Publications
                    
    Filtered:
            
            
                
    Ordered by year and author
        
        
        
                            2015
                        
                                                    
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., & 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.
            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).
            
                            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