Wissenschaftliche Artikel

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2024). Guided visual analytics for image selection in time and space. IEEE Transactions on Visualization and Computer Graphics, 30(1), 66–75. https://doi.org/10.1109/TVCG.2023.3326572 ( reposiTUm)
Schmidt, J., Pointner, B., & Miksch, S. (2024). Visual Analytics for Understanding Draco’s Knowledge Base. IEEE Transactions on Visualization and Computer Graphics, 30(1), 392–402. https://doi.org/10.1109/TVCG.2023.3326912 ( reposiTUm)
Pérez-Messina, I., Ceneda, D., & Miksch, S. (2024). Enhancing Visual Analytics systems with guidance: A task-driven methodology. COMPUTERS & GRAPHICS-UK, 125(Special Issue on Highlights from EuroVA 2023), Article 104121. https://doi.org/10.1016/j.cag.2024.104121 ( reposiTUm)
Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2024). TimeLighting: Guided Exploration of 2D Temporal Network Projections. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.34726/8209 ( reposiTUm)
Miksch, S., Di Ciccio, C., Soffer, P., & Weber, B. (2024). Visual Analytics Meets Process Mining: Challenges and Opportunities. IEEE Computer Graphics and Applications, 44(6), 132–141. https://doi.org/10.1109/MCG.2024.3456916 ( reposiTUm)
Di Ciccio, C., Miksch, S., Soffer, P., Weber, B., & Meroni, G. (2024). Human in the (Process) Mines. Dagstuhl Reports, 13(7), Article DagRep.13.7.1. https://doi.org/10.4230/DagRep.13.7.1 ( reposiTUm)
Sperrle, F., El-Assady, M., Arleo, A., & Ceneda, D. (2024). A Wizard of Oz Study of Guidance Strategies and Dynamics. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3418782 ( reposiTUm)
Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A heuristic approach for dual expert/end-user evaluation of guidance in visual analytics. IEEE Transactions on Visualization and Computer Graphics, 30(1), 997–1007. https://doi.org/10.1109/TVCG.2023.3327152 ( reposiTUm)
Sperrle, F., Ceneda, D., & Mennatallah El-Assady. (2022). Lotse: A Practical Framework for Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2022.3209393 ( reposiTUm)
Perez Messina, I. B., Ceneda, D., El-Assady, M., Miksch, S., & Sperrle, F. (2022). A Typology of Guidance Tasks in Mixed‐Initiative Visual Analytics Environments. Computer Graphics Forum, 41(3), 465–476. https://doi.org/10.1111/cgf.14555 ( reposiTUm)

Beiträge in Tagungsbänden

Filipov, V., Ceneda, D., Archambault, D., & Arleo, A. (2024). TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs. In M. A. Bekos & M. Chimani (Eds.), Graph Drawing and Network Visualization : 31st International Symposium, GD 2023, Isola delle Femmine, Palermo, Italy, September 20–22, 2023, Revised Selected Papers, Part I (pp. 231–245). Springer. https://doi.org/10.34726/5419 ( reposiTUm)
Perez Messina, I. B., Ceneda, D., Schetinger, V., & Miksch, S. (2024). Persistent Interaction: User-Generated Artefacts in Visual Analytics. In M. El-Assady & H.-J. Schulz (Eds.), EuroVA 2024 : EuroVis Workshop on Visual Analytics. The Eurographics Association. https://doi.org/10.2312/eurova.20241106 ( reposiTUm)
Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023). A Methodology for Task-Driven Guidance Design. In M. Angelini & M. El-Assady (Eds.), EuroVA 2023 : EuroVis Workshop on Visual Analytics (pp. 37–42). The Eurographics Association. https://doi.org/10.2312/eurova.20231094 ( reposiTUm)

Bücher

Aigner, W., Miksch, S., Schumann, H., & Tominski, C. (2023). Visualization of Time-Oriented Data (2.). Springer London. https://doi.org/10.1007/978-1-4471-7527-8 ( reposiTUm)

Präsentationen

Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023, October 26). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/190245 ( reposiTUm)
Piccolotto, N., Bögl, M., Mühlmann, C., Nordhausen, K., Filzmoser, P., Schmidt, J., & Miksch, S. (2023, October 26). Data Type Agnostic Visual Sensitivity Analysis [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. http://hdl.handle.net/20.500.12708/189927 ( reposiTUm)
Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2022, June 14). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/136164 ( reposiTUm)

Preprints

Ceneda, D., Collins, C., El-Assady, M., Miksch, S., Tominski, C., & Arleo, A. (2023). A Heuristic Approach for Dual Expert/End-User Evaluation of Guidance in Visual Analytics. arXiv. https://doi.org/10.34726/5043 ( reposiTUm)