Challenges in Evaluating Interactive Visual Machine Learning Systems-Reference-Cited by-同舟云学术

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Challenges in Evaluating Interactive Visual Machine Learning Systems

Published:2020-11-01 Issue:6 Volume:40 Page:88-96
ISSN:0272-1716
Container-title:IEEE Computer Graphics and Applications
language:
Short-container-title:IEEE Comput. Grap. Appl.

Author:

Boukhelifa N.,Bezerianos A.,Chang R.,Collins C.,Drucker S.,Endert A.,Hullman J.,North C.,Sedlmair M.,Rhyne Theresa-Marie

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/38/9238532/09238590.pdf?arnumber=9238590

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simulation-based Optimization of User Interfaces for Quality-assuring Machine Learning Model Predictions;ACM Transactions on Interactive Intelligent Systems;2024-01-09

2. Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Tool Support for Improving Software Quality in Machine Learning Programs;Information;2023-01-16

4. Eliciting Model Steering Interactions from Users via Data and Visual Design Probes;IEEE Transactions on Visualization and Computer Graphics;2023

5. Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research;IEEE Transactions on Visualization and Computer Graphics;2023

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