Jean-Daniel Fekete
Overview
Explore the profile of Jean-Daniel Fekete including associated specialties, affiliations and a list of published articles.
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Articles
42
Citations
87
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Recent Articles
1.
Chen X, Wang Y, Bao H, Lu K, Jo J, Fu C, et al.
IEEE Trans Vis Comput Graph
. 2024 Nov;
31(2):1631-1644.
PMID: 39527427
We present a novel visualization-driven illumination model for density plots, a new technique to enhance density plots by effectively revealing the detailed structures in high- and medium-density regions and outliers...
2.
Ulmer A, Angelini M, Fekete J, Kohlhammer J, May T
IEEE Trans Vis Comput Graph
. 2023 Dec;
30(9):6447-6467.
PMID: 38145517
Currently, growing data sources and long-running algorithms impede user attention and interaction with visual analytics applications. Progressive visualization (PV) and visual analytics (PVA) alleviate this problem by allowing immediate feedback...
3.
Richer G, Pister A, Abdelaal M, Fekete J, Sedlmair M, Weiskopf D
IEEE Trans Vis Comput Graph
. 2023 Apr;
30(7):3314-3330.
PMID: 37015637
We introduce a conceptual model for scalability designed for visualization research. With this model, we systematically analyze over 120 visualization publications from 1990 to 2020 to characterize the different notions...
4.
Patil A, Richer G, Jermaine C, Moritz D, Fekete J
IEEE Trans Vis Comput Graph
. 2022 Sep;
29(1):407-417.
PMID: 36166544
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...
5.
AlKadi M, Serrano V, Scott-Brown J, Plaisant C, Fekete J, Hinrichs U, et al.
IEEE Trans Vis Comput Graph
. 2022 Sep;
29(1):907-917.
PMID: 36155459
This article reports on an in-depth study that investigates barriers to network exploration with visualizations. Network visualization tools are becoming increasingly popular, but little is known about how analysts plan...
6.
Chen X, Zhang J, Fu C, Fekete J, Wang Y
IEEE Trans Vis Comput Graph
. 2021 Sep;
28(1):593-603.
PMID: 34587089
We present a pyramid-based scatterplot sampling technique to avoid overplotting and enable progressive and streaming visualization of large data. Our technique is based on a multiresolution pyramid-based decomposition of the...
7.
Tovanich N, Pister A, Richer G, Valdivia P, Prieur C, Fekete J, et al.
IEEE Comput Graph Appl
. 2021 Jun;
42(4):89-102.
PMID: 34161239
We report on the process and design of our visual analytics graph analysis challenge winning entry. Specifically, our team addressed the IEEE VAST 2020 Mini-Challenge 1 that asked participants to...
8.
Kinkeldey C, Fekete J, Blascheck T, Isenberg P
IEEE Comput Graph Appl
. 2021 Apr;
42(1):84-94.
PMID: 33848242
We present BitConduite, a visual analytics approach for explorative analysis of financial activity within the Bitcoin network, offering a view on transactions aggregated by entities, i.e., by individuals, companies, or...
9.
Pister A, Buono P, Fekete J, Plaisant C, Valdivia P
IEEE Trans Vis Comput Graph
. 2020 Oct;
27(2):1775-1785.
PMID: 33095715
We propose a new approach-called PK-clustering-to help social scientists create meaningful clusters in social networks. Many clustering algorithms exist but most social scientists find them difficult to understand, and tools...
10.
Caillou P, Renault J, Fekete J, Letournel A, Sebag M
IEEE Comput Graph Appl
. 2020 Oct;
41(2):76-88.
PMID: 33095705
We describe Cartolabe, a web-based multiscale system for visualizing and exploring large textual corpora based on topics, introducing a novel mechanism for the progressive visualization of filtering queries. Initially designed...