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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.
 

Other publications of authors with the same name

Tulip 5., , , , , , , , , and 2 other author(s). Encyclopedia of Social Network Analysis and Mining. 2nd Ed., Springer, (2018)Grouse: Feature-Based, Steerable Graph Hierarchy Exploration., , and . EuroVis, page 67-74. Eurographics Association, (2007)Dynamic Network Plaid: A Tool for the Analysis of Dynamic Networks., , and . CHI, page 130. ACM, (2019)Crowdsourcing Versus the Laboratory: Towards Human-centered Experiments Using the Crowd, , , , , , and . volume Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments. Dagstuhl Seminar 15481, Dagstuhl Castle, Germany, November 22 – 27, 2015, Revised Contributions of Information Systems and Applications, incl. Internet/Web, and HCI, page 6-26. Springer International Publishing, (2017)The mental map and memorability in dynamic graphs., and . PacificVis, page 89-96. IEEE Computer Society, (2012)Computing the Set of all the Distant Horizons of a Terrain., , and . Int. J. Comput. Geometry Appl., 15 (6): 547-564 (2005)On the effective visualisation of dynamic attribute cascades., and . Information Visualization, 15 (1): 51-63 (2016)Proceedings of the 27th International Symposium on Graph Drawing and Network Visualization (GD 2019)., and . CoRR, (2019)Nonuniform Timeslicing of Dynamic Graphs Based on Visual Complexity., , , , , and . VIS, page 241-245. IEEE, (2019)Interactive searching and visualization of patterns in attributed graphs., , and . Graphics Interface, page 113-120. ACM / Canadian Human-Computer Communications Society, (2010)