ZORA Publication List
Publications
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2025
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Matt, M., Sedlakova, J., Bernard, J., Zeppelzauer, M., & Waldner, M. (2025).
Scalable Class-Centric Visual Interactive Labeling
Computers & Graphics, 129, 104240. https://doi.org/10.1016/j.cag.2025.104240
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Bernard, J., Barth, C.-M., Cuba, E., Meier, A., Peiris, Y., & Shneiderman, B. (2025).
IVESA - Visual Analysis of Time-Stamped Event Sequences
IEEE Transactions on Visualization and Computer Graphics, 31, 2235–2256. https://doi.org/10.1109/tvcg.2024.3382760
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Sedlakova, J., Stanikić, M., Gille, F., Bernard, J., Horn, A. B., Wolf, M., Haag, C., Floris, J., Morgenshtern, G., Schneider, G., Zumbrunn Wojczyńska, A., Mouton Dorey, C., Ettlin, D. A., Gero, D., Friemel, T., Lu, Z., Papadopoulos, K., Schläpfer, S., Wang, N., & von Wyl, V. (2025).
Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique
JMIR Medical Education, 11, e56369. https://doi.org/10.2196/56369
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2024
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Morgenshtern, G., Rutishauser, Y., Haag, C., von Wyl, V., & Bernard, J. (2024).
MS Pattern Explorer: interactive visual exploration of temporal activity patterns for multiple sclerosis
Journal of the American Medical Informatics Association (JAMIA), 31, 2496–2506. https://doi.org/10.1093/jamia/ocae230
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Arleo, A., Chen, A. T., Gotz, D., Kandaswamy, S., & Bernard, J. (2024).
Reflections on interactive visualization of electronic health records: past, present, future
Journal of the American Medical Informatics Association (JAMIA), 31, 2423–2428. https://doi.org/10.1093/jamia/ocae249
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Wyss, A., Morgenshtern, G., Hirsch-Hüsler, A., & Bernard, J. (2024).
DaedalusData: Exploration, Knowledge Externalization and Labeling of Particles in Medical Manufacturing — A Design Study
IEEE Transactions on Visualization and Computer Graphics, 31, 54–64. https://doi.org/10.1109/tvcg.2024.3456329
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Al-Hazwani, I., Luo, T., Inel, O., Ricci, F., El-Assady, M., & Bernard, J. (2024).
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
Proceedings of the ACM Conference on User Modeling, Adaptation and Personalization, 292–304. https://doi.org/10.1145/3631700.3665183
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Daniore, P., Nittas, V., Haag, C., Bernard, J., Gonzenbach, R., & von Wyl, V. (2024).
From wearable sensor data to digital biomarker development: ten lessons learned and a framework proposal
Npj Digital Medicine, 7, 161. https://doi.org/10.1038/s41746-024-01151-3
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Rogers, J., Anastacio, M., Bernard, J., Chakhchoukh, M., Faust, R., Kerren, A., Koch, S., Kotthoff, L., Turkay, C., & Wall, E. (2024).
Visualization and Automation in Data Science: Exploring the Paradox of Humans-in-the-Loop
Proceedings of the IEEE Visualization in Data Science, 1–5. https://doi.org/10.1109/VDS63897.2024.00005
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2023
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Barth, C.-M., Schmid, J., Al-Hazwani, I., Sachdeva, M., Cibulski, L., & Bernard, J. (2023).
How applicable are attribute-based approaches for human-centered ranking creation?
Computers & Graphics, 114, 45–58. https://doi.org/10.1016/j.cag.2023.05.004
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Eirich, J., Jäckle, D., Sedlmair, M., Wehner, C., Schmid, U., Bernard, J., & Schreck, T. (2023).
ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories
IEEE Transactions on Visualization and Computer Graphics, 29, 3441–3457. https://doi.org/10.1109/tvcg.2023.3279857
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Morgenshtern, G., Verma, A., Tonekaboni, S., Greer, R., Bernard, J., Mazwi, M., Goldenberg, A., & Chevalier, F. (2023).
RiskFix: Supporting Expert Validation of Predictive Timeseries Models in High-Intensity Settings
EuroVisShort, 13–17. https://doi.org/10.2312/evs.20231036
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Al-Hazwani, I., Alahmadi, T., Wardatzky, K., Inel, O., El-Assady, M., & Bernard, J. (2023).
Interaction Tasks for Explainable Recommender Systems
EuroVisPosters, 37–39. https://doi.org/10.2312/evp.20231062
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