Markus Bögl

According to our database, Markus Bögl authored at least 25 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

UnDRground Tubes: Exploring Spatial Data with Multidimensional Projections and Set Visualization.

Nikolaus Piccolotto, Markus Wallinger, Silvia Miksch, Markus Bögl

IEEE Trans. Vis. Comput. Graph., January, 2025

2024

On Network Structural and Temporal Encodings: A Space and Time Odyssey.

Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch

IEEE Trans. Vis. Comput. Graph., August, 2024

Data Type Agnostic Visual Sensitivity Analysis.

Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Johanna Schmidt, Silvia Miksch

IEEE Trans. Vis. Comput. Graph., January, 2024

Visual Interactive Parameter Selection for Temporal Blind Source Separation.

Claudia Cappello, Nikolaus Piccolotto, Christoph Muehlmann, Markus Bögl, Peter Filzmoser, Silvia Miksch, Klaus Nordhausen

J. Data Sci. Stat. Vis., 2024

On Combined Visual Cluster and Set Analysis.

Nikolaus Piccolotto, Markus Wallinger, Silvia Miksch, Markus Bögl

Proceedings of the IEEE Visualization and Visual Analytics, 2024

2023

Visual Parameter Space Exploration in Time and Space.

Nikolaus Piccolotto, Markus Bögl, Silvia Miksch

Comput. Graph. Forum, September, 2023

Multi-Ensemble Visual Analytics via Fuzzy Sets.

Nikolaus Piccolotto, Markus Bögl, Silvia Miksch

Proceedings of the 143th International EuroVis Workshop on Visual Analytics, 2023

2022

TBSSvis: Visual analytics for Temporal Blind Source Separation.

Nikolaus Piccolotto, Markus Bögl, Theresia Gschwandtner, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch

Vis. Informatics, 2022

Visual Parameter Selection for Spatial Blind Source Separation.

Nikolaus Piccolotto, Markus Bögl, Christoph Muehlmann, Klaus Nordhausen, Peter Filzmoser, Silvia Miksch

Comput. Graph. Forum, 2022

On Time and Space: An Experimental Study on Graph Structural and Temporal Encodings.

Velitchko Andreev Filipov, Alessio Arleo, Markus Bögl, Silvia Miksch

Proceedings of the Graph Drawing and Network Visualization - 30th International Symposium, 2022

2019

Quantifying Uncertainty in Multivariate Time Series Pre-Processing.

Christian Bors, Jürgen Bernard, Markus Bögl, Theresia Gschwandtner, Jörn Kohlhammer, Silvia Miksch

Proceedings of the 10th International EuroVis Workshop on Visual Analytics, 2019

2018

Categorizing Uncertainties in the Process of Segmenting and Labeling Time Series Data.

Markus Bögl, Christian Bors, Theresia Gschwandtner, Silvia Miksch

Proceedings of the 20th Eurographics Conference on Visualization, 2018

Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series.

Jürgen Bernard, Christian Bors, Markus Bögl, Christian Eichner, Theresia Gschwandtner, Silvia Miksch, Heidrun Schumann, Jörn Kohlhammer

Proceedings of the 9th International EuroVis Workshop on Visual Analytics, 2018

2017

Cycle Plot Revisited: Multivariate Outlier Detection Using a Distance-Based Abstraction.

Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Roger A. Leite, Silvia Miksch, Alexander Rind

Comput. Graph. Forum, 2017

Visual support for rastering of unequally spaced time series.

Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch

Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

2016

Visual Encodings of Temporal Uncertainty: A Comparative User Study.

Theresia Gschwandtner, Markus Bögl, Paolo Federico, Silvia Miksch

IEEE Trans. Vis. Comput. Graph., 2016

Visual-Interactive Segmentation of Multivariate Time Series.

Jürgen Bernard, Eduard Dobermann, Markus Bögl, Martin Röhlig, Anna Vögele, Jörn Kohlhammer

Proceedings of the 7th International EuroVis Workshop on Visual Analytics, 2016

2015

Integrating Predictions in Time Series Model Selection.

Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Theresia Gschwandtner, Tim Lammarsch, Silvia Miksch, Alexander Rind

Proceedings of the 6th International EuroVis Workshop on Visual Analytics, 2015

Supporting activity recognition by visual analytics.

Martin Rohlig, Martin Luboschik, Frank Krüger, Thomas Kirste, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Visually and statistically guided imputation of missing values in univariate seasonal time series.

Markus Bögl, Peter Filzmoser, Theresia Gschwandtner, Silvia Miksch, Wolfgang Aigner, Alexander Rind, Tim Lammarsch

Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

2014

A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data.

Bilal Alsallakh, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Bilal Esmael, Arghad Arnaout, Gerhard Thonhauser, Philipp Zöllner

Proceedings of the 5th International EuroVis Workshop on Visual Analytics, 2014

Analyzing parameter influence on time-series segmentation and labeling.

Martin Rohlig, Martin Luboschik, Heidrun Schumann, Markus Bögl, Bilal Alsallakh, Silvia Miksch

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

2013

Visual Analytics for Model Selection in Time Series Analysis.

Markus Bögl, Wolfgang Aigner, Peter Filzmoser, Tim Lammarsch, Silvia Miksch, Alexander Rind

IEEE Trans. Vis. Comput. Graph., 2013

Interactive Visual Transformation for Symbolic Representation of Time-Oriented Data.

Tim Lammarsch, Wolfgang Aigner, Alessio Bertone, Markus Bögl, Theresia Gschwandtner, Silvia Miksch, Alexander Rind

Proceedings of the Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data, 2013

2010

The mcs-ie System for Explaining Inconsistency in Multi-Context Systems.

Markus Bögl, Thomas Eiter, Michael Fink, Peter Schüller

Proceedings of the Logics in Artificial Intelligence - 12th European Conference, 2010