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

, , , , , , , and . EuroVA@EuroVis, page 49-53. Eurographics Association, (2018)

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Quantifying Uncertainty in Multivariate Time Series Pre-Processing., , , , , and . EuroVA@EuroVis, page 31-35. Eurographics Association, (2019)Visual Analysis of Degree-of-Interest Functions to Support Selection Strategies for Instance Labeling., , , , , and . EuroVA@EuroVis, page 1-5. Eurographics Association, (2019)Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding., , , and . CoRR, (2021)Visual-Interactive Preprocessing of Multivariate Time Series Data., , , , , and . Comput. Graph. Forum, 38 (3): 401-412 (2019)Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation., , , and . IEEE VIS (Short Papers), page 61-65. IEEE, (2021)A Design Space for Explainable Ranking and Ranking Models., , , and . EuroVis (Posters), page 35-37. Eurographics Association, (2022)A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences., , , and . BELIV, page 66-76. IEEE, (2022)Human-Based and Automatic Feature Ideation for Time Series Data: A Comparative Study., , , and . EuroVA@EuroVis, page 7-12. Eurographics Association, (2023)LFPeers: Temporal Similarity Search in Covid-19 Data., , and . EuroVA@EuroVis, page 49-53. Eurographics Association, (2021)Exploratory search in time-oriented primary data.. Darmstadt University of Technology, Germany, (2015)