Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Saket, Bahador"'
This paper explores the potential of using Large Language Models (LLMs) to automate the evaluation of responses in medical Question and Answer (Q\&A) systems, a crucial form of Natural Language Processing. Traditionally, human evaluation has been ind
Externí odkaz:
http://arxiv.org/abs/2409.01941
When performing data analysis, people often confront data sets containing missing values. We conducted an empirical study to understand the effects of visualizing those missing values on participants' decision-making processes while performing a visu
Externí odkaz:
http://arxiv.org/abs/2109.08723
Biologists often perform clustering analysis to derive meaningful patterns, relationships, and structures from data instances and attributes. Though clustering plays a pivotal role in biologists' data exploration, it takes non-trivial efforts for bio
Externí odkaz:
http://arxiv.org/abs/1911.00988
We investigate direct manipulation of graphical encodings as a method for interacting with visualizations. There is an increasing interest in developing visualization tools that enable users to perform operations by directly manipulating graphical en
Externí odkaz:
http://arxiv.org/abs/1908.00679
Visualization tools usually leverage a single interaction paradigm (e.g., manual view specification, visualization by demonstration, etc.), which fosters the process of visualization construction. A large body of work has investigated the effectivene
Externí odkaz:
http://arxiv.org/abs/1907.08345
Autor:
Cashman, Dylan, Humayoun, Shah Rukh, Heimerl, Florian, Park, Kendall, Das, Subhajit, Thompson, John, Saket, Bahador, Mosca, Abigail, Stasko, John, Endert, Alex, Gleicher, Michael, Chang, Remco
Publikováno v:
Computer Graphics Forum 38(3) 2019, The Eurographics Association and John Wiley & Sons Ltd
Many visual analytics systems allow users to interact with machine learning models towards the goals of data exploration and insight generation on a given dataset. However, in some situations, insights may be less important than the production of an
Externí odkaz:
http://arxiv.org/abs/1809.10782
Autor:
Saket, Bahador, Moritz, Dominik, Lin, Halden, Dibia, Victor, Demiralp, Cagatay, Heer, Jeffrey
In this paper, we describe a research agenda for deriving design principles directly from data. We argue that it is time to go beyond manually curated and applied visualization design guidelines. We propose learning models of visualization design fro
Externí odkaz:
http://arxiv.org/abs/1807.06641
Autor:
Saket, Bahador, Endert, Alex
We present an exploratory study comparing the visualization construction and data exploration processes of people using two visualization tools, each implementing a different interaction paradigm. One of the visualization tools implements the manual
Externí odkaz:
http://arxiv.org/abs/1805.02711
Visualizations of tabular data are widely used; understanding their effectiveness in different task and data contexts is fundamental to scaling their impact. However, little is known about how basic tabular data visualizations perform across varying
Externí odkaz:
http://arxiv.org/abs/1709.08546
Static visualizations have analytic and expressive value. However, many interactive tasks cannot be completed using static visualizations. As datasets grow in size and complexity, static visualizations start losing their analytic and expressive power
Externí odkaz:
http://arxiv.org/abs/1708.01377