Publications

ZORA Publication List

Publications

• 2023

  • Sachdeva, M., Blum, M., Stricker, Y., Schreck, T., Mumenthaler, R., & Bernard, J. (2023). ORD-Xplore: Bridging Open Research Data Collections through Modality Abstractions EuroVisPosters, 49–51. https://doi.org/10.2312/evp.20231065
  • Arnórsson, S., Abeillon, F., Al-Hazwani, I., Bernard, J., Hauptmann, H., & El-Assady, M. (2023). Why am I reading this? Explaining Personalized News Recommender Systems Proceedings of the EuroVis Workshop on Visual Analytics, 67–72. https://doi.org/10.2312/eurova.20231099

• 2022

  • Ruddle, R. A., Bernard, J., Lucke-Tieke, H., May, T., & Kohlhammer, J. (2022). The Effect of Alignment on People’s Ability to Judge Event Sequence Similarity. IEEE Transactions on Visualization and Computer Graphics, 28, 3070–3081. https://doi.org/10.1109/tvcg.2021.3050497
  • Hinterreiter, A., Ruch, P., Stitz, H., Ennemoser, M., Bernard, J., Strobelt, H., & Streit, M. (2022). ConfusionFlow: A Model-Agnostic Visualization for Temporal Analysis of Classifier Confusion IEEE Transactions on Visualization and Computer Graphics, 28, 1222–1236. https://doi.org/10.1109/tvcg.2020.3012063
  • Hazwan, I. A., Schmid, J., Sachdeva, M., & Bernard, J. (2022). A Design Space for Explainable Ranking and Ranking Models EuroVisPosters, 35–37. https://doi.org/10.2312/evp.20221114
  • Eirich, J., Bonart, J., Jäckle, D., Sedlmair, M., Schmid, U., Fischbach, K., Schreck, T., & Bernard, J. (2022). IRVINE: A Design Study on Analyzing Correlation Patterns of Electrical Engines IEEE Transactions on Visualization and Computer Graphics, 28, 11–21. https://doi.org/10.1109/tvcg.2021.3114797
  • Schmid, J., Cibulski, L., Al-Hazwani, I., & Bernard, J. (2022). RankASco: A Visual Analytics Approach to Leverage Attribute-Based User Preferences for Item Rankings Proceedings of the EuroVis Workshop on Visual Analytics, 7–11. https://doi.org/10.2312/eurova.20221072
  • Liu, Z., Wang, Y., Bernard, J., & Munzner, T. (2022). Visualizing Graph Neural Networks with CorGIE: Corresponding a Graph to Its Embedding IEEE Transactions on Visualization and Computer Graphics, 28, 2500–2516. https://doi.org/10.1109/TVCG.2022.3148197
  • Al-Hazwani, I., Morgenshtern, G., Rutishauser, Y., El-Assady, M., & Bernard, J. (2022). What Shall We Watch Tonight?: Why sometimes your favourite streaming service just cannot manage to recommend anything interesting IEEE VIS Workshop on Visualization for AI Explainability, Oklahoma City. https://ibrahimalhazwani.github.io/distill-xai/
  • Peiris, Y., Barth, C.-M., Huang, E. M., & Bernard, J. (2022). A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences 66–76. https://doi.org/10.1109/BELIV57783.2022.00012
  • Eirich, J., Koutroulis, G., Mutlu, B., Jäckle, D., Kern, R., Schreck, T., & Bernard, J. (2022). ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines IEEE Computer Graphics and Applications, 42, 68–80. https://doi.org/10.1109/MCG.2022.3155306
  • Beckmann, R., Blaga, C., El-Assady, M., Zeppelzauer, M., & Bernard, J. (2022). Interactive Visual Explanation of Incremental Data Labeling (J. Bernard & M. Angelini, Eds.; pp. 13–17). Eurographics. https://doi.org/10.2312/eurova.20221073

• 2021

  • Sevastjanova, R., Jentner, W., Sperrle-Roth, F., Kehlbeck, R., Bernard, J., & El-Assady, M. (2021). QuestionComb: A Gamification Approach for the Visual Explanation of Linguistic Phenomena through Interactive Labeling ACM Transactions on Interactive Intelligent Systems, 11, 19. https://doi.org/10.1145/3429448
  • Burmeister, J., Bernard, J., & Kohlhammer, J. (2021). LFPeers: Temporal Similarity Search in Covid-19 Data (#PLACEHOLDER_PARENT_METADATA_VALUE# & #PLACEHOLDER_PARENT_METADATA_VALUE#, Eds.; pp. 49–53). Eurographics. https://doi.org/10.2312/eurova.20211098
  • Bernard, J., Hutter, M., Zeppelzauer, M., Sedlmair, M., & Munzner, T. (2021). ProSeCo: Visual analysis of class separation measures and dataset characteristics Computers & Graphics, 96, 48–60. https://doi.org/10.1016/j.cag.2021.03.004
  • Sperrle-Roth, F., Jeitler, A., Bernard, J., Keim, D., & El-Assady, M. (2021). Co-adaptive visual data analysis and guidance processes Computers & Graphics, 100, 93–105. https://doi.org/10.1016/j.cag.2021.06.016
  • Grossmann, N., Bernard, J., Sedlmair, M., & Waldner, M. (2021). Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation 61–65. https://doi.org/10.1109/VIS49827.2021.9623326
  • Grossmann, N., Bernard, J., Sedlmair, M., & Waldner, M. (2021). Does the Layout Really Matter? A Study on Visual Model Accuracy Estimation 61–65. https://doi.org/10.1109/VIS49827.2021.9623326
  • Schmid, J., & Bernard, J. (2021). A Taxonomy of Attribute Scoring Functions 31–35. https://doi.org/10.2312/eurova.20211095
  • Schader, P., Beckmann, R., Graner, L., & Bernard, J. (2021). LayoutExOmizer: Interactive Exploration and Optimization of 2D Data Layouts 99–107. https://doi.org/10.2312/vmv.20211376

Pagination