Salvador, A., Zeppelzauer, M., Manchón-Vizuente, D., Calafell, A., & Giró-i-Nieto, X. (2015, April 28). Cultural Event Recognition with Visual ConvNets and Temporal Models. Proceedings of the CVPR Workshop ChaLearn Looking at People 2015. Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, United States. http://arxiv.org/abs/1504.06567
Seidl, M., Wieser, E., & Alexander, C. (2015). Automated classification of petroglyphs. Digital Applications in Archaeology and Cultural Heritage, 0. https://doi.org/10/gd6csz
Stitz, H., Gratzl, S., Aigner, W., & Streit, M. (2015). ThermalPlot: Visualizing Multi-Attribute Time-Series Data Using a Thermal Metaphor. IEEE Transactions on Visualization and Computer Graphics, 22, 2594–2607. https://doi.org/10/ghppzs
Wagner, M., Fischer, F., Luh, R., Haberson, A., Rind, A., Keim, D. A., & Aigner, W. (2015). A Survey of Visualization Systems for Malware Analysis. In R. Borgo, F. Ganovelli, & I. Viola (Eds.), Eurographics Conference on Visualization (EuroVis) - STARs (pp. 105–125). The Eurographics Association. https://doi.org/10/cwc4
Zaharieva, M., Del Fabro, M., & Zeppelzauer, M. (2015). Cross-Platform Social Event Detection. IEEE Multimedia, 22(3), 14. https://doi.org/10/gh3773
Zaharieva, M., Zeppelzauer, M., Del Fabro, M., & Schopfhauser, D. (2015, March 24). Social Event Mining in Large Photo Collections. Proceedings of the International Conference on Multimedia Retrieval. ACM International Conference on Multimedia Retrieval, Shanghai, China.
Zeppelzauer, M., Wieser, E., & Seidl, M. (2015). A Novel Annotation Tool for Complex Petroglyph Shapes. The Future of Datasets in Vision Workshop (in Conjunction with CVPR 2015).
Zeppelzauer, M., & Stöger, A. (2015). Establishing the fundamentals for an elephant early warning and monitoring system. BMC Research Notes, 8:409, 15. https://doi.org/10/gb3pth
Zeppelzauer, M., Poier, G., Seidl, M., Reinbacher, C., Breiteneder, C., & Bischof, H. (2015). Interactive Segmentation of Rock-Art in High-Resolution 3D Reconstructions. Conference Proceedings of Digital Heritage 2015 Full Papers.
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
Litschka, M. (2014). The Austrian School of Economics. In J. Backhaus, A. Marciano, & G. B. Ramello (Eds.), Encyclopedia of Law and Economics. Springer.
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
Pellegrini, T., Dirschl, C., & Eck, K. (2014). Linked data business cube: a systematic approach to semantic web business models. 132–141. https://doi.org/10/gh38cb
Pellegrini, T., Sack, H., & Auer, S. (Eds.). (2014). Linked Enterprise Data. Springer Verlag.
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