SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

4 May 2023

Papers citing "SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks"

8 / 8 papers shown

Title
Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023 Angelos Chatzimparmpas Kostiantyn Kucher Andreas Kerren FAtt XAI OOD 24 8 0 18 Mar 2024
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings Zijie J. Wang Fred Hohman Duen Horng Chau 34 20 0 15 Jun 2023
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design Michelle S. Lam Zixian Ma Anne Li Izequiel Freitas Dakuo Wang James A. Landay Michael S. Bernstein 164 22 0 06 Mar 2023
GILP: An Interactive Tool for Visualizing the Simplex Algorithm Henry W Robbins Samuel C. Gutekunst D. Shmoys David P. Williamson 33 6 0 19 Oct 2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu J. W. Vaughan R. Caruana KELM 59 27 0 30 Jun 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 41 88 0 13 May 2022
In Defence of Visual Analytics Systems: Replies to Critics Aoyu Wu Dazhen Deng Furui Cheng Yingcai Wu Shixia Liu Huamin Qu AAML HAI 48 20 0 24 Jan 2022
VAINE: Visualization and AI for Natural Experiments G. Guo M. Glenski Z. Shaw Emily Saldanha Alex Endert Svitlana Volkova Dustin L. Arendt CML 43 8 0 09 Sep 2021