Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks-Reference-Cited by-同舟云学术

Towards Transparent, Reusable, and Customizable Data Science in Computational Notebooks

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:

Choi Frederick¹^ORCID,Rahman Sajjadur²^ORCID,Kim Hannah²^ORCID,Zhang Dan²^ORCID

Affiliation:

1. Grainger College of Engineering, University of Illinois at Urbana-Champaign, United States

2. Megagon Labs, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544549.3585807

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5. Alex Bäuerle , Ángel Alexander Cabrera , Fred Hohman , Megan Maher , David Koski , Xavier Suau , Titus Barik , and Dominik Moritz . 2022 . Symphony: Composing Interactive Interfaces for Machine Learning. In CHI Conference on Human Factors in Computing Systems. ACM , New York, NY, USA, 1–14. Alex Bäuerle, Ángel Alexander Cabrera, Fred Hohman, Megan Maher, David Koski, Xavier Suau, Titus Barik, and Dominik Moritz. 2022. Symphony: Composing Interactive Interfaces for Machine Learning. In CHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, 1–14.

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