Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Daniel Fekete"'
Autor:
Philippe, Caillou, Jonas, Renault, Jean-Daniel, Fekete, Anne-Catherine, Letournel, Michèle, Sebag
We describe CARTOLABE, a web-based multi-scale system for visualizing and exploring large textual corpora based on topics, introducing a novel mechanism for the progressive visualization of filtering queries. Initially designed to represent and navig
Externí odkaz:
http://arxiv.org/abs/2003.00975
Autor:
Jean-Daniel Fekete
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/0df4c2aab26846e89c81ca08274b89c7
Autor:
Sara Di Bartolomeo, Alexis Pister, Paolo Buono, Catherine Plaisant, Cody Dunne, Jean‐Daniel Fekete
Publikováno v:
Computer Graphics Forum
Computer Graphics Forum, 2022, EuroVis 2022-Conference Proceedings, 41 (3), pp.1467-8659. ⟨10.1111/cgf.14538⟩
Computer Graphics Forum, 2022, EuroVis 2022-Conference Proceedings, 41 (3), pp.1467-8659. ⟨10.1111/cgf.14538⟩
International audience; Hypergraphs are a generalization of graphs in which edges (hyperedges) can connect more than two vertices-as opposed to ordinary graphs where edges involve only two vertices. Hypergraphs are a fairly common data structure but
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2023, 29 (1), pp.407-417. ⟨10.1109/TVCG.2022.3209426⟩
HAL
IEEE Transactions on Visualization and Computer Graphics, 2023, 29 (1), pp.407-417. ⟨10.1109/TVCG.2022.3209426⟩
HAL
International audience; We conduct a user study to quantify and compare user performance for a value comparison task using four bar chart designs, where the bars show the mean values of data loaded progressively and updated every second (progressive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1c32b593f200a4cb3cc89e858651c62
https://inria.hal.science/hal-03738461v2/document
https://inria.hal.science/hal-03738461v2/document
Autor:
Sereno, Mickaël, Jean-Daniel Fekete
All the data analyses scripts used in the paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72094b3d431d1726acee0aa49c02e7ce
Autor:
Bongshin Lee, Silvia Miksch, Anders Ynnerman, Anastasia Bezerianos, Jian Chen, Wei Chen, Christopher Collins, Michael Gleicher, Eduard Groller, Alexander Lex, Bernhard Preim, Jinwook Seo, Ruediger Westermann, Jing Yang, Xiaoru Yuan, Han-Wei Shen, Jean-Daniel Fekete, Shixia Liu
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:xiv-xxiii
Autor:
Gaelle Richer, Alexis Pister, Moataz Abdelaal, Jean-Daniel Fekete, Michael Sedlmair, Daniel Weiskopf
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, In press, ⟨10.1109/TVCG.2022.3231230⟩
IEEE Transactions on Visualization and Computer Graphics, In press, ⟨10.1109/TVCG.2022.3231230⟩
International audience; We introduce a conceptual model for scalability designed for visualization research. With this model, we systematically analyze over 120 visualization publications from 1990-2020 to characterize the different notions of scalab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7b89053add3479c7727415c220c2d03
https://inria.hal.science/hal-03820394
https://inria.hal.science/hal-03820394
Publikováno v:
Making with Data ISBN: 9781003264903
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9079df7319afcdb08e7f3ff125537958
https://doi.org/10.1201/9781003264903-20
https://doi.org/10.1201/9781003264903-20
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2019, ⟨10.1109/TVCG.2019.2963018⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, ⟨10.1109/TVCG.2019.2963018⟩
IEEE Transactions on Visualization and Computer Graphics, 2019, ⟨10.1109/TVCG.2019.2963018⟩
IEEE Transactions on Visualization and Computer Graphics, Institute of Electrical and Electronics Engineers, 2019, ⟨10.1109/TVCG.2019.2963018⟩
International audience; We present a systematic review of visual analytics tools used for the analysis of blockchains-related data. The blockchain concept has recently received considerable attention and spurred applications in a variety of domains.
Autor:
Mashael AlKadi, Vanessa Serrano, James Scott-Brown, Catherine Plaisant, Jean-Daniel Fekete, Uta Hinrichs, Benjamin Bach
Publikováno v:
Alkadi, M, Serrano, V, Scott-Brown, J, Plaisant, C, Fekete, J-D, Hinrichs, U & Bach, B 2023, ' Understanding Barriers to Network Exploration with Visualization: A Report from the Trenches ', IEEE Transactions on Visualization and Computer Graphics, vol. 29, no. 1, pp. 907-917 . https://doi.org/10.1109/TVCG.2022.3209487
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2023, 29 (1), pp.907-917. ⟨10.1109/TVCG.2022.3209487⟩
IEEE Transactions on Visualization and Computer Graphics
IEEE Transactions on Visualization and Computer Graphics, 2023, 29 (1), pp.907-917. ⟨10.1109/TVCG.2022.3209487⟩
This article reports on an in-depth study that investigates barriers to network exploration with visualizations. Networkvisualization tools are becoming increasingly popular, but little is known about how analysts plan and engage in the visual explor