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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)

Musleh, M., Ceneda, D., Ehlers, H., & Raidou, R. G. (2024). ConAn: Measuring and Evaluating User Confidence in Visual Data Analysis Under Uncertainty. Computer Graphics Forum. https://doi.org/10.1111/cgf.15272 ( 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)

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)

Stoiber, C., Ceneda, D., Wagner, M., Schetinger, V., Gschwandtner, T., Streit, M., Miksch, S., & Aigner, W. (2022). Perspectives of Visualization Onboarding and Guidance in VA. Visual Informatics, 6(1), 68–83. https://doi.org/10.1016/j.visinf.2022.02.005 ( 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)

Ceneda, D., Arleo, A., Gschwandtner, T., & Miksch, S. (2021). Show Me Your Face: Towards an Automated Method to Provide Timely Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 28(12), 4570–4581. https://doi.org/10.1109/tvcg.2021.3094870 ( reposiTUm)

Ceneda, D., Andrienko, N., Andrienko, G., Gschwandtner, T., Miksch, S., Piccolotto, N., Schreck, T., Streit, M., Suschnigg, J., & Tominski, C. (2020). Guide Me in Analysis: A Framework for Guidance Designers. Computer Graphics Forum, 39(6), 269–288. https://doi.org/10.1111/cgf.14017 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). You get by with a little help: The effects of variable guidance degrees on performance and mental state. Visual Informatics, 3(4), 177–191. https://doi.org/10.1016/j.visinf.2019.10.005 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A review of guidance approaches in visual data analysis: A multifocal perspective. Computer Graphics Forum, 38(3), 861–879. https://doi.org/10.1111/cgf.13730 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Characterizing Guidance in Visual Analytics. IEEE Transactions on Visualization and Computer Graphics, 23(1), 111–120. https://doi.org/10.1109/tvcg.2016.2598468 ( reposiTUm)

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)

A. Leite, R., Schetinger, V., Ceneda, D., Henz, B., & Miksch, S. (2020). COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism. In E. Bertini, R. Bujack, C. Collins, W. Dou, A. Lex, & T. Ropinski (Eds.), 2020 IEEE VIsualization Conference (VIS) - short paper (p. 1). IEEE. http://hdl.handle.net/20.500.12708/58208 ( reposiTUm)

Ceneda, D., Gschwandtner, T., Miksch, S., & Tominski, C. (2018). Guided Visual Exploration of Cyclical Patterns in Time-series. In Visualization in Data Science. Visualization in Data Science (VDS at IEEE VIS 2018), Berlin, Germany. IEEE Digital Library. http://hdl.handle.net/20.500.12708/57468 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Streit, M., & Tominski, C. (2018). Guidance or No Guidance? A Decision Tree Can Help. In C. Tominski & T. von Landesberger (Eds.), EuroVis Workshop on Visual Analytics (EuroVA) (pp. 19–23). Eurographics Digital Library. https://doi.org/10.2312/eurova.20181107 ( reposiTUm)

Ceneda, D., Aigner, W., Bögl, M., Gschwandtner, T., & Miksch, S. (2016). Guiding the Visualization of Time-oriented Data. In Proceedings of IEEE VIS. IEEE Visualization, Minneapolis, USA, Austria. http://hdl.handle.net/20.500.12708/56578 ( reposiTUm)

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)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2023, October 25). Guided Visual Analytics for Image Selection in Time and Space [Conference Presentation]. IEEE VIS 2023, Melbourne, Australia. ( 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)

Perez Messina, I. B., Ceneda, D., & Miksch, S. (2022, June 16). A Typology of Guidance in Mixed-Initiative Visual Analytics Environments [Conference Presentation]. EuroVis 2022, Rom, Italy. http://hdl.handle.net/20.500.12708/148085 ( reposiTUm)

Ceneda, D., Gschwandtner, T., & Miksch, S. (2019). A Review of Guidance Approaches in Visual Data Analysis:A Multifocal Perspective. 21st EG/VGTC Conference on Visualization (EuroVis 2019), Porto, Portugal. http://hdl.handle.net/20.500.12708/86875 ( reposiTUm)

Filipov, V., Ceneda, D., Koller, M., Arleo, A., & Miksch, S. (2018). The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics. VISCOMM 2018, Berlin, Germany. http://hdl.handle.net/20.500.12708/86757 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2016). Characterizing Guidance in Visual Analytics (p. 120). http://hdl.handle.net/20.500.12708/86330 ( 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. arXiv. https://doi.org/10.34726/5043 ( reposiTUm)

Ceneda, D., Gschwandtner, T., May, T., Miksch, S., Schulz, H.-J., Streit, M., & Tominski, C. (2017). Amending the Characterization of Guidance in Visual Analytics. arXiv. https://doi.org/10.48550/arXiv.1710.06615 ( reposiTUm)

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