CodeML: A Machine Learning-Assisted User Interface for Code Identification and Labeling-Reference-Cited by-同舟云学术

CodeML: A Machine Learning-Assisted User Interface for Code Identification and Labeling

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Chen Francine¹^ORCID,Hong Matthew K.¹^ORCID,Denoue Laurent¹^ORCID,Glazko Kate¹^ORCID,Sumner Emily Sarah¹^ORCID,Chen Yan-Ying¹^ORCID,Klenk Matthew¹^ORCID

Affiliation:

1. Toyota Research Institute, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3585587

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3. Interactive Topic Modeling for aiding Qualitative Content Analysis

4. Microsoft Power BI. 2022. Use AI Insights in Power BI Desktop. https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-ai-insights Microsoft Power BI. 2022. Use AI Insights in Power BI Desktop. https://learn.microsoft.com/en-us/power-bi/transform-model/desktop-ai-insights

5. Canvs. 2022. Canvs MRX: Open Ends to Insights. https://canvs.ai/canvs-mrx/ Canvs. 2022. Canvs MRX: Open Ends to Insights. https://canvs.ai/canvs-mrx/

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