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Dr. rer. nat. Daniel Hernandez University of Stuttgart

Visualizing How-Provenance Explanations for SPARQL Queries, , , und . Proceedings of the ACM Web Conference 2023, Seite 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, , , und . 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, , , und . 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, und . 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", und . 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.
 

Weitere Publikationen von Autoren mit dem selben Namen

Design and Evaluation of Interactive Proofreading Tools for Connectomics., , , , , , und . IEEE Trans. Vis. Comput. Graph., 20 (12): 2466-2475 (2014)Scalable Interactive Visualization for Connectomics., , , , , , , , , und 9 andere Autor(en). Informatics, 4 (3): 29 (2017)Guided Proofreading of Automatic Segmentations for Connectomics., , , , und . CVPR, Seite 9319-9328. IEEE Computer Society, (2018)CHIPS - A Service for Collecting, Organizing, Processing, and Sharing Medical Image Data in the Cloud., , , , , , und . DMAH@VLDB, Volume 10494 von Lecture Notes in Computer Science, Seite 29-35. Springer, (2017)Evaluating 'Graphical Perception' with CNNs., , und . IEEE Trans. Vis. Comput. Graph., 25 (1): 641-650 (2019)NeuroBlocks - Visual Tracking of Segmentation and Proofreading for Large Connectomics Projects., , , , , , und . IEEE Trans. Vis. Comput. Graph., 22 (1): 738-746 (2016)Guided Proofreading of Automatic Segmentations for Connectomics., , , , und . CoRR, (2017)Icon: An Interactive Approach to Train Deep Neural Networks for Segmentation of Neuronal Structures., , , , , , und . CoRR, (2016)Fast Mitochondria Segmentation for Connectomics., , , und . CoRR, (2018)Compresso: Efficient Compression of Segmentation Data for Connectomics., , , , und . MICCAI (1), Volume 10433 von Lecture Notes in Computer Science, Seite 781-788. Springer, (2017)