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Bögl M, Filzmoser P, Gschwandtner T, Lammarsch T, Leite RA, Miksch S, et al. Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Computer Graphics Forum. 2017;36(3):227-38.application/pdf iconSupplementary Material for Usage Scenario application/pdf iconpaper
2017
Bors C, Bögl M, Gschwandtner T, Miksch S. Visual Support for Rastering of Unequally Spaced Time Series. Filzmoser P, Oliveira RM, Groenen P, editors. Lissabon: University of Lisbon, Portugal; 2017.
2017
Bögl M, Aigner W, Filzmoser P, Gschwandtner T, Lammarsch T, Miksch S, et al. Integrating Predictions in Time Series Model Selection. In: Bertini E, Roberts JC, editors. Proceedings of the EuroVis Workshop on Visual Analytic, EuroVA. Cagliari, Italy: EuroGraphics; 2015. p. 73-7.application/pdf iconpaper
2015
Bögl M, Aigner W, Filzmoser P, Gschwandtner T, Lammarsch T, Miksch S, et al. Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series. In: Yang J, Bertini E, Elmqvist N, Dwyer T, Yuan X, Carr H, editors. Poster Proceedings of the IEEE Visualization Conference 2015. Chicago, USA; 2015.application/pdf iconPoster application/pdf iconBest Poster Award application/pdf iconpaper video/mp4 iconvideo
2015
Bögl M, Aigner W, Filzmoser P, Gschwandtner T, Lammarsch T, Miksch S, et al. Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions. In: Perer A, Bertini E, Maciejewski R, Sun J, editors. Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics. Paris, France; 2014.application/pdf iconpaper
2014
Bögl M, Aigner W, Filzmoser P, Lammarsch T, Miksch S, Rind A. Visual Analytics for Model Selection in Time Series Analysis. IEEE Transactions on Visualization and Computer Graphics, Special Issue "VIS 2013". 2013;19(12):2237-46.application/pdf iconpaper video/mp4 iconvideo
2013