Zobrazeno 1 - 10
of 219
pro vyhledávání: '"Gotz, David"'
Providing effective guidance for users has long been an important and challenging task for efficient exploratory visual analytics, especially when selecting variables for visualization in high-dimensional datasets. Correlation is the most widely appl
Externí odkaz:
http://arxiv.org/abs/2408.16078
"Correlation does not imply causation" is a famous mantra in statistical and visual analysis. However, consumers of visualizations often draw causal conclusions when only correlations between variables are shown. In this paper, we investigate factors
Externí odkaz:
http://arxiv.org/abs/2408.16077
Publikováno v:
Information Visualization 2024; 23(2): 197-214
Counterfactuals -- expressing what might have been true under different circumstances -- have been widely applied in statistics and machine learning to help understand causal relationships. More recently, counterfactuals have begun to emerge as a tec
Externí odkaz:
http://arxiv.org/abs/2401.08822
Publikováno v:
IEEE Computer Graphics and Applications 2024; 44(1): 95-104
Traditional approaches to data visualization have often focused on comparing different subsets of data, and this is reflected in the many techniques developed and evaluated over the years for visual comparison. Similarly, common workflows for explora
Externí odkaz:
http://arxiv.org/abs/2401.08411
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 9, p e174 (2018)
BackgroundHands-free voice-activated assistants and their associated devices have recently gained popularity with the release of commercial products, including Amazon Alexa and Google Assistant. Voice-activated assistants have many potential use case
Externí odkaz:
https://doaj.org/article/5267a7dfd5b949d28f71d8981ed309a7
The visual analytics community has long aimed to understand users better and assist them in their analytic endeavors. As a result, numerous conceptual models of visual analytics aim to formalize common workflows, techniques, and goals leveraged by an
Externí odkaz:
http://arxiv.org/abs/2304.09415
Documents in the health domain are often annotated with semantic concepts (i.e., terms) from controlled vocabularies. As the volume of these documents gets large, the annotation work is increasingly done by algorithms. Compared to humans, automatic i
Externí odkaz:
http://arxiv.org/abs/2304.04057
When people search for information about a new topic within large document collections, they implicitly construct a mental model of the unfamiliar information space to represent what they currently know and guide their exploration into the unknown. B
Externí odkaz:
http://arxiv.org/abs/2302.09448
Recommendation algorithms have been leveraged in various ways within visualization systems to assist users as they perform of a range of information tasks. One common focus for these techniques has been the recommendation of content, rather than visu
Externí odkaz:
http://arxiv.org/abs/2208.04219
Autor:
Tan, Hung-Jui, Spratte, Brooke N., Deal, Allison M., Heiling, Hillary M., Nazzal, Elizabeth M., Meeks, William, Fang, Raymond, Teal, Randall, Vu, Maihan B., Bennett, Antonia V., Blalock, Susan J., Chung, Arlene E., Gotz, David, Nielsen, Matthew E., Reuland, Daniel S., Harris, Alex HS, Basch, Ethan
Publikováno v:
In Urology August 2024 190:15-23