To design interfaces for exploratory data analysis, we need theories of graphical inference

5 April 2021

Papers citing "To design interfaces for exploratory data analysis, we need theories of graphical inference"

10 / 10 papers shown

Title
The Value of Information in Human-AI Decision-making Ziyang Guo Yifan Wu Jason D. Hartline Jessica Hullman FAtt 77 0 0 10 Feb 2025
What are Data Insights to Professional Visualization Users? Po-Ming Law Alex Endert J. Stasko 6 13 0 29 Aug 2020
Bayesian-Assisted Inference from Visualized Data Yea-Seul Kim Paul Kayongo Madeleine Grunde-McLaughlin Jessica Hullman 14 31 0 01 Aug 2020
A Bayesian cognition approach for belief updating of correlation judgement through uncertainty visualizations Alireza Karduni D. Markant Ryan Wesslen Wenwen Dou 8 29 0 31 Jul 2020
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making Carrie J. Cai Emily Reif Narayan Hegde J. Hipp Been Kim ... Martin Wattenberg F. Viégas G. Corrado Martin C. Stumpe Michael Terry 59 399 0 08 Feb 2019
A Bayesian Cognition Approach to Improve Data Visualization Yea-Seul Kim Logan Walls P. Krafft Jessica Hullman 12 71 0 09 Jan 2019
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 58 538 0 21 Jan 2018
Foresight: Rapid Data Exploration Through Guideposts Çağatay Demiralp P. Haas Srinivasan Parthasarathy Tejaswini Pedapati AI4TS 24 33 0 29 Sep 2017
Progressive Analytics: A Computation Paradigm for Exploratory Data Analysis Jean-Daniel Fekete Romain Primet 66 84 0 18 Jul 2016
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 98 4,275 0 18 Nov 2011