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Using constraint-based optimization and variability to support continuous self-adaptation.

, , , , , and . SAC, page 486-491. ACM, (2012)

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Dr. rer. nat. Daniel Hernandez University of Stuttgart

Visualizing How-Provenance Explanations for SPARQL Queries, , , and . Proceedings of the ACM Web Conference 2023, page 212-216. New York, NY, United States, Association for Computing Machinery, (2023)

Univ. -Prof. Dr. Daniel Weiskopf University of Stuttgart

Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.
Dataset for NMF-based Analysis of Mobile Eye-Tracking Data, , , and . Dataset, (2024)Related to: Daniel Klötzl, Tim Krake, Frank Heyen, Michael Becher, Maurice Koch, Daniel Weiskopf, and Kuno Kurzhals. 2024. NMF-Based Analysis of Mobile Eye-Tracking Data. In 2024 Symposium on Eye Tracking Research and Applications (ETRA ’24), June 4-7, 2024, Glasgow, United Kingdom. ACM, New York, NY, USA, 9 pages. doi: 10.1145/3649902.3653518.Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections, and . Software, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections", and . Dataset, (2024)Related to: T. Munz-Körner, D. Weiskopf, Exploring visual quality of multidimensional time series projections, Visual Informatics (2024). doi: 10.1016/j.visinf.2024.04.004.
 

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