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2020 – today
- 2024
[j9]Claudia Cappello
, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen:
Visual Interactive Parameter Selection for Temporal Blind Source Separation. J. Data Sci. Stat. Vis. 4(3) (2024)- [j8]Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch:
Data Type Agnostic Visual Sensitivity Analysis. IEEE Trans. Vis. Comput. Graph. 30(1): 1106-1116 (2024) - [j7]Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch:
On Network Structural and Temporal Encodings: A Space and Time Odyssey. IEEE Trans. Vis. Comput. Graph. 30(8): 5847-5860 (2024) - 2023
- [j6]Nikolaus Piccolotto, Markus Bögl, Silvia Miksch:
Visual Parameter Space Exploration in Time and Space. Comput. Graph. Forum 42(6) (2023) - [c14]Nikolaus Piccolotto, Markus Bögl, Silvia Miksch:
Multi-Ensemble Visual Analytics via Fuzzy Sets. EuroVA@EuroVis 2023: 25-30 - [i4]Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch:
Data Type Agnostic Visual Sensitivity Analysis. CoRR abs/2309.03580 (2023) - 2022
- [j5]Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
Visual Parameter Selection for Spatial Blind Source Separation. Comput. Graph. Forum 41(3): 157-168 (2022) - [j4]Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
TBSSvis: Visual analytics for Temporal Blind Source Separation. Vis. Informatics 6(4): 51-66 (2022) - [c13]Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch:
On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings. GD 2022: 271-288 - [i3]Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch:
On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings. CoRR abs/2208.13716 (2022) - 2021
- [i2]Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
Visual Parameter Selection for Spatial Blind Source Separation. CoRR abs/2112.08888 (2021) - 2020
- [i1]Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch:
TBSSvis: Visual Analytics for Temporal Blind Source Separation. CoRR abs/2011.09896 (2020)
2010 – 2019
- 2019
- [c12]Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch:
Quantifying Uncertainty in Multivariate Time Series Pre-Processing. EuroVA@EuroVis 2019: 31-35 - 2018
- [c11]Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch:
Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data. EuroVis (Posters) 2018: 45-47 - [c10]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. EuroVA@EuroVis 2018: 49-53 - 2017
- [j3]Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger A. Leite, Silvia Miksch, Alexander Rind:
Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction. Comput. Graph. Forum 36(3): 227-238 (2017) - [c9]Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch:
Visual support for rastering of unequally spaced time series. VINCI 2017: 53-57 - 2016
- [j2]Theresia Gschwandtner, Markus Bögl, Paolo Federico, Silvia Miksch:
Visual Encodings of Temporal Uncertainty: A Comparative User Study. IEEE Trans. Vis. Comput. Graph. 22(1): 539-548 (2016) - [c8]Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, Jörn Kohlhammer:
Visual-Interactive Segmentation of Multivariate Time Series. EuroVA@EuroVis 2016: 31-35 - 2015
- [c7]Martin Rohlig, Martin Luboschik, Frank Krüger, Thomas Kirste, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Supporting activity recognition by visual analytics. VAST 2015: 41-48 - [c6]Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, Tim Lammarsch:
Visually and statistically guided imputation of missing values in univariate seasonal time series. VAST 2015: 189-190 - [c5]Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind:
Integrating Predictions in Time Series Model Selection. EuroVA@EuroVis 2015: 73-77 - 2014
- [c4]Martin Rohlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch:
Analyzing parameter influence on time-series segmentation and labeling. IEEE VAST 2014: 269-270 - [c3]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. EuroVA@EuroVis 2014 - 2013
- [j1]Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind:
Visual Analytics for Model Selection in Time Series Analysis. IEEE Trans. Vis. Comput. Graph. 19(12): 2237-2246 (2013) - [c2]Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Alexander Rind:
Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data. CHI-KDD 2013: 400-419 - 2010
- [c1]Markus Bögl, Thomas Eiter, Michael Fink, Peter Schüller:
The mcs-ie System for Explaining Inconsistency in Multi-Context Systems. JELIA 2010: 356-359
Coauthor Index
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