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ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion Hinterreiter, A., Ruch, P., Stitz, H., Ennemoser, M., Bernard, J., Strobelt, H., Streit, M.
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IEEE Transactions on Visualization and Computer Graphics, 28(2): 1222-1236, 2022
Survey on the Analysis of User Interactions and Visualization Provenance
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Survey on the Analysis of User Interactions and Visualization Provenance K. Xu, A. Ottley, C. Walchshofer, M. Streit, R. Chang, and J. Wenskovitch. Survey on the Analysis of User Interactions and Visualization Provenance. Computer Graphics Forum, 39(3):757–783, 2020.doi: 10.1111/cgf.14035
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Search and Rescue with Airborne Optical Sectioning
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Search and Rescue with Airborne Optical Sectioning D. C. Schedl, I. Kurmi and O. Bimber, "Search and Rescue with Airborne Optical Sectioning", in Nature Machine Intelligence 2020, doi:10.1038/s42256-020-00261-3
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Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization I. Kurmi, D. C. Schedl and O. Bimber, "Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization," in IEEE Geoscience and Remote Sensing Letters, doi: 10.1109/LGRS.2020.2987471.
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Airborne Optical Sectioning for Nesting Observation Schedl, D. C., Kurmi, I., and Bimber, O., Airborne Optical Sectioning for Nesting Observation. Nature Sci. Rep. 10, 7254; 2020.
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InstanceFlow User Interface
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InstanceFlow: Visualizing the Evolution of
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Classifier Confusion at the Instance Level Pühringer, M., Hinterreiter, A., Streit, M.
2020 IEEE Visualization Conference (VIS), 2020, pp. 291-295, doi: 10.1109/VIS47514.2020.00065.
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Projective Latent Interventions for Understanding and Fine-Tuning Classifiers Hinterreiter, A., Streit M., Kainz, B. In: Cardoso J. et al. (eds), Lecture Notes in Computer Science, vol 12446. Interpretable and Annotation-Efficient Learning for Medical Image Computing (pp. 13-22). Springer, 2020. DOI: 10.1007/978-3-030-61166-8_2.
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