| Visual encodings of temporal uncertainty: A comparative user study T Gschwandtnei, M Bögl, P Federico, S Miksch IEEE transactions on visualization and computer graphics 22 (1), 539-548, 2015 | 89 | 2015 |
| Visual analytics for model selection in time series analysis M Bögl, W Aigner, P Filzmoser, T Lammarsch, S Miksch, A Rind IEEE transactions on visualization and computer graphics 19 (12), 2237-2246, 2013 | 84 | 2013 |
| The mcs-ie System for Explaining Inconsistency in Multi-Context Systems M Bögl, T Eiter, M Fink, P Schüller European Workshop on Logics in Artificial Intelligence, 356-359, 2010 | 36 | 2010 |
| Supporting activity recognition by visual analytics M Röhlig, M Luboschik, F Krüger, T Kirste, H Schumann, M Bögl, ... 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 41-48, 2015 | 23 | 2015 |
| A Visual Analytics Approach to Segmenting and Labeling Multivariate Time Series Data. B Alsallakh, M Bögl, T Gschwandtner, S Miksch, B Esmael, A Arnaout, ... EuroVA@ EuroVis, 2014 | 21 | 2014 |
| Visually and statistically guided imputation of missing values in univariate seasonal time series M Bögl, P Filzmoser, T Gschwandtner, S Miksch, W Aigner, A Rind, ... 2015 IEEE Conference on Visual Analytics Science and Technology (VAST), 189-190, 2015 | 20 | 2015 |
| Visual-Interactive Segmentation of Multivariate Time Series. J Bernard, E Dobermann, M Bögl, M Röhlig, A Vögele, J Kohlhammer EuroVA@ EuroVis, 31-35, 2016 | 19 | 2016 |
| Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series. J Bernard, C Bors, M Bögl, C Eichner, T Gschwandtner, S Miksch, ... EuroVA@ EuroVis, 49-53, 2018 | 18 | 2018 |
| Cycle plot revisited: Multivariate outlier detection using a distance‐based abstraction M Bögl, P Filzmoser, T Gschwandtner, T Lammarsch, RA Leite, S Miksch, ... Computer Graphics Forum 36 (3), 227-238, 2017 | 16 | 2017 |
| Visual analytics methods to guide diagnostics for time series model predictions M Bögl, W Aigner, P Filzmoser, T Gschwandtner, T Lammarsch, S Miksch, ... Proceedings of the 2014 IEEE VIS Workshop on Visualization for Predictive …, 2014 | 16 | 2014 |
| Visual support for rastering of unequally spaced time series C Bors, M Bögl, T Gschwandtner, S Miksch Proceedings of the 10th International Symposium on Visual Information …, 2017 | 12 | 2017 |
| Quantifying uncertainty in multivariate time series pre-processing C Bors, J Bernard, M Bögl, T Gschwandtner, J Kohlhammer, S Miksch | 8 | 2019 |
| TBSSvis: Visual analytics for temporal blind source separation N Piccolotto, M Bögl, T Gschwandtner, C Muehlmann, K Nordhausen, ... Visual Informatics 6 (4), 51-66, 2022 | 7 | 2022 |
| Visual parameter selection for spatial blind source separation N Piccolotto, M Bögl, C Muehlmann, K Nordhausen, P Filzmoser, ... Computer Graphics Forum 41 (3), 157-168, 2022 | 7 | 2022 |
| Integrating Predictions in Time Series Model Selection. M Bögl, W Aigner, P Filzmoser, T Gschwandtner, T Lammarsch, S Miksch, ... EuroVA@ EuroVis, 73-77, 2015 | 7 | 2015 |
| Visual parameter space exploration in time and space N Piccolotto, M Bögl, S Miksch Computer Graphics Forum 42 (6), e14785, 2023 | 6 | 2023 |
| Enhancing time series segmentation and labeling through the knowledge generation model T Gschwandtner, H Schumann, J Bernard, T May, M Bögl, S Miksch, ... Poster Proceedings of EuroVis Conference, 2015 | 6 | 2015 |
| Analyzing parameter influence on time-series segmentation and labeling M Röhlig, M Luboschik, H Schumann, M Bögl, B Alsallakh, S Miksch 2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 269-270, 2014 | 6 | 2014 |
| Interactive visual transformation for symbolic representation of time-oriented data T Lammarsch, W Aigner, A Bertone, M Bögl, T Gschwandtner, S Miksch, ... Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured …, 2013 | 5 | 2013 |
| On network structural and temporal encodings: a space and time odyssey V Filipov, A Arleo, M Bögl, S Miksch IEEE transactions on visualization and computer graphics, 2023 | 4 | 2023 |
