Journal Articles

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)
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)
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)
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)
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)
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)

Conference Proceedings Contributions

Burges, M., Zambanini, S., & Pirker, P. (2024). CHAI: Craters in Historical Aerial Images. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 8241–8250). https://doi.org/10.1109/WACV57701.2024.00807 ( reposiTUm)
Burges, M., Zambanini, S., & Sablatnig, R. (2024). Making Archives Searchable: Vision-Language Models for Classification of Historical Aerial Imagery. In GeoSearch ’24: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data (pp. 1–8). https://doi.org/10.1145/3681769.3698578 ( 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)
Burges, M., Zambanini, S., & Sablatnig, R. (2023). Exploring Learning-Based Approaches for Bomb Crater Detection in Historical Aerial Images. In Proceedings of the OAGM Workshop 2022 (pp. 60–66). https://doi.org/10.3217/978-3-85125-954-4-09 ( 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)

Books

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)

Presentations

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)
Burges, M. (2023, October 10). Self-Supervised Transfer Learning for Historical Aerial Images [Poster Presentation]. AI4EO Symposium 2023, München, Germany. ( 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)
Karel, W. (2022, December 6). Implicit / Deep Georeferencing of WWII Aerial Reconnaissance Images [Conference Presentation]. EuroSDR Workshop “Geoprocessing and Archiving of Historical Aerial Images,” Rome, Italy. ( reposiTUm)
Burges, M. (2022). Semi-Automatic Object Detection in Historical Aerial Images with a Human in the Loop [Conference Presentation]. 2. EuroSDR 2022, Rom, Italy. ( 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)

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)