Neo: Generalizing Confusion Matrix Visualization to Hierarchical and
Multi-Output Labels

Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels

24 October 2021

Jochen Görtler

AmirEmad Ghassami

Dominik Moritz

Kanit Wongsuphasawat

Marc Kirchner

Kayur Patel

Papers citing "Neo: Generalizing Confusion Matrix Visualization to Hierarchical and Multi-Output Labels"

7 / 7 papers shown

Title
ChannelExplorer: Exploring Class Separability Through Activation Channel Visualization Md Rahat-uz- Zaman Bei Wang Paul Rosen 31 0 0 06 May 2025
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AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 58 159 0 02 Jun 2023
ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty Yu Dong Jie Liang LongBing Cao D. Catchpoole 30 0 0 23 Mar 2023
ParaDime: A Framework for Parametric Dimensionality Reduction A. Hinterreiter Christina Humer Bernhard Kainz M. Streit 30 5 0 10 Oct 2022
No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization A. Mcnutt 34 24 0 16 Jul 2022
Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels Xiaoyi Zhang Lilian de Greef Amanda Swearngin Samuel White Kyle I. Murray ... Jeffrey Nichols Jason Wu Chris Fleizach Aaron Everitt Jeffrey P. Bigham 247 167 0 13 Jan 2021