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2020 – today
- 2020
[c6]Christian Bors, Christian Eichner, Silvia Miksch, Christian Tominski, Heidrun Schumann, Theresia Gschwandtner:
Exploring Time Series Segmentations Using Uncertainty and Focus+Context Techniques. EuroVis (Short Papers) 2020: 7-11
2010 – 2019
- 2019
- [j4]Christian Bors
, John E. Wenskovitch, Michelle Dowling, Simon Attfield, Leilani Battle, Alex Endert, Olga Kulyk, Robert S. Laramee:
A Provenance Task Abstraction Framework. IEEE Computer Graphics and Applications 39(6): 46-60 (2019) - [j3]Christian Bors, Theresia Gschwandtner, Silvia Miksch:
Capturing and Visualizing Provenance From Data Wrangling. IEEE Computer Graphics and Applications 39(6): 61-75 (2019) - [j2]Jürgen Bernard, Marco Hutter, Heiko Reinemuth, Hendrik Pfeifer, Christian Bors, Jörn Kohlhammer:
Visual-Interactive Preprocessing of Multivariate Time Series Data. Comput. Graph. Forum 38(3): 401-412 (2019) - [c5]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
- [j1]Christian Bors, Theresia Gschwandtner, Simone Kriglstein, Silvia Miksch, Margit Pohl:
Visual Interactive Creation, Customization, and Analysis of Data Quality Metrics. ACM J. Data Inf. Qual. 10(1): 3:1-3:26 (2018) - [c4]Christian Bors, Theresia Gschwandtner, Silvia Miksch:
Visually Exploring Data Provenance and Quality of Open Data. EuroVis (Posters) 2018: 9-11 - [c3]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 - [c2]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
- [c1]Christian Bors, Markus Bögl, Theresia Gschwandtner, Silvia Miksch:
Visual support for rastering of unequally spaced time series. VINCI 2017: 53-57
Coauthor Index
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