TU Wien Informatics

20 Years

Davide Ceneda

Projektass. Dr.techn. / BSc MSc

Research Focus

Davide Ceneda

About

Guidance, Visual Analytics, Information Visualization, Time and Time oriented data

Role

2024

  • TimeLighting: Guidance-enhanced Exploration of 2D Projections of Temporal Graphs / 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
    Projects: ArtVis (2022–2025) / DoRIAH (2020–2024) / GuidedVA (2020–2024)
  • Guided visual analytics for image selection in time and space / 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
    Download: PDF (4.78 MB)
    Projects: DoRIAH (2020–2024) / GuidedVA (2020–2024) / KnoVA (2018–2022)

2023

2022

2021

2020

  • Guide Me in Analysis: A Framework for Guidance Designers / 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
  • Guidance-enriched visual analytics / Ceneda, D. (2020). Guidance-enriched visual analytics [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.84743
    Download: PDF (5.48 MB)
  • COVIs: Supporting Temporal Visual Analysis of Covid-19 Events Usable in Data-Driven Journalism / 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

2019

2018

  • Guidance or No Guidance? A Decision Tree Can Help / 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
  • The Circle Of Thrones: Conveying the Story of Game of Thrones Using Radial Infographics / 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, Deutschland, EU. http://hdl.handle.net/20.500.12708/86757
  • Guided Visual Exploration of Cyclical Patterns in Time-series / 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, EU. IEEE Digital Library. http://hdl.handle.net/20.500.12708/57468

2017

  • Characterizing Guidance in Visual Analytics / 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
  • Amending the Characterization of Guidance in Visual Analytics / 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

2016

  • Characterizing Guidance in Visual Analytics / 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
  • Guiding the Visualization of Time-oriented Data / 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