2024
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Shu, X., Pister, A., Tang, J., Chevalier, F., & Bach, B. (2024).. Does This Have a Particular Meaning? Interactive Pattern Explanation for Network Visualizations. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.01272.
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Wang, J., Shu, X., Bach, B., & Hinrichs, U. (2024). Visualization atlases: Explaining and exploring complex topics through data, visualization, and narration. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://arxiv.org/pdf/2408.07483.
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Zhongsu Luo, Kai Xiong, Jiajun Zhu, Ran Chen, Xinhuan Shu, Di Weng, Yingcai Wu (2024). Ferry: Toward Better Understanding of Input/Output Space for Data Wrangling Scripts. IEEE Transactions on Visualization and Computer Graphics (VIS’24). https://ieeexplore.ieee.org/document/10670464.
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Daniel Archambault, Giuseppe Liotta, Martin Nöllenburg, Tommaso Piselli, Alessandra Tappini and Markus Wallinger (alphabetical order listing of authors). Bundling-Aware Graph Drawing. Graph Drawing
and Network Visualization (GD ’24), 2024. https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GD.2024.15 -
Vago, B., Archambault, D. and Arleo, A. (2024), DynTrix: A Hybrid Representation for Dynamic Graphs. Computer Graphics Forum (EuroVis ’24), 43: e15076. https://doi.org/10.1111/cgf.15076 https://diglib.eg.org/handle/10.1111/cgf15076.
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Yanwei Huang, Yurun Yang, Xinhuan Shu, Ran Chen, Di Weng, and Yingcai Wu. 2024. Table Illustrator: Puzzle-based interactive authoring of plain tables. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). https://doi.org/10.1145/3613904.3642415
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Rottmann, P., Rodgers, P., Yan, X., Archambault, D., Wang, B. and Haunert, J.-H. (2024), Generating Euler Diagrams Through Combinatorial Optimization. Computer Graphics Forum, 43: e15089. https://doi.org/10.1111/cgf.15089 https://diglib.eg.org/handle/10.1111/cgf15089.
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Z. Huang, D. Archambault, R. Borgo, and A. Kerren (2024), Matrix Snap&Go: Visualization of Paths on Matrices. Proceedings of EuroVis Short papers https://diglib.eg.org/handle/10.2312/evs20241058.
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Ruddle, R., Cheshire, J. & Johansson Fernstad, S. (2024). A Practical Guide to Characterising Data and Investigating Data Quality. University of Leeds. https://doi.org/10.5518/1481
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Kirk, C., Küderle, A., Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Van Gelder, L. (2024). Mobilise-D insights to estimate real-world walking speed in multiple conditions with a wearable device. Scientific Reports, 14(1), 1754. https://doi.org/10.1038/s41598-024-51766-5
2023
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Keogh, A., Mc Ardle, R., Diaconu, M. G., Ammour, N., Arnera, V., Balzani, F., Brittain, G., Buckley, E., Buttery, S., Cantu, A., Corriol-Rohou, S., Delgado-Ortiz, L., Duysens, J., Forman-Hardy, T., Gur-Arieh, T., Hamerlijnck, D., Linnell, J., Leocani, L., McQuillan, T., … Mobilise-D consortium. (2023). Mobilizing patient and public involvement in the development of real-world digital technology solutions: Tutorial. Journal of Medical Internet Research, 25, e44206. https://doi.org/10.2196/44206
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Alzahrani, H. & Johansson Fernstad, S. (2023). An investigation into various visualization tools for complex biological networks. Information Visualization, 22(4), 323-339. https://doi.org/10.1177/14738716231181545
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Kirk, C., Kuederle, A., Mico-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Soltani, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … Din, S. D. (2023). Estimating real-world walking speed from a single wearable device: Analytical pipeline, results and lessons learnt from the Mobilise-D technical validation study. https://doi.org/10.21203/rs.3.rs-2965670/v1
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Romijnders, R., Salis, F., Hansen, C., Küderle, A., Paraschiv-Ionescu, A., Cereatti, A., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Bonci, T., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., Chiari, L., D’Ascanio, I., … Maetzler, W. (2023). Ecological validity of a deep learning algorithm to detect gait events from real-life walking bouts in mobility-limiting diseases. Frontiers in Neurology, 14, 1247532. https://doi.org/10.3389/fneur.2023.1247532
