Publications of Markus Bögl

Velitchko Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch, "On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings", Lecture Notes in Computer Science, vol. 13764, pp. 271-288, 2023.
Nikolaus Piccolotto, Markus Bögl, Silvia Miksch, "Visual Parameter Space Exploration in Time and Space", Computer Graphics Forum, 2023. paper
screenshot of the va prototype, showing mainly a big map Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch, "Visual Parameter Selection for Spatial Blind Source Separation", Computer Graphics Forum, vol. 41, pp. 12, 2022. paper
Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch, "TBSSvis: Visual analytics for temporal blind source separation", Visual Informatics, vol. 6, pp. 15, 2022.
Markus Bögl, "Visual Analysis of Periodic Time Series Data - Supporting Model Selection, Prediction, Imputation, and Outlier Detection Using Visual Analytics", Institute of Visual Computing and Human-Centered Technology, vol. PhD, Dr.-techn., 2020. paper
An uncertainty quantification cube for multivariate time series Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch, "Quantifying Uncertainty in Multivariate Time Series Pre-Processing", EuroVis Workshop on Visual Analytics (EuroVA), 2019.
Jürgen Bernard, Christian Bors, Markus Bögl, Christian Eichner, Theresia Gschwandtner, Silvia Miksch, Heidrun Schumann, Jörn Kohlhammer, "Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series", EuroVis Workshop on Visual Analytics (EuroVA) 2018, pp. 49–53, 2018. paper
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data", , 2018. paper
Christian Bors, Markus Bögl, Jürgen Bernard, Theresia Gschwandtner, Silvia Miksch, "Quantifying Uncertainty in Time Series Data Processing", , 2018.
Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data", , 2018. paper
Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series", 10th International Symposium on Visual Information Communication and Interaction (VINCI), pp. 53-57, 2017. paper
Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger Leite, Silvia Miksch, Alexander Rind, "Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction", Computer Graphics Forum, vol. 36, pp. 227–238, 2017. paper Usage Scenario
Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series", Data Science, Statistics & Visualisation Conference (DSSV), 2017. paper
Theresia Gschwandtner, Markus Bögl, Paolo Federico, Silvia Miksch, "Visual Encodings of Temporal Uncertainty: A Comparative User Study", IEEE Transactions on Visualization and Computer Graphics, vol. 22, pp. 539 - 548, 2016. paper
Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, Jörn Kohlhammer, "Visual-Interactive Segmentation of Multivariate Time Series", EuroVis Workshop on Visual Analytics (EuroVA), 2016. paper
Davide Ceneda, Wolfgang Aigner, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Guiding the Visualization of Time-oriented Data", Proceedings of the IEEE Visualization Conference (VIS) - Poster, 2016. paper
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Integrating Predictions in Time Series Model Selection", Proceedings of the EuroVis Workshop on Visual Analytic, EuroVA, pp. 73-77, 2015. paper
Theresia Gschwandtner, Heidrun Schumann, Jürgen Bernard, Thorsten May, Markus Bögl, Silvia Miksch, Jörn Kohlhammer, Martin Röhlig, Bilal Alsallakh, "Enhancing Time Series Segmentation and Labeling Through the Knowledge Generation Model", Poster Proceedings of the Eurographics Conference on Visualization (EuroVis 2015), pp. 3, 2015.
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visually and Statistically Guided Imputation of Missing Values in Univariate Seasonal Time Series", Poster Proceedings of the IEEE Visualization Conference 2015, 2015. paper Preview Video
Martin Röhlig, Martin Luboschik, Markus Bögl, Frank Krüger, Bilal Alsallakh, Silvia Miksch, Thomas Kirste, Heidrun Schumann, "Supporting Activity Recognition by Visual Analytics", Proceedings of the IEEE Conference on Visual Analytics Science and Technology, 2015. paper Teaser
Martin Röhlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch, "Analyzing Parameter Influence on Time-Series Segmentation and Labeling", Poster Proceedings of the IEEE Visualization Conference (VIS), 2014. paper Preview
Bilal Alsallakh, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Bilal Esmael, Arghad Arnaout, Gerhard Thonhauser, Philipp Zöllner, "A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data", EuroVis Workshop on Visual Analytics (EuroVA), pp. 31-35, 2014. paper
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visual Analytics Methods to Guide Diagnostics for Time Series Model Predictions", Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive Analytics, 2014. paper
Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Alexander Rind, "Interactive Visual Transformation for Symbolic Representation of Time-oriented Data", Proceedings of the International Conference on Human Factors in Computing & Informatics (SouthCHI 2013), vol. 7947, pp. 400-419, 2013. paper
Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind, "Visual Analytics for Model Selection in Time Series Analysis", IEEE Transactions on Visualization and Computer Graphics, Special Issue "VIS 2013", vol. 19, pp. 2237 - 2246, 2013. paper Video Introduction with audio narration