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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.
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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.
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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.
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Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, "Visual Support for Rastering of Unequally Spaced Time Series",
Data Science, Statistics & Visualisation Conference (DSSV), 2017.
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Nikolaus Piccolotto, Markus Bögl, Silvia Miksch, "Visual Parameter Space Exploration in Time and Space",
Computer Graphics Forum, 2023.
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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.
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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.
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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.
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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.
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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.
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Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data",
, 2018.
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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.
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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.
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Christian Bors, Markus Bögl, Jürgen Bernard, Theresia Gschwandtner, Silvia Miksch, "Quantifying Uncertainty in Time Series Data Processing",
, 2018.
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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.
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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.
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Velitchko Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch, "On Network Structural and Temporal Encodings: A Space and Time Odyssey",
IEEE Transactions on Visualization and Computer Graphics, pp. 1-14, 2023.
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Nikolaus Piccolotto, Markus Bögl, Silvia Miksch, "Multi-Ensemble Visual Analytics via Fuzzy Sets",
EuroVis Workshop on Visual Analytics (EuroVA), 2023.
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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.
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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.
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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.
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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.
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Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch, "Data Type Agnostic Visual Sensitivity Analysis",
IEEE Transactions on Visualization and Computer Graphics, 2023.
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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.
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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.
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