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Ruddle, R. A., Cheshire, J., & Johansson Fernstad, S. (2023). Tasks and Visualizations Used for Data Profiling: A Survey and Interview Study. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2023.3234337
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Cantu, A., Micó-Amigo, M. E., Del Din, S., & Fernstad, S. J. (2023). Parallel Assemblies Plot, a visualization tool to explore categorical and quantitative data: Application to digital mobility outcomes. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 21–30. https://doi.org/10.1109/PacificVis56936.2023.00010
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Micó-Amigo, M. E., Bonci, T., Paraschiv-Ionescu, A., Ullrich, M., Kirk, C., Soltani, A., Küderle, A., Gazit, E., Salis, F., Alcock, L., Aminian, K., Becker, C., Bertuletti, S., Brown, P., Buckley, E., Cantu, A., Carsin, A.-E., Caruso, M., Caulfield, B., … for the Mobilise-D consortium. (2023). Assessing real-world gait with digital technology? Validation, insights and recommendations from the Mobilise-D consortium. Journal of NeuroEngineering and Rehabilitation, 20(1), 78. https://doi.org/10.1186/s12984-023-01198-5
2022
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Koc, K., McGough, A. S., & Johansson Fernstad, S. (2022). PeaGlyph: Glyph design for investigation of balanced data structures. Information Visualization, 21(1), 74-92. https://doi.org/10.1177/14738716211050602
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Macquisten, A., Smith, A. M., & Johansson Fernstad, S. (2022). Hierarchical Visualization for Exploration of Large and Small Hierarchies. In Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery (pp. 587-612). Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-93119-3_23
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Gozzi, Z., Peysakhovich, V., Cantu, A., & Causse, M. (2022). Behavioral and physiological assessment of a virtual reality version of the matb-ii task: Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 77–87. https://doi.org/10.5220/0010912100003124
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Garner, H. & Johansson Fernstad, S. (2022) Comparative Evaluation of the Scatter Plot Matrix and Parallel Coordinates Plot Matrix. In 2022 26th International Conference on Information Visualization (IV). IEEE. https://doi.org/10.1109/IV56949.2022.00027
2021
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Johansson Fernstad, S., & Johansson Westberg, J. (2021). To Explore What Isn’t There—Glyph-Based Visualization for Analysis of Missing Values. IEEE Transactions on Visualization and Computer Graphics, 28(10), 3513-3529. https://doi.org/10.1109/TVCG.2021.3065124
2020
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Johansson Fernstad, S., Macquisten, A., Berrington, J. E., Embleton, N. D., & Stewart, C. J. (2020). Quality Metrics to Guide Visual Analysis of High Dimensional Genomics Data. In EuroVA@ Eurographics/EuroVis (pp. 31-35). https://doi.org/10.2312/eurova.20201083
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Macquisten, A., Smith, A. M., & Johansson Fernstad, S. (2020, September). Evaluation of hierarchical visualization for large and small hierarchies. In 2020 24th International Conference Information Visualisation (IV) (pp. 166-173). IEEE. https://doi.org/10.1109/IV51561.2020.00036
2019
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Holliman, N. S., Coltekin, A., Fernstad, S. J., McLaughlin, L., Simpson, M. D., & Woods, A. J. (2022). Visual entropy and the visualization of uncertainty (arXiv:1907.12879). arXiv. https://doi.org/10.48550/arXiv.1907.12879
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Johansson Fernstad, S. (2019). To identify what is not there: A definition of missingness patterns and evaluation of missing value visualization. Information Visualization, 18(2), 230-250. https://doi.org/10.1177/1473871618785387
2018
2017
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Grube, M., Gaya, E., Kauserud, H., Smith, A. M., Avery, S. V., Fernstad, S. J., … & Bendiksby, M. (2017). The next generation fungal diversity researcher. Fungal Biology Reviews, 31(3), 124-130. https://doi.org/10.1016/j.fbr.2017.02.001