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Michaela Tuscher, Markus Bögl, "Visual Analytics",
Wintergraph 2025, 2025.
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Nikolaus Piccolotto, Markus Wallinger, Silvia Miksch, Markus Bögl, "UnDRground Tubes: Exploring Spatial Data With Multidimensional Projections and Set Visualization ",
IEEE Transactions on Visualization and Computer Graphics, vol. 31, pp. 11, 2025.
paper https://osf.io/c7yga/ https://osf.io/zna3u |
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Nikolaus Piccolotto, Markus Wallinger, Silvia Miksch, Markus Bögl, "On Combined Visual Cluster and Set Analysis ",
IEEE VIS (Short Papers), 2024.
paper https://osf.io/8gxzw/ |
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Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen, "Visual Interactive Parameter Selection for Temporal Blind Source Separation",
Journal of Data Science, Statistics, and Visualisation, vol. 4, 2024.
paper |
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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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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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Nikolaus Piccolotto, Markus Bögl, Silvia Miksch, "Visual Parameter Space Exploration in Time and Space",
Computer Graphics Forum, vol. 42, 2023.
paper |
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Nikolaus Piccolotto, Markus Bögl, Silvia Miksch, "Multi-Ensemble Visual Analytics via Fuzzy Sets",
EuroVis Workshop on Visual Analytics (EuroVA), 2023.
paper |
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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.
paper |
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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.
paper |
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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.
paper |
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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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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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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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Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data",
, 2018.
paper |
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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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Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch, "Uncertainty types in segmenting and labeling time series data",
, 2018.
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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.
paper |
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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.
Usage Scenario |
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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.
paper |
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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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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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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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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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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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