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2016
Zeppelzauer, M., Poier, G., Seidl, M., Reinbacher, C., Schulter, Samuel, C., Breiteneder, C., & Bischof, Horst. (2016). Interactive 3D Segmentation of Rock-Art by Enhanced Depth Maps and Gradient Preserving Regularization. ACM Journal on Computing and Cultural Heritage, 9(4), 19:1-19:30. https://doi.org/10.1145/2950062
Zeppelzauer, M., Zielinski, B., Juda, M., & Seidl, M. (2016). A Study on Topological Descriptors for the Analysis of 3D Surface Texture. Journal on Computer and System Sciences, 60.
2015
Seidl, M., Wieser, E., Zeppelzauer, M., Pinz, A., & Breiteneder, C. (2015). Graph-Based Shape Similarity of Petroglyphs. In L. Agapito, M. M. Bronstein, & C. Rother (Eds.), Computer Vision - ECCV 2014 Workshops (Vol. 8925, pp. 133–148). Springer International Publishing.
Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2015). Visualization Techniques for Time-Oriented Data. In M. O. Ward, G. Grinstein, & D. Keim (Eds.), Interactive Data Visualization: Foundations, Techniques, and Applications (2nd ed., pp. 253–284). Boca Raton, Florida, USA: A K Peters/CRC Press.
Alsallakh, B., Micallef, L., Aigner, W., Hauser, H., Miksch, S., & Rodgers, P. (2015). The State-of-the-Art of Set Visualization. Computer Graphics Forum, Early view. https://doi.org/10.1111/cgf.12722
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.
Salvador, A., Zeppelzauer, M., Manchón-Vizuente, D., Calafell, A., & Giró-i-Nieto, X. (2015). Cultural Event Recognition with Visual ConvNets and Temporal Models. In Proceedings of the CVPR Workshop ChaLearn Looking at People 2015. Boston, Massachusetts, United States: IEEE.
Seidl, M., Wieser, E., & Alexander, C. (2015). Automated classification of petroglyphs. Digital Applications in Archaeology and Cultural Heritage, (0). https://doi.org/http://dx.doi.org/10.1016/j.daach.2015.03.001
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/10.1109/TVCG.2015.2513389
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). Cagliari, Italy: The Eurographics Association. https://doi.org/10.2312/eurovisstar.20151114
Zaharieva, M., Zeppelzauer, M., Del Fabro, M., & Schopfhauser, D. (2015). Social Event Mining in Large Photo Collections. In Proceedings of the International Conference on Multimedia Retrieval. Shanghai, China: ACM Press.
Zaharieva, M., Del Fabro, M., & Zeppelzauer, M. (2015). Cross-Platform Social Event Detection. IEEE Multimedia, 22(3), 14. https://doi.org/10.1109/MMUL.2015.31
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/doi:10.1186/s13104-015-1370-y
Zeppelzauer, M., Wieser, E., & Seidl, M. (2015). A Novel Annotation Tool for Complex Petroglyph Shapes. In The Future of Datasets in Vision Workshop (in conjunction with CVPR 2015). Boston, MA, USA.
Zeppelzauer, M., Poier, G., Seidl, M., Reinbacher, C., Breiteneder, C., & Bischof, H. (2015). Interactive Segmentation of Rock-Art in High-Resolution 3D Reconstructions. In Conference Proceedings of Digital Heritage 2015 Full Papers. Granada, Spain.
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.
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) (pp. 1–8). ACM Press. https://doi.org/10.1145/2637748.2638423
Judmaier, P., Pohl, M., Michelberger, F., Bichler, R., Erharter, D., Fränzl, T., & Kunz, A. (2014). Untersuchungsmethoden zur Gendersensibilität von Arbeitsplätzen im Umfeld sicherheitskritischer Systeme. In Gender UseT. Berlin: Kompetenzzentrum Technik – Diversity – Chancengleichheit e.V.
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/10.1016/j.cag.2013.10.007
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/10.1016/j.cag.2013.11.002